Big Data Startups - Top Visualization and Data Analytics Startups

Wale Ayeni, 2013
olawalexi@gmail.com
Big Data
Analytics and Visualization landscape
Confidential. No part of this publication may be reproduced, stored in a retrieval system or
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About the author
Wale Ayeni, 2013
olawalexi@gmail.com
transmitted in any form or by any means without the prior written permission of the publisher
Professional
With about 10-years of domain expertise in technology spanning roles from chip design engineering, consulting, investment banking and
venture capital, Wale has always had a passion for science and technology. Currently working in a consultancy capacity with EchoVC
Partners, an early stage technology-focused Venture Capital firm in California, and before that, most recently was a Sr. Associate with
J.P. Morgan Investment Banking group covering technology, media and telecommunication companies (TMT) in San Francisco where he
was involved in strategic and financial advisory for leading public and private companies. He was a pivotal member of teams that
successfully closed deals valued at over $4 billion. His role also entailed researching and analyzing various technology trends, and
developing strategic alternatives for companies in the TMT space; in consumer internet and digital media, payments, semiconductor and
software. In addition, he was nominated to a leadership position and served on the “Analyst and Associate Council” of the firm interfacing
with the Executive Committee of JPMorgan Investment Bank on company wide efficiency and transformative initiatives.
Prior to J.P. Morgan Wale was a Chip Design Engineer working at the frontier of high-technology developing next-generation chipsets,
communication platforms and microprocessors at Fortune 100 companies – Motorola, Intel Corporation, and Qualcomm Inc. In his first 2
years at Intel Wale received the honor of being awarded “block design” ownership, a distinction rarely granted to new Engineers. In this
role he led critical aspects of Intel’s “QuickPath” chip design, which resulted in the biggest change in PC platform architecture in Intel’s
history. For Qualcomm he led “Bus protocol” verification of state-of-the-art mobile HDTV chipsets for wireless multimedia ecosystem
enabling the first mobile devices capable of high definition content in the market.
In Wale’s consulting roles he developed strategic growth alternatives into China for a US automation client, worked on branding strategy
for Adimab, a startup backed by Google ventures, and regularly mentors startup entrepreneurs in the developing world.
Education Summary
Wale has an MBA from Dartmouth College – Tuck School of Business – where he served as the Co-Chair of the Finance club and was an
MBA fellow with the Center for Private Equity and Entrepreneurship. He has a Masters in Electrical Engineering from University of
Maryland, College Park and was a national merit recipient earning his B.Eng under academic scholarship in Moscow, Russia, at
“Moskovskij Energeticeskij Institut,” graduating with the prestigious “red diploma” (summa cum laude) . He is also a Kauffman “Venture
Capital” fellow. The society of Kauffman fellows is a pre-eminent world-wide network of innovation investors who provide smart,
connected capital to fuel entrepreneurial change.
Personal
Wale enjoys international travel and has been to over 25 countries. In addition to his native English he speaks Russian, Yoruba, and
Hausa fluently and speaks several other languages passively. In his free time he enjoys playing and watching soccer; and proudly took
the Tuck soccer team to the MBA World Cup. His other pastimes include career mentoring, watching movies, reading and defending
Formula 1 as a superior sport to NASCAR

Big Data opportunity driven by people and devices
Connecting people
500 million users
145 billion/day
Over 1 billion accounts
4 billion views/day
More mobile connected
devices than people
on the planet1
More than 50 billion
connected devices
by 20202
Twitter
Facebook
YouTube
E-mail
2
Variety
90% of data in the world today was created in the last 2 years alone3
VolumeVelocity
Unstructured
+
Structured data
5 exabytes of data
created every 48 hours
From Terabytes of data
to Petabytes of data
BIG DATA
Connecting devices
Source: 1CISCO VNI; 2Ericsson; 3IBM

Explosive growth in digital data is creating massive
~$100bn Big Data opportunity
Growing share of enterprise data is unstructured Volume of digital information created and replicated (ZB)
Structured data
64%
Unstructured data
36%
Structured data
23%
Unstructured data
77%
Source: IDC, Wall Street research
2006 2015E
1,800
7,900
2011A 2015E
Source: IDC
Relational database
$27
Hadoop
$14
Business intelligence
$13
Server for DB
$12
Industry applications
$12
Storage of DB
$9
Unstructured data
$6
Enterprise applications
$5
Data integration and quality
$4 NoSQL
$2
Total addressable market for Big Data = $100bn
Massive ~$100bn TAM ($bn)
Source: Garter, IDC, BofA Merrill Lynch Global Research
3

The scale is tipping towards Big Data
Control
Consistency
Data management and planning
Predefined, structured data
Terabytes or petabyte range
Enforced by the database
management system
Mature standards
Traditional methods Big Data
Tolerating chaos
Agility
Data discovery
Diverse
Petabyte scale at relatively reasonable cost
Programmer and application dependent
Largely nonexistent standards
4

Key trends in information management
Data
warehousing
Data
integration
Analytical
solutions
Search and
discovery
 Growth in the data warehousing market due to replacement of performance-constrained environments and the value-add of emerging applications
(e.g., performance management and advanced analytics)
 Significant consolidation as incumbents pick up smaller vendors with compelling technologies and large IT vendors seek to add data warehousing technologies to
centralize their presence within clients’ data ecosystem
 Warehouses continue to evolve from pure-play data repositories to comprehensive information platforms that leverage multiple technologies
(e.g., Hadoop, MapReduce) to handle real-time, unstructured data
 Addressing increased demand–particularly from marketers–for access to third-party consumer data and real-time pricing information
 Leading vendors offer sophisticated products with a high level of service and perceived high value, but at a high cost
 Vendors with less brand recognition offer less mature products, but may be positioned to gain share as capabilities expand
 SaaS and cloud models are becoming more sought after to capitalize on cost and ease of deployment features
 General data integration as a service is available, but most common with synchronization
 Organizations increasingly layer large volumes of data from external parties (e.g., offline customer data, market research) onto internal structured data, driving
demand for automated integration services in Big Data offerings
 Pure-play suppliers of other Big Data solutions continue adding analytical capabilities to support growing demand for real-time analysis of operational and
corporate performance
 Specialized offerings from vendors like Splunk and broad offerings from vendors like Palantir are expanding the analytics use case, driving adoption across the
enterprise
 Vendors like Tableau are developing a new market of business users who demand access to information with graphical interfaces to access data real-time
 Despite growth of vendors that target specific industries, there remains high demand for customer-focused solutions (marketing, sales, service and social
dimensions), driving growth of cross-industry functional offerings like marketing automation
 Large vendors–who are developing and acquiring search services to layer into existing applications–represent default choices for customers, forcing independent
vendors to specialize in particular business problems
 Oracle's 2011 acquisition of Endeca and IBM’s 2012 acquisition of Vivisimo are prime examples
 Increasing popularity of appliances due to simplicity, speed and compliance
 Search and discovery prove particularly beneficial to marketing teams, which increasingly leverage external market context (e.g., product reviews) in
campaign development
 Adoption of search-based discovery is likely to increase in the near term with growing deployment of Big Data solutions
Content
management
 Businesses are increasingly focused on content management due to the growth in volume and complexity of data–particularly user–generated social, video and
mobile content
 Enterprise adoption of cloud collaboration and filing tools (e.g., Box) is increasing as security concerns are addressed
 Open source vendors and competitive “stack” offerings have driven price per seat down, stimulating demand
 Point purchases are common, as no single person controls the budget for all of an organization’s content management needs
 Innovation in the management of contextual content–current customer location, mobile device in-use, etc.–will give enterprises the ability to more effectively target
audiences in marketing campaigns
Source: Gartner, Forrester, IDC
5

Big Data is not a vertical, it is a competency that cuts
across industries
Analyze
+
Visualize
Industry Key themes
Manufacturing
Retail and
transportation
Utilities
Healthcare
Oil and gas
Government and
research
Financial
 Surveillance
 Sensors
 RFID
 RFID
 Marketing/Branding
 Merchandizing
 Smart meters
 Smart grids
 Massive digitization
 Medical imaging
 Demographics–baby boomers
 Digital oil fields
 Sensors
 Seismic and geographical devices
 Climate research
 Seismology
 Environmental modeling
 Payments
 Fraud detection
 Capital markets / Trading
Generate data
Capture data
Store data
Search data
6

Evolution of next generation data analytics and
visualization
Data warehouse
GBs of Data
TradingHRGLWebLogsMobileSensors
Datamart
OLAP
cubes
Data
Sets
Next
generation
analytics and
visualization
Interactive
development
environment
TBs of Data
BigDataanalyticsTraditionalanalytics
TBs of Data
PBs of Data
7

Demand for next-generation analytical solutions is driving
a revolution and significant value shift
Note: Represents illustrative portion of information management expenditures
1 As of 2011. Source: IDC, June 2012
2 As of 2011. Includes Business-to-Business Middleware, Enterprise Service Business and Connectivity Middleware, Event-Driven Middleware, Other Integration and Process Automation
Middleware, Process Automation Middleware, Data Integration and Access Software, Database Development and Management Tools. Source: IDC, May 2012
3 As of 2011. Includes relational database, non-relational database, data warehouse generation and management, search and discovery, open-source and Hadoop markets.
Sources: IDC, Gartner
Database
Integration
BI
Database
Integration
BI
Today Future
Data analytics
in action
Data
infrastructure
$10bn1
$17bn2
$43bn3
Waves of change
 Big Data
 Internet of everything
 Mobility
 Real time
 Social
 Cloud
8

Incumbents and other large players invest and acquire
heavily in Big Data
 Greenplum acquisition provides a suite of Big Data management and analysis tools; Greenplum HD enables even easier
Hadoop deployments
 Strong storage solutions support Big Data deployments; Atmos cloud storage platform enables distributed storage for
Big Data analytics
 Acquisition of Autonomy and announced restructuring of business in August 2011 demonstrated the importance of information
management software to HP
 Acquired Vertica in early 2011
 Released Vertica 5.0 in June 2011, including a software development kit enabling users to implement MapReduce like analytic jobs
and user-defined functions through standard SQL queries
 Big Data viewed as key to its SmartPlanet and SmartEnterprise initiatives
 Most of recent acquisitions (DemandTec, Q1 Labs, i2) positioned under its definition of Big Data and analytics
 Expanding market reach with new Netezza High Capacity Appliance
 New Biglnsights 1.1 release reflects its significant investment in Hadoop
 Big Data strategy largely based on its Exadata platform
 Acquisition of Endeca viewed as response to HP’s acquisition of Autonomy
 Recently announced plan for its Hadoop-based “Big Data accelerator”
 Acquisition of SuccessFactors helps extend its Big Data initiatives into the cloud
 HANA platform enables analytics across SAP’s broad set of applications and customer base
 Acquisitions of Sybase and Business Objects viewed as successes and encouragement for additional deals
 Aster Data acquisition significantly expanded its Big Data capabilities
 Addressing clients’ Hadoop needs via recent partnership with Hortonworks
 Acquired Aprimo to enable event-based marketing together with its data solutions
 Strong track record in enterprise data warehousing helps its Big Data initiatives
Source: Company information, Factiva, CapitalIQ
9

Big data landscape
Emerging players : Data Analytics and Visualization
Marketing and e-Commerce
Social
Location/future eventsMarket places
Analytics and visualization
Machine data
Statistical
10

Profiles
Machine data
Marketing and e-commerce
Social
Market places
Location/future events
Statistical
11
71
65
61
52
44
39
11

1010Data - Company overview
Management
Name Designation Prior experience
Sandy Steier CEO and Co-founder UBS, Lehman Brothers,
Joel Kaplan CTO and Co-founder UBS, Morgan Stanley
Greg Munves Executive VP
Adam Jacobs VP and Chief Scientist Weill Cornell Medical College, UCLA
T.C Fleming Director of finance Duff & Phelps, Deloitte
Recent news
 May 14, 2012: Announced that the nation’s largest chain of drive-in
restaurants SONIC, will be using Big Data Warehouse to enable critical
business decisions ranging from operations to marketing
 Feb 28, 2012: Launched Micro Segmentation Wizard tool to enable
companies to model and predict individual consumer behavior and social
network relationships
 Sep 16, 2011: Received Safe Harbor Certification for its cloud based big data
analytics platform
 Feb 7, 2011: Partnered with American Securitization Forum and launched
Agency MBS Market Review reports
Business overview
 Provides cloud based analytical platform for Big Data
 Solutions include analytics, business intelligence, data publishing and
warehousing services
 Value proposition includes ultra fast database technology, scalability, easy to
use interface, powerful analytics-on-demand data integration and access
through web interface
 Raised first institutional round of funding in 2010 by selling minority stake to
Norwest Venture Partners for $35mm
 200+ customers across financial services, retail, consumer packaged goods,
telecom and healthcare
 More than 5trn records in 1010Data cloud
 Revenue for year 2011A was $30mm of which 83% was Big Data revenue
 Founded in 1999
 Headquartered in New York
Data warehouse 3.0
 Combines technological innovations in data storage, parallel processing and
network communications
 Benefits include speed, scalability, simplicity and interactive interface
 Provides cloud base for lower cost of ownership, effortless data access and
easier monetization of information
Key customers
Key partners
Source: Company information, Capital IQ
12
Analytics and Visualization
Marketing & e-commerce
Social
Market places
Machine data
Location/events
Statistical

1010Data - Solutions overview
Interface
Trillion row
spreadsheet
Application
program
interfaces
Ten Do
 Command line tool that provides direct access to 1010
data system
 Executes queries, stores results and performs
data manipulation
 Allows users to analyze data in easy to use
spreadsheets
 External applications can query trillion row spreadsheet
by ODBC, an XML API, SDK’s
 Data is stored in the cloud which solves processing
and RAM problem
 Users can analyze and access data by 1010 browser
based interface or by client side applications
 Customer application running on user’s machine can
access data on 1010 data database servers
Power loader
 Allows customers to upload data themselves in
two ways
 Browser based user interface to upload simple
tables with one megabyte of data each
 For larger datasets Power Loader Application
program interface is used where applications
running on user’s machine can upload data to
1010 data
Excel add in
 Combines Excel’s input and output presentation
capabilities with power of 1010 data back end
 Enables users to create spread sheets that
automatically access 1010 platform
Financial
services
Retail and CPG
Telecom
 Users can load, search and analyze large amount of
data using simple interactive browser interface
 Provides insight on churn rates, value added services
and offering rates, customer segmentation, behavior
and service usage
 Combines high performing back end database with
web based front end user interface and provides tools
to analyze, manage and present data
 Sub categories include
 Mortgage asset backed securities: Provides
solutions to analyze loan and deal level data for
prepayment, delinquency, default
 ASF Market Review: Releases reports providing
statistics of loans securitized into US MBS
guaranteed by FNMA and issued by
private institutions
 Exchanges: Helps to analyze multi terabyte
databases including trade, quote and limit
order information
 Hosted databases: Host various databases like
Agency MBS Pool Data, NOAA Weather Data, Core
Logic Prime
 Allows to analyze billions of sales and inventory
transactions and gain insight
 Prepares customized reports, can download entire
range of retailer datasets including POS transactions,
inventory, product characteristic
 Allows external interfaces and other tools could be
connected to 1010 data platform using ODBC driver or
through custom add ins
Industries
13
Social
Market places
Machine data
Location/events
Statistical

Name Title Affiliations/experience
Dean Stoecker Chairman & CEO Integration Technologies, Donnelly
Marketing Information Services
George Mathew President & Chief
Operating Officer
SAP, salesforce.com, Fort Point
Partners
Gary Acord CFO KPMG, KACE
Total capital raised: $6.0mm
Last round: Series A, $6.0mm
Alteryx overview
Investors
Business overview
Management
 Provides an easy-to-use analytics platform for enterprise companies making critical
decisions that drive their business strategy and growth
 Humanizes Big Data by enabling business analysts and Data Artisans to combine Big
Data with market knowledge, location insight and business intelligence
 Performs predictive and spatial analytics and produces analytic apps that can be
shared via the private cloud or the Alteryx Analytics Gallery public cloud
 End markets: Automotive, commercial real estate, restaurants and entertainment, fast
moving consumer goods, retail franchising and telecommunications
 Has 250+ customers and 200,000+ users worldwide
 Founded in 1997
 Headquartered in Irvine, CA
 Also has offices in Boulder and Silicon Valley
Key customers
Products overview
 Point-and-click UI: Builds analytics with no coding
 Personal ETL: Pulls data from internal, Big Data, or cloud
 Data quality tools: Builds clean and credible data sets for analysis
 Predictive Analytics: Pre-built R tool makes predictive accessible to all
 Agile database: Takes on structured, un-structured and spatial data
 Single-click publishing: Shares analytic apps iPrivate Cloud or Alteryx
Analytic Gallery
 Ad hoc analysis in minutes: Designs and redesign scenarios on the fly
 Provides interactive charts and maps
 Offers spatial analysis
 Apps builder: Creates and shares analytic apps with a drag-and-
drop wizard
 Integrates Alteryx data, insights and applications into other systems with
open API and SDK
 Publishes and shares analytic applications with full control over access,
visibility and sharing
 Enables scheduled, event-triggered and ad-hoc analysis to support
critical decisions across companies
DesignerdesktopAnalyticappsCloudserver  Provides consumerization of Big Data AnalyticsAPI
14
Social
Market places
Machine data
Location/events
Statistical

Gurjeet Singh CEO Stanford University (PhD)
Gunnar Carlsson Co-Founder Stanford, Harvard
Harlan Sexton Co-Founder and VP Stanford, Oracle, Lucid
Ayasdi overview
Business overview
 Utilizes topological data analysis to provide insight from disparate
and complex data sources
 Insight discovery platform allows users, not just data scientists, to
discover useful insight from complex data without the need for
queries
 Applying topological data analysis to business problems after a
decade of research at Stanford, DARPA and NSF
 Product is highly scalable, can deal with distributed work loads and
includes powerful visualization and integration API
 End markets include life Sciences, Oil & Gas, Public sector,
Financial services, Manufacturing, Retail, Telecom, Sports
 Founded in 2008
 Headquartered in Palo Alto, California
Product : Insight discovery without queries
Management
Key customers
15
Social
Market places
Machine data
Location/events
Statistical
Investors

Atanu Basu CEO N/A
Ayata overview
Business overview
 Provides analytics delivered through SaaS model
 Predicts future outcomes of critical business processes and also
prescribes decision options and shows the impact of each option
 Elements used in Ayata software
 Data: Takes both structured and unstructured big data
 Rules: Defines the business process and includes constraints,
preferences, policies, best practices and boundaries
 Models: Comprises of techniques derived from mathematical
sciences and related disciplines including applied statistics,
machine learning, operations research and natural language
processing
 End markets
 Oil & gas: Prescriptive Analytics software accurately predicts
production issues by modeling numerous internal and external
variables simultaneously
 Healthcare: Helps providers and payer organizations to identify the
best candidates for Telehealth services by combining patient data
with external data
 High tech: Helps technology firms make major investments in
customer service by predicting the key metrics invloved
 Telecom & cable: Enables telecom and cable providers to
dramatically improve effectiveness and efficiency of field
service operations
 Founded in 2003
 Headquartered in Austin, TX
Prescriptive analytics
Management
Key customers
 Accounts for 80% of all business analytics
 Describes the phases of analysis completely
 Uses historical data combined with rules, algorithms
external data to predict future outcomes
 Also gives details of how the user will benefit from
the prediction
 Automatically synthesizes big data, mathematical sciences,
business rules and machine learning to suggest decision
options to take advantage of the predictions
 Shows the decision-maker the implications of each
decision option
DescriptivePredictivePrescriptive
16
Social
Market places
Machine data
Location/events
Statistical

Last round: Series D(May 2012), $26.0mm
Birst overview
Products overview
Birst
discovery
edition
 Empowers business analysts to intuitively explore data
and build reports in minutes without the need for
data modeling
 Well suited for projects that require ﬂexible data-discovery
and analytics without a data warehouse
Birst
professional
edition
 Builds on the data discovery capabilities of the Discovery
Edition with operational reporting, mobile BI and support
for SAP R3 and BW
 Well suited for multi-developer projects that integrate
enterprise data sources and publish operational reports
Birst
enterprise
edition
 Includes data discovery, analytics, Mobile BI and
operational reports with support for all enterprise
data sources
 Also includes integrated ETL and an automated
multidimensional data warehouse
Recent news
 Nov 15, 2012: Announced a business intelligence replacement program,
“Birst4BOBJ,” for SAP customers
 Oct 17, 2012: Announced Birst Big Data Services, end-to-end solution to
turn large volumes of unstructured data into analytic applications
Customers
Management
 End-to-end BI solution that supports interactive dashboards, ad-hoc analysis
and visualization to pixel-perfect and report writing
 Provides data integration from on-premise databases, flat and structured
files, operational and cloud applications
 Supports organizations of various sizes, from individuals to groups and
companies worldwide
 Used in finance, operations, sales, HR, marketing, service analytics, supply
chain functional areas, sales analytics, wealth management and insurance
applications
 Formerly known as Success Metrics
 Founded in 2005 and headquartered in San Francisco, CA
 Additional offices in India
Business overview
Management
Brad Peters CEO & Co-Founder Siebel Systems, Morgan Stanley
Paul Staelin VP, Customer Success &
Co-Founder
Siebel Systems, emPower
Corporation, Sun Microsystems
David Kaplan CFO Arcot Systems
Rick Spickelmier CTO &VP, Engineering Geac, Extensity, Objectivity
Board of Directors
Douglas Leone Board member Sequoia Capital
John Hummer Board member Hummer Winblad
Young Chung Board member DAG Ventures
Doug Merritt Board member Cisco, Baynote, SAP
Investors
Source: Company information, Capital IQ, Crunchbase
17
Social
Market places
Machine data
Location/events
Statistical

Centrifuge overview
Smita Bose CEO Booz Allen Hamilton, Novak Biddle
Venture Partners
Brian Daum CFO Arc Second, Sandbox.com, Multimedia
Medical Systems
Prashanth Boccasam Executive
Chairman
Copiun, Approva, Appfluent, Appian,
Entevo
Business overview
Management
 Provides Visual Network Analytics (VNA) solutions that help organizations
discover insights, patterns and relationships hidden in public, cloud,
enterprise data and social network
 VNA solutions enable analysts to identity fraud which is used in cyber-
security, counter-terrorism, homeland defense, retail theft and financial
services
 Offers training support and consulting services
 Formerly known as Tildenwoods Corporation
 End markets: Government, financial services, pharmaceuticals, retail
 Founded in 2007
 Headquartered in McLean, VA
Investors
Last round: Series A2, $2.0mm
Key partners
Products overview
 Enables business users to visualize patterns in big data that help
them uncover complex fraud, loss and leakage
 Gives power and flexibility to connect, visualize and collaborate
without complex data integration, costly services or a data
science degree
 Allows analysts to integrate data, show hidden connections using
relationship maps and dynamically explore data in a highly
interactive way
 Provides flexible data ingestion, sophisticated link and temporal
analysis and interactive and collaborative discovery
 Browser-Based Client: Provides a seamless and interactive
interface regardless of complexity
 Server Side Processing: Used for complex patterns, link and
temporal analysis
Visualnetworkanalytics
 Oct 18, 2012: Appointed Ben Shneiderman to its Advisory Board
 Apr 30, 2012: Appointed Tony Ayaz as its Senior VP of Field Operations
Recent news
18
Social
Market places
Machine data
Location/events
Statistical

Chart.io overview
Dave Fowler Founder & CEO IBM
Justin Davis CTO & Engineer GE, Splunk
Caleb Poterbin Design & Marketing Splunk
Praveen Gollakota Engineer Micron Technologies, Veenome
Mark Shirley Engineer Cisco
Business overview
Management
 Provides enterprise analytics tools for small and medium businesses
 Enables the creation of intuitive charts and dashboards from the client’s data
 Explores and presents web analytics and the data stored in client’s
database–systems
 Builds support for the SQL databases and offers a chart creation tool and
live reports
 Provides simple, secure connections to the popular data sources such as
MySQL, PostgreSQL, Oracle, Amazon web services, Heroku,
Google Analytics
 Founded in 2010
 Headquartered in San Francisco, CA
Investors
Key customers
Security overview
 Controlled Servers: Accesses data through controlled servers, which are
protected by industry-standard security measures, both physical
and electronic
 Read-only Access: Has read-only access to database and an extra layer of
security that prevents violent database queries from coming through like drop
or insert
 Trusted Services: Works with data services like Google Analytics directly
from their trusted API and does not store data
 SSL Encryption: Transfers only SSL encrypted data
 Permission Users: Helps administrators to add data, creators to build charts
and also provides interactions with dashboards
 Nov 14, 2012: Launched analytics dashboard to connect and compare data
sources
 Oct 31, 2012: Raised $3.2mm in a Series A funding led by Avalon Ventures
with Bullpen Capital participating. This round brings the company’s total
funding to $4.4mm
Recent news
19
Social
Market places
Machine data
Location/events
Statistical

ClearStory Data overview
Sharmila Shahani-
Mulligan
Founder & CEO Netscape, Kiva Software, AOL,
Opsware, Aster Data
Vaibhav Nivargi Founder Aster Data
Douglas VanderMolen Chief UX Architect Google, MeasureMap
Business overview
Management
 Harmonizes relationships between disparate sources including low latency
data while processing at scale
 Offers technology that makes users gather, diverse and disperse data for
intuitive insights
 Derives data from ecosystem on big-data repositories, including Hadoop,
relational databases, data warehouses and external sources
 Creates self-driven data exploration tool
 Also provides data processing, analytics and visualization services
 Founded in 2011
 Proven management team; operated in stealth mode initially
 Headquartered in Palo Alto, CA
Investors
20
 Dec 05, 2012: Raised $9mm in Series A funding lean by Kleiner Perkins
Caufield and Byers joined by previous seed round investors Andressen
Horowitz and Google Ventures
Recent news
Social
Market places
Machine data
Location/events
Statistical

Cirro overview
Stuart Frost Chairman Select Software Tools
Mark Theissen CEO Microsoft, Meta Group, Brio
Technology
Bill Guerry CFO Ernst & Young
Dave Salch Chief Technology
Officer
8e6 Technologies
Cliff Currie VP, Business
Development
DATAllegro, Oracle
Don Howren VP, Marketing Epicor, Sage, Accruent
Business overview
Management
 Solves issues around Big Data and provides ability to combine Big Data with
other types of data
 Provides an easy-to-implement, highly scalable, cloud-based data store for
the staging, processing and persistence of data
 Deploys products in Cloud and servers
 In Cloud products can run on public, virtual private and on-premise cloud
environments
 Founded in 2010
 Headquartered in San Juan Capistrano, CA
Investors
Key customers
Products overview
 Provides a single point of entry for accessing data of any type on
any platform in any environment
 Delivers all of the benefits of data virtualization solutions without
the overhead, management and administration typically associated
with those solutions
 Delivers the power of the Cirro Data Hub to the desktop of typical
excel users
 Allows business analyst to use Cirro Analyst to access and
process big data along with any other type of data
 Consists of Cirro Function Library that contains more than 100
building block functions that are used by the Cirro Data Hub for
both SQL and MapReduce processing of data
 Provides an easily deployable data store for use as a staging
area, workspace or datamart
 Includes a Hadoop cluster and a tightly integrated
relational database
DatahubAnalystforexcelMultistore
21
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Market places
Machine data
Location/events
Statistical

Name Position Affiliations and past experience
Management
Stefan Groschupf Co-founder
and CEO
Scale Unlimited, 101tec, Thinglink
Tom Leep CFO Polaris Wireless, Apptera, SS8 Networks
Board of Directors
Kirk Bowman Director Accel
Jeff Miller Director JAMM Ventures, Documentum, Redpoint
Ventures, Intel
Ellen Pao Director Kleiner Perkins
Shawn Price Director Zuora
John Walecka Director Redpoint Ventures
Datameer - Company overview
Source: Company filings, Wall Street research, CrunchBase, Capital IQ
Business overview
Management and Board of Directors
 Provides analytics solution built on Hadoop that helps business users access,
analyze and use massive amounts of data
 No ETL, no static schemas
 Wizard-based data integration of structured and unstructured data with
20+ connectors
 Familiar spreadsheet interface including 200 built-in analytic functions
 Drag and drop visualization, reporting and dashboarding
 Scalability and cost-effectiveness of Hadoop
 Scales petabytes of data and is available for all major Hadoop distributions
including Apache, Cloudera, EMC, Hortonworks, IBM, MapR, Windows Azure,
Yahoo! and Amazon
 Funding to date: $12mm from KPCB and Redpoint Ventures
 Founded: 2009
 Headquarters: San Mateo, CA
Products and solutions
Recent news
 Feb 28, 2012: Announced a relationship with Microsoft Corporation to support
Datameer on the Apache Hadoop-based service on Windows Azure
 Jan 25, 2012: Shawn Price joins Board
 Oct 5, 2011: Launches new desktop trial edition
 Sep 21, 2012: DataSift selects Datameer to power new social
analytics offering
Customers
22
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Machine data
Location/events
Statistical

Dataspora overview
Michael Driscoll Chairman & Founder CustomInk.com
Bartev Vartanian N/A
Group One Trading,
Cutler Group
Suman Ganguli
Expert, Mathematics
and Computer science N/A
Antonio Piccolboni Data Scientist N/A
Susanne Lehman Database Specialist IBM Global Services
Management
 Combines next generation machine-learning platform with the power of
massively parallel super-computing to develop probabilistic causal models
and other predictive analytics tools
 Models customer churn, optimizes online advertisements and builds product
recommendation engines
 End markets: Telecommunication, retail, healthcare, quantitative trading
 Founded in 2008
Business overview
News
 Mar 4, 2011: Via Science acquired Dataspora to create and provide
actionable information for their clients
Solutions overview
 Detects high-risk subscribers
 Connects with customers promptly and provides them with the
right resources
 Offers for free or discounted products, or services at the right time
to potentially prevent churn
 Aids telecommunications providers lower churn rates
 Allows clients to optimally allocate their budget, so that only the
product features that significantly drive revenue receive more
resources
 Predicts commercial success from product attributes
 Enables users to observe billions of transactions to accurately
identify fraudulent behavior and eliminate false positives
Predictivecustomer
churnmodeling
Prediction
Fraud
detection
 Leverages both proprietary and open-source tools to extract knowledge from
high dimensional datasets
 Creates causal network models to solve the toughest Big Data challenges
 Network models capture causal relationships and correlations from massive
data sets
Technology
23
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Machine data
Location/events
Statistical

Domo overview
Source: Company information, Capital IQ, Factiva, Cruncbase
Investors
Josh James Founder, CEO and
Chairman
Omniture, Demand Media,
Rakuten, InsideSales.com
Chris Harrington President, Director Omniture, Allegience and Lyris
Daren Thayne Chief Technology Officer Ancestry.com, Interbank FX
Heather Zynczak Chief Marketing Officer SAP, Oracle, Accenture, The
Boston Consulting Group
Steve Wellen COO Omniture
Scott Lindeman VP, Finance Otix Global, SIRVA, Global
Crossing, KPMG
Business overview
 Provides an executive management platform as a software-as-a-service
solution for managers and executives to run their business
 Also provides builder solutions for organizations to customize the platform for
their own needs and various developer tools
 Offers customized software tools for business operations, customer
relationship management, human resources and financial reporting
 Founded in 2010
 Headquartered in American Fork, UT
Customers
Recent news
 Oct 01, 2012: Domo was named “Startup of the Year for 2012” by “The
Business Intelligence Group”, hosts of the 2012 BIG Awards
 Sep 19, 2012: Announced appointment of Chris Harrington as company’s
president effective immediately
 Aug 27, 2012: Announced appointment of Steve Wellen as company’s COO
 Apr 07, 2012: Announced appointment of Deason Zynczak as Chief
Marketing Officer
 Feb 03, 2012: Raised $20.0mm of Series A2 funding from Institutional
Venture Partners
Management
24
Social
Market places
Machine data
Location/events
Statistical

Jaspersoft overview
 Provides open source business intelligence software worldwide
 Specializes in training, jump-start and pilot programs, production audits,
support packages and support policies
 Over 175,000 production deployments for 100,000 data-driven applications
spanning 14,000 commercial customers
 End markets: Aerospace, communications, education, entertainment,
financial services, government, healthcare, manufacturing, printing, real
estate, retail, software, systems integration, transportation and travel
industries
 Key Competitors: Actuate Corporation, Business Objects, Cognos, Hyperion
Solutions, Information Builders, Microsoft Corporation, Qlik Technologies
 Founded in 2001
Business overview Products
Management
Name Designation Past Experience
Brian Gentile CEO & Chairman Informatica Corporation, Brio
Software
Jim Johnson CFO & Senior VP, Finance
& Operations
MSC Software, VGH, Veritas
Jim Bell Chief Marketing Officer SmartTurn, Electric Cloud and
Actuate Corporation, Vantive
Clive Harrison Senior VP, Worldwide Field
Operations
Pilot Software, Oracle,
Information Resources,
Informatica
Joseph
Rozenfeld
VP, Engineering & Chief
Technology Officer
Skytide, Chaincast, Media
Guarantee
Karl Van den
Bergh
VP, Product and Alliances Kickfire, ASG
Investors
Last round: Series F, $11.0mm
Source: Company information, Capital IQ, Factiva, Cruncbase
JasperReports
Library
 Combines data sources and produces pixel-perfect
documents that can be viewed, printed or exported into a
variety of document formats
iReport
Designer
 Builds interactive reports from any data source, formats
the look for print or on-screen reading and exports to a
wide range of formats
Jaspersoft
ETL
 Extracts data from various sources, transforms the data
based on defined business rules and loads into a
centralized data warehouse or data mart
JasperReports
Server
 Generates, organizes, secures and delivers interactive
reports and dashboards to users
Jaspersoft
OLAP
 Analyses large data sets and performs complex queries
Customers
25
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Machine data
Location/events
Statistical

ISS overview
 Provides software development and systems analysis services for
government, state and corporate customers in the US
 Offers service oriented architecture, cloud computing, data analysis and
visualization, machine learning and command and control solutions
 Specific domain strengths include: Command & Control, Special Operations,
Intelligence Analysis, Counter-Drug, Counter-Terrorism, Counter-IED,
Homeland Security and Defense
 Also offers mobile and multi-touch interaction, geospatial intelligence, geo-
temporal analysis and semantic data processing solutions
 Revenues 2010A: $122mm
 Acquired Xpect Software, provider of commercial software solutions to the
government and military sectors, to expand its reach
 End market: Space, air, maritime, intelligence, research and development
and land-based warfare
 Employees: ~500
 Founded in 1997
 Headquartered in Colorado Springs, CO
 Has additional offices in WA, NY, VA, MA and FL
Business overview Solutions overview
Management
Jay Jesse President &
Co-Founder
GTE Government Systems, Department
of Defense organizations and intelligence
agencies
Nikki Herman CFO N/A
Lisa Jesse SVP & Co-Founder Northrop Grumman, GTE Government
Systems, Logicon,Texas Instruments
Jesse Miller SVP, Co-Founder &
Chief Architect
GTE Government Systems
 Helps not only to integrate and share data but also bridge processes,
tasks and services
 Offers data access and visibility by taking an open source, standards
based architectural approach to cloud creation and data sharing
 Provides GeoStratus which helps professionals quickly augment the
globe by converting their existing spatial data into Google Earth
viewable Keyhole Markup Language (KML)
 Offers Resero which aggregates different sources of geo-referenced
data into a single view so that users can participate in live, online
collaboration and construct queries on the fly
SOACloud
Geospatial
intelligence
 Converts information overload into information advantage
 Provides with crisp planning, command decisions and
successful missions
Data
Visualization
 Provides a single, temporal data structure and supporting applications
for managing and interacting with that data structure
C2
 Allows warfighters in both theater and homeland security settings to
view, manipulate and share critical on several different platformsMobile
Key customers
26
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Machine data
Location/events
Statistical

Last round: Series B(September 2011), $6.0mm
Management
Gail Ennis CEO Omniture, BEA Systems, Oracle
Martin Hall Founder, Chairman &
EVP Corporate Dev.
Aventail, Stardust
Rich Guth VP, Marketing & CMO NeXT Software, Apple, Sybase
Daniel Moskowitz VP & CFO Zend Technologies, Intel, Intuit
Board of Directors
Ann Winblad Board member Hummer Winblad Venture
Partners
David Liddle Board member US Venture Partners
Shun Aramaki Board member Presidio Ventures
Debby Meredith Board member Jafco Ventures
Karmasphere overview
 Operates as a data intelligence software company
 Helps equip companies to unlock the power of Big Data in Hadoop
 Integrates with diverse sources of multi-structured data and turns it into
native Hive tables–making it easy to gather the assets and input you need
 Offers the ability to run regular and ad-hoc SQL queries against data through
a self-service interface that provides immediate access to valuable insights
 Also provides cluster monitoring, job monitoring and file system
management services
 Founded in 2005 and headquartered in Cupertino, CA
Management
Recent news
Investors
Karmasphere
2.0
 A web-based social interface to provide users with self-
service access to ingest Big Data for analysis, visually
explore the data for patterns and trends, analyze the data
using familiar queries, visualizations and skills and to
easily publish the insights
Karmasphere
Analyst
 Software for data professionals working with massive
data sets
 Allows users to perform exploratory analysis, run ad-hoc
SQL (HQL) queries and generate insights from their big
data on Hadoop
Karmasphere
Analytics
 A graphical solution for data analysts and their business
user colleagues to analyze any data on Amazon S3
powered by Amazon Elastic MapReduce
 Provides support for Multiple AWS Account, Multiple Job
Flow Configurations, S3 File Browser
 Nov 15, 2012: Announced a partnership with Tableau to provide a rich,
collaborative, social, end-to-end Big Data analytics solution for Hadoop
Recent news
Key partners
27
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Statistical

LexisNexis overview
 Provides content-enabled workflow solutions designed specifically for
professionals in legal, risk management, corporate governance, law
enforcement and academia
 Provides customers with access to billions of searchable documents and
records from 45,000+ legal, news and business sources
 Helps professionals verify identity, prevent fraud, comply with legislation,
facilitate and secure commerce, conduct background screening and support
law enforcement and homeland security initiatives
 End market: Legal, risk management, corporate, government, law,
accounting, academics
 Serves customers in 100+ countries
 Employees: 15,000+ worldwide
 Founded in 1973
 Headquartered in NY, US
 Has operations in UK, Canada, Africa, Australia, New Zealand and
Latin America
Management
Mike Walsh CEO, Legal &
Professional Global
Home Depot, Weil, Gotshal and
Manges, Infirmation.com
James Peck CEO, Risk Solutions Celera Genomics
Shawn Clark CEO, Asia N/A
Phil Livingston CEO, Marketing &
Business Solutions
World Wrestling Entertainment,
Catalina Marketing, Financial
Executives International
Rick Trainor CEO, Business Services Seisint, Diveo Broadband Networks
 Analytics: Allows carriers to maximize the value of customer base
by revealing unseen information patterns and quickly evaluating the
effectiveness of customer strategies
 Claims & Fraud Management: Improves claims outcomes by
reducing cycle time using the comprehensive, data-driven claims
solutions in the industry
 Data Solutions: Improves value of customer base and
increases profitability
 Protects against money-laundering, fraud and non-compliance
 Provides information and tools to efficiently manage regulatory
changes, policies, training and compliance matters
 Helps hospitals and health systems to reduce rejected claims,
prevent fraud, support compliance efforts and reduce the cost-to-
collect
Insurance
Financial
Services
Healthcare
 Helps retailers identify fraud and increase efficiencies in the manual
order review process
RetailKey customers
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Machine data
Location/events
Statistical

Jonathan Gosier Founder & Director, Product SwiftRiver, Appfrica
Matthew Griffiths Founder & Director, Platform Appfrica, SwiftRiver
Christopher Burrage Director, Business Development Deloitte Consulting
Rich Schumacher VP, Engineering Digg
MetaLayer overview
 Provides creative data analysis and visualization products to help
organizations interpret complex issues and enable better decision making
 Visualizing real-time emotion (sentiment) of people todistress e.g.
during Hurricane Irene
 Analyzing social media channels to monitor health trends in online
discussions
 Helps to make information easy to use, visualize and share
 Offers products that enable the drag and drop creation of infographics and
data mashups
 Adds layers of context to collections and streams of information to help make
it easier to organize
 Founded in 2011
 Headquartered in Philadelphia, PA
Business overview
Management
Solutions overview
Source: Company information, Capital IQ, Factset, Crunchbase
Investors
 Data Discovery platform: Allows journalists, project sponsors and the
general public to explore the answers to over three million questions
submitted by users from 40+ countries
 Social Media Monitoring platform: Allows current trends to be surfaced
 TED Globe: Interactive, geo-located 3D visualization to support its stand at
TED 2012
 Multilingual Social Engagement Platform: Designed to drive community
involvement through social engagement
Recent news
 Oct 2, 2012: Launched The Human Face of Big Data, an app that maps
personal beliefs and attitudes across the world
 Mar 2, 2012: Launched community to make better infographics
Key competitors
29
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Statistical

Metamarkets overview
 Data “Science” as a service provider
 Cloud-based solution that delivers powerful data analytics dashboards to
business users and accelerates their discovery efforts
 Optimized to run beautifully on popular mobile devices such as the iPhone
and iPad
 Always available without requiring downtime to load and process new data
 Founded in 2010
Business overview
Management
Products overview
Source: Company information, Capital IQ, Factiva, Crunchbase
Customers
Druid
 SaaS offering that enables ongoing analysis of streaming
big data
 First open source, distributed, analytical data store
designed to scale horizontally
 Supports arbitrary Boolean filters, time series roll-ups,
aggregation functions and regular expression searches
Metamarkets
platform
 Provides :
 Real-time reporting
 Filtering and drill-downs by audience, context and
advertiser attributes
 Comparison to relevant market benchmarks
 Integration with advertising servers and order systems
 Built on a big data stack for processing, querying and
visualizing high volume, high frequency event streams
Name Designation Past experience/Current affiliation
Michael Driscoll CEO CustomInk.com, Dataspora
Roger Ehrenberg Board member IA Ventures
Jeff Epstein Board member Oak Hill Capital Partners
Last round: Series B (April 2012), $15.0mm
Investors
30
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Machine data
Location/events
Statistical

Management
Alexander C. Karp CEO RoboteX
Nathan Dale Gettings CTO RoboteX
Joseph Lonsdale Executive Vice President Addepar
Bob McGrew Engineering Director N/A
Shyam Sankar Director-Global Business N/A
Board of Directors
Peter A. Thiel Chairman Founders Fund Management,
Facebook
Stephen Cohen Director TraceSecurity
Palantir overview
 Designs and delivers platforms for integrating, visualizing and analyzing
information
 Connects data, technologies, humans and environments
 Supports many kinds of data including structured, unstructured, relational,
temporal and geospatial
 Builds products for real analysis with a focus on security, scalability, ease of
use and collaboration
 Key competitors: Raytheon, Lockheed Martin, Northrop Grumman and IBM
 Key investors: Founders Fund, Glynn Capital Management, In-Q-Tel, Reed
Elsevier Ventures
 Markets include Governments, Intelligence, Law Enforcement, Capital
markets, Anti-Fraud, Commercial, Insurance Analytics, Healthcare
 Funding to date: $301mm
 Founded in 2004; Headquartered in Palo Alto, CA
Business overview
Management
Customers
Solutions overview
Source: Company information, Factiva, 451 group, Capital IQ
Fraud
Detection
 Detects and eliminates criminal activities
Cyber
 Understands network activity, limits exposure and provides
securities against cyber threats
Defence
 Synchronizes multi-INT data for analysis
Accountability
 Leverages data to prevent rogue activity, ensure
compliance with complex regulations and monitor
system risk
Capital Markets
 Interacts with unified data in customized environment to
conduct more in-depth analysis and to discover more
valuable insights
Intelligence
 Provides efficient and secure way to exploit and analyze
data to drive better operational planning and strategic
decision making
Pharma
 Accelerates biomedical research by integrating disparate
data and building detailed visualization
Recent news
 May 16, 2012: Raised $56mm in funding commitments, bringing its total fund
raising to date to $301mm
 Sep 8, 2011: Raised $68mm in a private offering of equity and warrants
 Aug 4, 2011: Won a $752,082 federal contract from the General Services
Administration's Federal Acquisition Service for Palantir’s Cloud software
license
31
Social
Market places
Machine data
Location/events
Statistical

Carl Palmstierna Chairman of
the Board
ABG Sundal Collier, Momail, MyFc, Qbrick,
Viewserve, AlltforForaldrar, Elekta
Emmeli Höglund CFO Tragard & Falkenborn, Institute
of Technology
Willem De Geer MD Brunswick Direct, KMOC
Panopticon overview
 Provides visual data monitoring and analysis software tools for monitoring
and analysis of real-time data
 Operates as a subsidiary of Edenmore Investments
 Offers solutions for risk analysis, trade analysis, compliance monitoring, fraud
detection, client profitability analysis, data latency monitoring and portfolio
performance and attribution applications
 End markets: Capital markets, telecommunication, energy, utility companies,
corporate and government entities
 Founded in 1999
 Headquartered in Stockholm, Sweden
 Has additional offices in NY, SF, New Delhi
Business overview
Management
Investors
Solutions overview
Key customers
 Allows administrators to add new connectors for new data sources
with minimal coding
 Helps to connect to real-time message-oriented middleware
 Enterprise Deployment: Allows business users to design and
publish sophisticated real-time dashboards in minutes
 Embed Panopticon: Offers range of features that make it easier to
build, publish and embed comprehensive dashboards into
applications
 QlikView Integration: Leverages the latest advances in computing
power to consolidate large, disparate data sets in memory and
present data to users in a fluid interface within seconds
DeploymentOptions
Data
Connector
DataVisualizations
 Supports fast, efficient visual analysis of real-time and historical
time series data as well as very large data sets stored in standard
relational databases
 Helps user to see multi-leveled hierarchies, interconnections and
details on individual objects in order to solve problems, understand
complex relationships or identify areas of concern
 Various data visualization tools include: Tree maps, heat maps, bar
graphs, dot plots, pie charts, tables, etc.
32
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Management
Ben Werther Founder & CEO Greenplum
Peter Schlampp VP, Product & Marketing Solera, IronPort Systems, Cisco
John Schuster VP, Engineering SnapLogic, Cisco, IronPort
John Eshleman VP, Technology Greenplum
Board of Directors
Scott Weiss Board member Andreessen Horowitz
Mike Speiser Board member Sutter Hill Ventures
Platfora overview
 Transforms Apache Hadoop from a batch engine into interactive exploratory
BI and analytics platform designed for business analysts
 Encourages business users to discover data and build visualizations using
that data
 Contains a framework for future predictive analytics operations on datasets
 Makes it easy to predict future events with accuracy and precision
 Develops data management software based on Hadoop
 Founded in 2011
 Headquartered in Palo Alto, CA
Business overview
Management
Investors
Products overview
Recent news
Last round: Series B (November 2011), $20.0mm
 Platfora Lenses: Compressed-columnar representation of the
underlying data, organized and aggregated for high performance
 Automatically transforms massive datasets into highly
responsive lenses
 Makes access to big data fast and scales-out to terabytes of
in-memory data
 Allows analysts to drill details or dimensions only available in raw
data without the IT friction and complexity of traditional solutions
 Built on HTML5 accessible from anywhere
Unbounded
ExploratoryBI
In-MemoryLenses
HadoopData
Refinery
 Synthesizes specialized MapReduce jobs that automatically extract
details, perform calculations and downstream analysis, building
lenses efficiently and on demand
 Allows to read raw data in Handoop
 Nov 13, 2012: Raised a $20mm Series B round from Battery Ventures along
with Andreessen Horowitz and Sutter Hill Ventures
 Nov 2, 2011: Raised $5.7mm in Series A funding from Andreessen Horowitz
and In-Q-Tel
33
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Machine data
Location/events
Statistical

Quentin Gallivan Chairman & CEO Aster Data, Pivot Link, Postini
Richard Daley Founder & Chief
Strategy Officer
IBM, AppSource, Keyola
Doug Johnson Chief Operating Officer
& Execuive VP
Fusion Systems, Discreet Logic,
THINQ Learning Solutions, Black
Duck Software
Pentaho overview
 Provides business analytics solutions for data access, integration, discovery,
analysis, visualization and mining applications
 Offers consulting, training, OEM support and technical support services
 Big data sales increased by 340% in 2Q 2012 over 1Q 2012
 Enables flexible deployment options (on-premise, cloud and mobile)
 End markets: Retail, supply chain, healthcare, education, financial,
government, telecommunication, consumer and business services
 Founded in 2004
 Headquartered in Orlando, FL
 Also has offices in CA and Europe
Business overview
Management
Investors
Products overview
 Point and Click Access: Provides a web-based interface for business
users to access any data for dashboards, interactive reporting,
visualization, analysis and predictive analytics
 Reporting: Offers self-service interactive reporting and high-volume,
highly-formatted enterprise reporting
 Data Discovery, Analysis and Visualization: Helps to explore and visualize
business data by multiple dimensions such as product, geography and
customer
 Data Integration: Delivers powerful data preparation capabilities including
extract, transform and load
 Centralized Management: Includes all of the management tools needed
to easily and efficiently develop, deploy and manage a business
analytics platform
 Predictive Analytics
 Allows import of third-party models using Predictive Modeling
Markup Language
 Allows storing and versioning of models using the Pentaho repository
 Provides the ideal solution for any data integration, business analytics or
big data project
 Broad Connectivity: Offers broad connectivity to a variety of diverse data
including all popular structured, unstructured and semi-structured data
sources
 Data Profiling and Data Quality: These capabilities help organizations to
 Identify data that fails to comply with business rules and standards
 De-duplicate and cleanse inconsistent and redundant data
 Validate, standardize and correct name, address, email and
telephone data
BusinessAnalyticsDataIntegration
Key customers
Last round: Series C4, $23.0mm
34
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Machine data
Location/events
Statistical

Last round: Series C, $10.0mm
Name Titles Affiliations/experience
Kevin Freedman CEO Google, Slide, eBay
Bob Goodson Co-Fonder & CRO Yelp.com, Midtown Doornail,
Tim Heath VP, Engineering Greenplum/EMC, Yahoo, Oracle
Quid overview
 Designs and develops decision making optimization solutions
 Focuses on data and information capturing and management
 Builds software product that augments human intelligence, transforming
complex global information into actionable insight that helps companies and
governments make more informed decisions
 Provides competitive advantage to users by helping them identify
acquisition targets, competitive threats and general shifts in the business
and technological landscape well before the researched companies
become public
 Founded in 2009
Business overview
Management
Investors
Products overview
 Provides Quid software licenses
 Offers in-person training
 Also offers training and support services
 Monitors changes and developments in technology
 Provides timeline animations and 3D visualizations
 Provides insights to inform the user about its product development,
acquisitions and investment decisions
 Delivers quick and low cost insights
 Performs thorough analysis about the insights
QuidSoftwareQuidEngagementKey customers
35
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Market places
Machine data
Location/events
Statistical

Amit Bendov CEO Panaya, ClickSoftware
Elad Israeli Co-Founder and CPO Ness Technologies, Anysoft
Eldad Farkash Co-Founder and CTO Gilon Systems
SiSense overview
Business overview
 Provides data analytics for business intelligence, reporting, dash
boarding, and analytics
 Product attributes include functionality, scalability, manageability,
flexibility, governance, collaboration and ease of use
 Provides enterprise –grade data analytics to both small and large
scale enterprises
 SiSense product has won many awards, including “Hot Product to
See at Dreamforce”, and “Must See at Hadoop World
 Competitive advantage in in-memory data analytics
 Customers across in 40 countries across multiple end markets
 Founded in Israel in 2004
 Headquartered in California, USA
Product – Prism : Big data solutions for small budgets
Management
Key customers
36
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Machine data
Location/events
Statistical
Investors
Recent news
 Feb 2013: Sisense won the Audience Choice Awards at Strata 2013.
 Feb 2013: SiSense broke the 10x10x10 challenge crunching 10
terabytes of data with a $10k server in 10seconds.

Last round: Series B, $10.0mm
Christian Chabot CEO, Chairman &
Co-Founder
Softbank, BeeLine Software,
Cornerstone
Tom walker CFO N/A
Chris Stolte CDO, Director & Co-
founder
Stanford University, BeeLine
Systems
Pat Hanrahan Director & co founder Pixar, Stanford University
Tableau overview
 Business intelligence company providing analytics and data virtualization
software solutions
 Provides solutions for internet marketing, mapping, game design, business
dashboards, human resources, time series analysis, sales management,
supply chain management
 Global leader in rapid fire business intelligence software and world’s fastest
growing business intelligence, performance and analytics software vendor
based on year over year revenue growth of 113.5% in 20101
 Revenues 2011A: ~$62mm
 Has a customer base of 7,000+ organizations
 Key competitors: Actuate, Micro Strategy, SAS Institute, Tibco, Qlik
Technologies
 End markets: Banking, media, education, government, healthcare, high tech,
insurance, securities and investments ,manufacturing, oil and gas, real
estate, retail, science, and telecom
 Founded in 2003
 Headquartered in Seattle, WA
Business overview
Management
1 Market Share Analysis: Business Intelligence, Analytics and Performance Mgmt., Worldwide, 2010
Investors
Products overview
 Helps in combining multiple views into dashboards, and highlights
and filters related information
 Connects directly to databases, cubes, data warehouses, files
and spreadsheets
 Business intelligence application that provides easy to learn and use
browser based analytics
 Provides mobile business intelligence to get data anywhere
 Provides high speed and helps in blending disparate data
 Helps in sharing interactive content on public websites
 Helps in customer engagement, embeds live visualizations and
requires no programming of any kind
 Supports the academic community to teach skills around data
analysis, informatics and data visualization
 Free service that allows one to create and share data visualizations
on the web
 Requires no programming language, no plug ins, no flash and
connects to several data sources
Tableau
Desktop
Tableau
Server
Tableau
Digital
Tableau
Public
Recent news
 Oct 25, 2012: Partnered with Next Bridge to bring visual analytics to Norway
 Oct 24, 2012: Partnered With Cloudera To Run Real-time Big Data Queries
With Cloudera Impala
 Sep 05, 2012: Appointed Ren Jurgensen to Board of Directors
 Jul 02, 2012: Partnered with Bytes to simplify Business Analytics
Recent news
37
Social
Market places
Machine data
Location/events
Statistical

Visual.ly overview
 Owns and operates an online platform that enables to explore and share
web-based infographics and data visualizations
 Provides solutions for agencies, brands, organizations and businesses
 Has a community of 35,000+ designers
 Founded in 2011
Business overview
Management
Stew Langille CEO Mint.com, iKobo
Tal Siach Chief Marketing Officer Walyou
Adam Breckler VP, Product SaveBrite.com
Investors
Last round: Seed Round
Key customers
38
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Machine data
Location/events
Statistical

Machine data
Social
Market places
Statistical
39
71
65
61
52
44
39
11
Profiles

Olivier Pomel CEO N/A
Alexis Lê-Quôc President N/A
Amit Agarwal VP, Products N/A
Datadog overview
 Provides cloud-based services that bring metrics and events into one
convenient place by collecting performance data from systems, applications
and cloud providers
 Helps software developers and web ops understand their IT Data by putting it
all in context
 Services include
 Interactive dashboards: Collects performance data from customer servers,
applications and even cloud-based services
 Real-time events: Provides real-time alerts, source commits and
software builds
 Social DNA: Helps to share data
 Headquartered in NY, US
Business overview Products overview
Management
Investors
 Aggregates metrics and events across the full Dev/Ops stack for SaaS
and cloud providers
 Provides apps for automation, monitoring, instrumentation, source
control and bug tracking
Integration
 Builds real-time interactive dash boards which offer metrics and events
for manipulation and graphing
 Helps to see graphs across various sources in real-time
 Also helps to compute rates, ratios, averages or integrals
Dashboards
 Supports full-text structured search over all the event data integrated
 Helps to overlay metrics and events across disparate sources
Correlation
 Uses HTTP status codes to indicate the success or failure of a request
 Captures events and metrics from applications using Datadog’s
client libraries
 Tags servers or query Datadog in command-line
 Generates and uploads JSON-formatted dashboards
API
Key customers
 Notifies performance problems
 Provides alert notification via e-mail and PagerDuty
Metric
Alerts
40
Social
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Machine data
Location/events
Statistical

Charlie Oppenheimer CEO & Chief Enthusiasm
Officer
Apple, Digital Fountain, Aptiva
Jonathan Gifford Founder and Chief Search
Officer
N/A
Jim Nisbet Chief Technology Officer &
VP, Engineering
DataTools, Tablus
Loggly overview
 Provides a log management and data analytics platform for developers and
operation engineers
 Provides log aggregation, storage, search, alerting and reporting in a SaaS
model for companies who maintain web based applications
 Enables users to monitor, debug and troubleshoot their IT infrastructure,
applications and business processes
 100% cloud-based log management service which in turn eliminates the
need for any hardware or software
 Has 2500+ customers
 Founded in 2009
Business overview Services overview
Management
Investors
 Provides deployment, performance and application monitoring
 Helps system engineers to monitor application vulnerability, report risks
to SLAs and measure network performance impacts from SQL hacking
 Provides root cause analysis, which improves overall
application availability
Application
Debugging
 Makes troubleshooting easy with a powerful search-based query
language and simple to use browser-based interface
 Investigates and resolves issues quickly by searching across multiple
deployments and narrowing down on specific issues
Deployment
Monitoring
 Provides Alert Birds which help to eliminate problems before they start by
allowing user to monitor for specific events and errors
 Alert Birds uses Loggly’s powerful RESTful APIs which are available to
create custom application
Alertingand
Troubleshooting
 APIs and oAuth support enables developers to build custom applications
using valuable log data
 Helps to build dashboards and innovative visualizations
 RESTFUL APIs allow users to build custom applications to visualize and
graph their log data and turn it into actions for relevant business
decisions across the entire organizationAPI
Key customers
41
Social
Market places
Machine data
Location/events
Statistical

Splunk overview
 Provides real-time operational intelligence
 Collects, indexes and harnesses machine data generated by physical, virtual
or in the cloud IT infrastructure
 Enables network engineers, system administrators, security and compliance
analysts, developers, customer support and help desk staff to understand
their IT infrastructures
 Revenues of ~45mm as of Jul 31, 2012
 Has 4,400 customers in 80+ countries
 Key competitors: Adobe, Blackstratus, BMC Software, EMC, Google,
Microsoft, Oracle, Sap, Sensage
 End markets: Government, online services, education, financial services,
healthcare, retail, telecommunication
 Employees: 600+
 Founded in 2005
 Headquarters: San Francisco, CA
Business overview Product overview
Management
Name Position Prior experience
Godfrey Sullivan Chairman & CEO Hyperion, Citrix
David Conte CFO IronKey, Opsware
Erik Swan CTO & Co-Founder CommerceFlow, Disney Internet Group
Security
 Resolves problems faster and reduces downtime
 Helps to gain end-to-end operational visibility
 Delivers new insights from machine data to help the business make
better decisions
Application
Management
 Collects and indexes all the data generated by IT infrastructures such
as networks, server and guest OS, hypervisors, database audit trails
and message queues
 Correlates events across all layers of infrastructure
ITOperations
Management
 Turns machine generated Big Data into real- time insights
 Splunk Hadoop Connect: Deploys Splunk Enterprise quickly for real-
time collection, indexing, analysis and visualizations and then
forwards events to Hadoop for long-term archiving and additional
batch analytics
BigData
Analytics
 Harnesses machine data generated by cloud applications such as
logs, events and metrics to provide unique insights about application
performance to cloud customers
 Collects and indexes all the machine data generated by cloud or
managed service infrastructure such as networks, server and guest
OS, hypervisors, database audit trails and message queues
CloudSolutions  Investigates security incidents in record time by searching and
analyzing all security-relevant data from one place
 Improves security by quickly filtering out false positives and visualize
security information for situational awareness
Key customers
Source: Company website, Fillings, Capital IQ
42
Social
Market places
Machine data
Location/events
Statistical

Vance Loiselle President & CEO BladeLogic, Breakaway
Solutions, Eggrock Partners
Christian Beedgen Co-Founder & CTO ArcSight, Gigaton
Kumar Saurabh Co-Founder & VP,
Analytics
Mint, ArcSight
Last round: Series B, $15.0mm
Sumo Logic overview
 Log management and analytics company that leverages Big Data for
real-time IT insights
 Provides cloud-based service with real-time interactive analytics at
petabyte scale
 Also provides application management, IT operation and security &
compliance solutions
 Offers solutions to deliver search results from terabytes of log data
and to detect trends and changes in system, application, user and
network behaviors
 Company competes directly with Splunk which recently completed its IPO
 Employees: ~30
 Founded in 2010
 Headquartered in Mountain View, CA
Investors
Management
 Ensures that critical production applications and online properties
achieve and maintain optimal performance and uptime
 Delivers application analytics to help enterprises better
understand how distributed applications behave under constantly
changing conditions
 Generates immediate insights that reveal how users respond to new
application features and capabilities
 Actively monitors application performance
 Enables development operation teams to identify changing behavior
of applications between releases
 Collects, indexes, searches and analyzes all log data with near zero
latency and diagnoses problems with high speed and accuracy
 Analyzes data and proactively notifies users operations team about
anomalous conditions before they impact users business
 Helps organizations to separate critical events from noise
 Uncovers activity from log data like:
 Policy violations such as accessing remote systems over SSH
 Data leakage such as emailing confidential documents
 Insider abuse such as low and slow attempts to gain access to
sensitive systems
ApplicationsLog
Management
IT
Operations
LogDataSecurity
+Compliance
Key customers
43
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Machine data
Location/events
Statistical

Machine data
Social
Market places
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44
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52
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Profiles

Bime overview
 Provides cloud-based business intelligence solution
 Provides a dashboard that can read data from multiple sources such as
Google BigQuery, Google Analytics, Google spreadsheets, Salesforce, SQL
databases, Facebook, Excel spreadsheets, Amazon DB, SAP HANA and
XML webservices
 Key features include
 Advanced visualizations
 High-Interactivity Dashboards
 Advanced cross-platform and cross-rendering charting frameworks
 Fast, distributed and parallel column-store in-memory engine
 On-demand data warehouse
 Available in 3 versions
 Enterprise: starts at $180 per month
 Premium: starts at $360 per month
 Big Data: starts at $720 per month
 Headquartered in Montpellier, France
Business overview Partners
Recent news
 Jun 01, 2012: Announced a partnership with China Mobile to provide SaaS
business intelligence solutions to Chinese enterprises and government
agencies
 Sep 15, 2011: Announced the launch of version 3.0 for its BI service.
Updates to the solution include the addition of QueryBlender, a feature
designed to help SMEs mine big data more effectively
Academicand
institutional
partners
Technology
Partners
Business
PartnersCustomers
45
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Market places
Machine data
Location/events
Statistical

Management
Raj De Datta Co-Founder and CEO Cisco, FirstMark / LambdaNet
Ashutosh Garg Co-Founder and CTO Google, IBM
Stewart Ellis Head of Finance 23andMe, eBay,
Board of Directors
Ajay Agarwal Director Bain Capital Ventures, Trilogy Software
Peter Nieh Director Lightspeed, General Magic
Scott Sandell Director New Enterprise Associates, Microsoft,
C-ATS Software
Bloomreach overview
 Provides a cloud marketing platform for online businesses
 Provides online retailers and commerce sites with an automated solution to
help promote better discovery of their content and merchandise by consumer
 Created the Web Relevance Engine (WRE), which analyzes one billion
consumers
 Founded in 2009
 Headquartered in Mountain View, CA
Business overview Solutions
 Relevant content gets discovered via natural search
driving traffic and revenue
 Brings web-wide understanding, deep site
interpretation and continuous user observation to
adapt the site by connecting relevant pages and
content to each other
 Sees which customers have responded to previous
promotions
 Brings web-wide understanding, deep site
interpretation and continuous user observation to
simultaneously route paid search visitor to the best
page and adapts that page to highlight the most
relevant products for that consumer
BloomSearch
BloomLift
Management
Investors
Recent news
 Oct 18, 2012: Raised $25.0mm of Series C funding from a consortium of
investors led by US-based New Enterprise Associates
 Apr 24, 2012: Announced its expansion into India with the official launch of a
research and development center in Bangalore, India
Customers
46
Social
Market places
Machine data
Location/events
Statistical

Custora overview
 Provides marketing actions for segment customers, lifecycle marketing and
marketing strategies
 Offers SaaS that tells online retailers and web applications which of their
customers are most valuable and suggests actions to keep them
 Also manages and optimizes email campaigns to keep
customers engaged
 Up to 5,000customers: $49 per month
 5,000–30,000 customers: $149 per month
 Founded in 2010
 Headquartered in Brooklyn, NY
 Customer lifetime value
 Behavioral segmentation
 Cohort analysis
 Historical dashboards
 How to calculate clv
 Retention opportunities
 Automated lifecycle marketing
Customer
analytics
Lifecycle
marketing
Management
Jon Pospischil Co-Founder N/A
Corey Pierson Co-Founder N/A
Investors
Recent news
 Sep 12, 2012: Announced launch of version 3.0 that enables retailers to
deliver targeted, relevant messages to each customer
 Jan 09, 2012: Raised $0.85mm of funding from a group of investors
Customers
47
Social
Market places
Machine data
Location/events
Statistical

Management
Roman Stanek Founder and CEO NetBeans and Systinet
Stephane Panier CFO Bebo, Google
Michael Gear Sr. VP, Field Operations Webtrends, Akamai
Board of Directors
John O’Farrell Director Andreessen Horowitz
Larry Bohn Director General Catalyst Partners
James Gellert Director Windcrest Partners
Dave Girouard Director Google Enterprise
Brian Paul Director Tenaya Capital
GoodData overview
 Provides a business intelligence platform-as-a-service that enables
companies to collaborate around the data
 Offers dashboards to analyze and interpret data from cloud applications, the
web, social media, mobile devices and legacy systems at the same time
 Employs ~200 people
 Founded in 2007
Management
Recent news
 Nov 12, 2012: Announced partnership with ACR Analytics, an expert in
advanced web analytics to provide customers with additional insights into
their sales and marketing data
 Oct 29, 2012: Announced 3Q12 results. Monthly recurring revenue increased
by 284% in the last 12 months and quarterly bookings tripled Y-o-Y
 Jul 17, 2012: Announced a strategic partnership for the AsiaPacific region
with exclusive GoodData distributor for Australia, New Zealand and
Singapore
Customers
Investors
GoodSubscription
Bash
 Allows companies to measure their valuable assets by
tracking and reacting to shifts in customer
engagement and satisfaction
 Enables marketing leaders to measure marketing’s
contribution and ROI
 Provides sales leaders with relevant insight into all of
the sales activity as the quarter progresses
Goodmarketing
Bash
GoodSales Bash
48
Social
Market places
Machine data
Location/events
Statistical

Management
Paul O’Leary Founder and CEO Kana Software
Peter O’Leary VP Products and
Services
Lotus Development, Symantec Corp and
Smith Micro Software
Marty Shepard VP Sales and
Marketing
Teradata, Vcommerce and Protagona
Worldwide
Board of Directors
Dave Robbins Chairman BigFix, Quippe Technologies and Lucidity
Vincent Worms Director Partech International, Business Objects
and Informatica
Skip Glass Director URoam, Kiva, Illustra and Sybase
Quantivo overview
 Provides on-demand big-data analytics solutions and pattern-based
strategies to various businesses within a cloud infrastructure
 Offers behavior analytics, marketing optimization, Web analytics and
managed service solutions
 Owns 5 US patents
 Key partners include: Amazon, Blast Advanced Media, Logan Tod, RAPP,
Keystone Solutions, ACR Analytics, Semphonic, SMCpros, BitBang and
eClerx
 Founded in 2003
 Headquartered in Emeryville, CA
Management
Recent news
 Sep 11, 2012: Announced that eClerx joined the Quantivo Partner Program
 Jun 02, 2012: Announced that ASOS has selected Quantivo’s behavioral-
analytics technology to analyze data from online-shopping
Customers
Investors
WebAnalytics
 Integrate online and offline behavior for a 360° view of customers
 Respond to website activity as it happens
 Uncover the link between the user experience and user behavior
 Customer segmentation
 Loyalty analytics
 CRM analytics
 Purchase analytics
 See which customers have responded to previous promotions
 Identify promotional campaigns that have done a great job
 Make the shift to a highly personalized, one-on-one marketing
relationship
Behavior
Analytics
Marketing
Optimization
49
Social
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Machine data
Location/events
Statistical

RJ Metrics overview
 Provides software to help online businesses measure, manage and
monetize better
 Serves e-commerce, software-as-a-service, social media and online content
industries, as well as business operators, nonprofits, investors and
consulting firms
 Starter: 100.00 rows for $500 per month
 Premium: 1mm rows for $1,000 per month
 Plus: 20mm rows for $2,000 per month
 Enterprise: 20mm+ rows, as per contract
 Founded in 2008
 Headquartered in Philadelphia, PA
Management
Robert J. Moore Co-Founder, CEO Guest columns for TechCrunch
Jake Stein Co-Founder,COO N/A
Chris Merrick Director of Product N/A
Bill Piel Director of Technology N/A
Investors
Last round: Seed Capital, $1.2mm
Recent news
 Jan 04, 2012: Raised $1.2mm of seed funding and has signed a new lease
that doubles its space to 4,000 sq. ft. Also announced that it intends to
double its 13-person staff this year
Customers
 Repeat Purchase Probability
 Cohort Analysis
 Marketing Analytics
 Magento Analytics
 Online Dashboard
 Magento Reports
Analytics
 Business Intelligence
 Business Analytics
 Business Reporting
 Business Management Software
 Performance Metrics
 Data Analysis Tool
 Data Warehouse
 ETL
 Data Integration
 Data Mining
 SQL Reporting
 Database Reporting
For
Business
Data
Management
50
Social
Market places
Machine data
Location/events
Statistical

SumAll overview
 Provides data analytics applications for e-commerce store owners
 ~15,188 users and ~7.8bn visitors
 Basic features include
 Weekly performance emails
 Top product comparisons
 Customer comparisons
 Tailored Insights
 Contextual Notes
 Unlimited Data Imports
 Key management: Dane Atkinson (CEO)
 Founded in 2011
 Headquartered in New York, NY
Business overview Recent news
Investors
 Nov 20, 2012: Raised $6mm of funding from Battery Ventures with the
participation of Wellington Partners
 Nov 09, 2012: Announced the addition of Instagram data to SumAll Social
Metrics, an analytics tool that links a company’s social activity against web
traffic and revenue, revealing the return on social marketing
 Oct 10, 2012: Announced partnership with online payments company Stripe
through Stripe Connect to enable users to incorporate their Stripe transaction
information along with data from Google Analytics, Facebook, Shopify and
other sources
Customers
Key partners
51
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Machine data
Location/events
Statistical

Machine data
Social
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Statistical
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Profiles

Management
Peter Stern CEO Zenbe, Datek Online
Todd Levy CTO N/A
Hilary Mason Chief Scientist HackNY
Andrew Cohen General Manager N/A
Tim Devane Director, Business Dev & Sales N/A
Peter Miron VP, Engineering Datek Online, Vonage
Bitly overview
 Helps users to collect, organize, shorten and share links and domain names
on the Web
 Powers more than 10,000 custom short URLs
 Also offers an enterprise analytics service that lets Web publishers and
brands monitor the real-time aggregate traffic of shared content
 Receives > 8bn clicks per month and 80mm new links created every day
 Offers services via its Website, browser extensions, mobile Web and various
third-party tools integrated with its open public API
 Also integrated into several popular third-party tools such as Tweetdeck
 Founded in 2008
Management
Investors
Bitly
Composer
with Auto-
Branding
 Allows users to draft, approve and post updates to Twitter
and Facebook
 Auto-branding content via custom short links reveals how
content travels across the entire social web
 Also plugs into existing publishing tools
Recent news
 Nov 15, 2012: Announced partnership with DataSift that gives DataSift
access to all data Bitly collects from its URL shortening and collecting service
 Jul 10, 2012: Raised $15mm in a venture funding round led by Khosla
Ventures
Customers
Total capital raised $28.5mm
Last round Venture round (July 2012), $15.0mm
Social Media
Monitoring
Social
Insights
 Allows user to track social conversations around specific
keywords or search strings
 Sends email alerts on which content is accelerating in
popularity
 Supports all platforms including email, IM and mobile
 Allows users to track how content is performing across
social platforms, and across the entire Bitly universe
 Provides wide-angle view on which content links are
driving shares and clicks, across all social platforms
 Helps prioritize your social-content strategy to hit the right
editorial themes and platforms
53
Social
Market places
Machine data
Location/events
Statistical

Management
JP Maheu CEO Razorfish, Ogilvy & Mather
Deb Roy Co-Founder & Chairman N/A
Michael
Fleischman
Co-Founder, President & CTO N/A
Jeremy Rishel SVP Engineering, Products, & Data aPriori Technologies, i2
Board of Directors
Brian Bedol Co-Founder and Director Bedrock Venture Partners
Geoff Yang Director Redpoint Ventures
Frank Moss Co-Founder and Director MIT Media Lab
Rachel Lam Director Time Warner Investments
Last round Series B(January 2012), $12.0mm
Bluefin Labs overview
 A social TV analytics company that provides solutions to brand advertisers,
advertising agencies and TV networks and operators
 Applies language grounding techniques to achieve successful mapping of
social media commentary to mass media stimuli on TV, specifically TV shows
and commercials
 Data leveraged for media planning and buying, TV campaign optimization,
TV audience insights and TV ad sales
 Provides link between paid and earned media and enables clients to
measure and optimize for the amount of social media conversation driven by
TV campaigns
 Founded in 2008 and headquartered in Somerville, MA
Management
Investors
Signals
Network
Edition
 A Web-based social TV analytics platform that provides
data and insights for use in programming and audience
research, TV ad sales and network distribution
 Allows users to track engagement across social platforms
and segment by gender, lifestyle and brand affinities
 Helps optimize TV promo placements to drive the most
social buzz
 Clients include over 40 of the largest broadcast and cable
networks in the US
Signals Brand
Edition
 A platform that measures and analyzes the social media
performance of TV ad campaigns at scale
 Allows users to
 Measure TV campaign’s impact on brand
conversations and benchmark vs. competitors
 Track product integrations and determine which shows
and content offer the ideal environment for your brand
 Discover the Twitter and Facebook users exposed to
TV ads
Recent news
 Jul 25, 2012: Announced appointment of JP Maheu as CEO
 Apr 16, 2012: Launches Signals Brand Edition, a platform that measures and
analyzes the social media performance of TV ad campaigns at scale
Customers
54
Social
Market places
Machine data
Location/events
Statistical

Name Designation Past experience
Stephanie Newby CEO J.P. Morgan
Gary King Chief Scientist & Co-Founder Harvard University
Chris Bingham CTO & EVP Engineering Coalesix, Apple, Disney
Curt Bloom President smartFOCUS, Unica,
Kronos
Megan Costello SVP, Global Customer
Experience
CodeRyte, Advanse
International
Melyssa Plunkett-
Gomez
VP, Strategic Accounts newScale, Unica, KANA,
KPMG
Wayne St. Amand VP, Marketing ExaGrid Systems, Iron
Mountain
Aykut Firat VP, Research and Analytics IAggregate, Affinnova
Crimson Hexagon overview
 Provides social media monitoring and analysis software and services to
global brands, agencies and media firms
 Offers Crimson Hexagon ForSight platform that enables companies to gain
actionable insight into consumer opinion of their brand, product, or market by
tapping into the conversations taking place in online media
 Delivers a real-time view of how engaged online consumers think and feel
about a brand or issue
 Founded in 2007
 Headquartered in Cambridge, MA
Business overview Products and services overview
Key personnel
Investors
Last round: Series B (May 2011), $5.0mm
ForSight
platform
 Delivers social intelligence by identifying and analyzing
opinion from large quantities of text
 Taps into billions of current and past online
conversations to gain actionable insights into the
market’s opinion of brand and products
 Based upon quantitative analysis methods developed
at the Harvard University
 Offers a customizable, private dashboard
Recent news
 Oct 24, 2012: Announced partnership with social media marketing agency,
Pendorize, to enhance analysis and listening capabilities
 Aug 27, 2012: Announced that New Balance Sales team had selected
Crimson Hexagon’s ForSight platform to boost its analytics capabilities
Customers
55
Social
Market places
Machine data
Location/events
Statistical

Management
Ted Bailey Founder & CEO N/A
Jeff Kinsey Co-founder & CTO NA
Julian Pan Lead Data Scientist N/A
Mark Dimont Director of Business Development N/A
Matt Dowal Director of Sales, Finance N/A
Peter Bailey Director of Corporate Strategy N/A
Board of Directors
Stephen Dow Director Sevin Rosen Funds
Stephen Ross Director MIT, Ross, Jeffrey & Antle
Dataminr overview
 A real-time social media analytics company
 Offers a broad suite of modular desktop and API products that transform
social media streams into actionable signals
 Leverages Twitter and other social media data-sets as a global sensor
network for detecting emerging events and public trends
 Verticals served include both buy-side and sell-side financial firms, as well as
municipal and federal clients in the government sector
 Strategic partnership with Twitter
 Founded in 2009
Management
Investors
Last round Series B (September 2012), $13.0mm
Raw tweets
Relevant to financial
markets
Relevant
Now
400mm tweets
processed daily
in real-time
Proprietary filtering
and classification
Multivariable event
detection
 Identifies hotspots of activity across Twitter and uses real-time information to
generate signals that are early on the awareness curve and relevant to
financial markets
 Offers customized signal stream based on your portfolio, sectors of coverage
and macro topics of interest
 360 degree view of any topic in real-time
 Allows users to research historical signals for differentiated perspectives
 Provides seamless email delivery in alert or digest form
Recent news
 Apr 09, 2012: Announced partnership with Twitter and released its
technology for using Twitter's public Tweets to create actionable signals for
enterprise clients
56
Social
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Machine data
Location/events
Statistical

DataSift overview
 Helps organizations improve their understanding and use of social media
 Creates a platform to help companies manage social media and capitalize on
the insights to be found within the data
 Provides granular and modular ‘sifting’ functions from across a wide range of
social and web input feeds
 Provides sentiment analysis, storage and analytics to offer an unrivalled
service platform, which leverages the cloud and scales infinitely
 Employees: ~56
 Founded in 2007 and headquartered in Reading, UK
 Additional offices in San Francisco, CA
Business overview DataSift platform overview
Management
Pricing
 Lets users choose between pay-as-you-go
and subscription models
Infrastructure
 Architecture designed to handle large
volumes of real-time data and immense
numbers of sophisticated queries
 Regular response times of less than 200 ms
Twitter
Firehose
 Approved re-syndicator of Twitter data
 Allows users to create filters through API,
based on keywords, location, sentiment,
influence and other meta-data
Social Analytics
and Visualization
 Offers a suite of tools for extracting signals
from real-time data
 Partners with leading analytics and
visualization companies including Endeca
Recent news
 Nov 15, 2012: Announced partnership with Bitly that gives DataSift acces to
all of Bity’s data from its URL shortening and collecting service
 Nov 13, 2012: Raised $15mm from investors including Scale Venture
Partners to increase the number of analytics tools it offers customers
Rob Bailey CEO Yahoo, SoftTech VC, SimpleGeo
Todd Levy Founder & CTO NA
Steven Pease CFO pets.com,
Tim Barker Chief Product Officer Salesforce, Koral
Pier Barattolo VP, Sales Adaytum, Cognos, Business Objects
Stewart Townsend Head, Business Dev. Business Objects, Cognos
Ming Wu Director of Client
Solutions
BMC Software, Right90
Investors
Last round Series B (November 2012), $15.0mm
Partners
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Machine data
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Statistical

Doug Camplejohn CEO & Founder Mi5 Networks, Myplay, Vontu,
E.piphany, Apple
VP of Operations VP of Operations N/A
Dan Chiao VP of Engineering N/A
Fliptop overview
 Provides social intelligence, connecting email and social identities
 Offers solutions for users to track new signups, click across various
subscription channels, add social profiles with an email or social network ID
and track posts, tweets and email campaigns, as well as measure reach,
engagement and conversion
 Founded in 2009
Management
Social Profiles
 Connects the dots between email addresses you have
for leads and contacts and their social media accounts
BrandGraph
 Helps to quickly and automatically find all the social
pages associated with a brand
PeopleGraph
 Transforms a humble email address or social ID into a
complete digital identity for each of your contacts
Recent news
 Oct 20, 2012: Announced Fliptop social profiles integration with Oracle sales
and marketing cloud service, which automatically displays Twitter, Facebook
and LinkedIn profiles for contacts in Oracle sales and marketing cloud
service and makes it easy to connect with them
 Sep 25, 2012: Announced release of Fliptop social profiles for Salesforce,
which automatically adds Twitter, Facebook and LinkedIn profiles to a
salesperson's leads and contacts
Investors
Last round: Seed, $2.4mm
58
Social
Market places
Machine data
Location/events
Statistical

General Sentiment overview
 A social media monitoring and analytics company that delivers insights to
help companies make better product and marketing decisions
 Produces research products for marketing, sales and communications
executives to evaluate their brands’ performance and assess return
on investment
 Monitors and interprets online conversations, discovering actionable social
insights for its clients
 Based upon large-scale natural language processing and text analytics
developed through seven years of university research
 Founded in 2008 and headquartered in Jericho, NY
Key personnel
Media
Measurement
Dashboard
 Uses innovative tools to present a big-picture, real-time
snapshot of public opinion about brands or people
important to businesses
Custom
Reporting
 Provides custom reports that detail a number of metrics
that analyze what people are saying and where
discussion takes place
Syndicated
Reporting
 Subscriptions to syndicated industry reports, which
include prime-time television reports, the Top 20 Global
Brands series, Fast Food and Casual Dining Industry
Reports and the Hollywood Buzz Digest
API
 Allows companies to use General Sentiment’s media
measurement indicators in a way that can be
customized and integrated into businesses
Pete Moran CEO NA
Mark Fasciano Chairman Karma411, Fatwire
Steven Skiena Chief Science Officer Stony Brook University
How General Sentiment works
Recent news
 Sep 19, 2012: Announced the appointment of Pete Moran as CEO
SENTIMENT
ANALYSIS
DASHBOARD
TOOLS
ACTION
Many news and social media publishers
create new content everyday
Sentence by sentence, General Sentiment detects the
sentiment in each document related to a topic…
…giving you real-time, actionable information in our
Executive Sentiment Dashboard and customized
reports.
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Social
Market places
Machine data
Location/events
Statistical

Jud Valeski CEO IBM, Netscape, onebox.com, AOL
Chris Moody President & COO Aquent, IBM, Oracle, and EDS
Rob Johnson VP, Product Strategy N/A
Greg Greenstreet VP, Engineering N/A
Gnip overview
 Provides public social media data for enterprise applications
 Offers format normalization, URL expansion, Klout scores, language
detection and filtering, phrase and keyword filters, geo filters and
user filters
 Data sources include Facebook, Twitter, Google+, Tumblr, Disqus,
WordPress, YouTube, etc.
 Delivers more than 100bn realtime social data activities per month
 Also provides plug-and-play streams, duplicate exclusion, optimized polling
and choice of protocols
 Key verticals: Social media monitoring and marketing, finance and
government
 Employees: ~30
 Founded in 2008 and headquartered in Boulder, CO
Management
Customers
Premium
Twitter
Streams
 Access to the full firehose of Twitter data
 Allows users to create filters for the tweets they want or
to get a sampling of the entire firehose
 Pricing depends on data volume and number of rules
Additional
Premium
Streams
 Provides access to firehose streams of data from major
blogs, comments, stock markets and news sources
 Pricing depends on the sources
Enterprise Data
Collector
 Gives easy access to realtime social media data
streams from dozens of sources such as social
networks, video and photo sites, blogs and forums
 Up to six streams for one fixed price
Investors
Last round Venture round(November 2010), $2.0mm
Recent news
 Nov 13, 2012: Announced partnership with Japanese social media
monitoring company, Hottolink to better serve Twitter data to the
Japanese market
 Sep 19, 2012: Launched Historical PowerTrack for Twitter which makes
available every public Tweet since the launch of Twitter
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Statistical
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Profiles

DataKind overview
 Brings together data scientists with social organizations through a
comprehensive, collaborative approach that leads to shared insights
 Community of data scientists
 Formerly known as Data Without Borders
Business overview
Management
Jake Porway Founder and Executive Director N/A
Craig Barowsky Co-founder and Director
of Operations
Oddcast
Drew Conway Co-founder N/A
Shannon Ferguson Social Media & Communications Kickstarter
Solutions overview
 Weekend events that team three selected social organizations that
have well-defined data problems with volunteer data scientists to
tackle their data challenges
 Completely free and voluntary
 Select group of data scientists who work on volunteer or contract data
projects part-time
 Members work for one to six months on targeted data projects that
they plan with the organizations that apply
 Volunteers are paid by the organization or are housed within private
companies who take on the projects
DataDivesDataCorps
 Full-time staff of data scientists that take on pressing and high-impact
problems for a variable length of time
 Paid directly for their services by the organizations involved
In-House
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Machine data
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Statistical

Management
Anthony Goldbloom CEO Reserve Bank of Australia
Jeremy Howard President & Chief Scientist NA
Jeff Moser CTO NA
Board of Directors
Max Levchin Chairman PayPal, Slide
Neil Rimer Director Index Ventures
Kaggle overview
 Provides a platform for big data predictive and analytics competitions
 Creates a platform that provides statistical/analytics outsourcing solutions,
which allows organizations to post their big data problems and have it
scrutinized/solved by the data scientists
 >40,000 data scientists worldwide, from fields such as computer science,
statistics, economics and mathematics
 Also runs private, invitation-only competitions with data subject to
non-disclosure agreements
 Serves companies, governments and researchers in the US
and internationally
 Founded in 2010
Management
Customers
Kaggle
Prospect
 An open data exploration and problem identification
platform
 Allows organizations with large datasets to solicit
proposals from the 40,000 strong community of
predictive modeling and machine learning experts
Kaggle
Recruit
 Allows organizations to recruit data scientists from an
objectively ranked talent pool in the world by using
competitions to filter talent
 Pricing has two components
 Fee for building and hosting the competition
 Contingent fee per hire
Kaggle
in-Class
 A free learning tool to assist universities in educating
budding data scientists
 Used by professors around the world to create
challenges for their students
 Competitions can be restricted by class, or left open to
allow students to benchmark themselves
Kaggle
Engine
 Helps implement the winning model(s) from user’s
competitions
 Offers integration into existing systems via an industry-
standard webservice interface (API)
Investors
Last round: Series A (November 2011), $11.0mm
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Social
Market places
Machine data
Location/events
Statistical

Management
Vladimir Bougay Co-founder & CTO NA
Pongopi Prakash Tech Lead NA
Balaji Subbaraman Head, Bangalore team NA
Mikhail Anikeev Senior Developer NA
Knoema overview
 A knowledge platform that connects data with analytical and
presentation tools
 Offers users with a single, uniformed platform for users to access, present
and share data-driven content
 Visualizations can be either publicly accessible, or in the case of corporate
costumers, may remain private
 Provides access to more than 500 public data sets
 Employees: ~15
 Founded in 2011
 Headquartered in Washington, DC
 Additional offices in Bangalore, India and Perm, Russia
Management
Dataset
Browser
 Helps users explore the extensive collection of datasets
 1369 datasets; 46,160,000 time series; 643,000,000 data
points available
 Browse through datasets by topic, source, name or
publication date
Dashboard
Gallery
 Collection of dashboards and presentations prepared and
shared by users
 Dashboards span across many topics and issues, including
interactive visualizations and presentations
Recent news
 Jul 31, 2012: Announced the launch of World Data Atlas, a new tool providing
basic statistics about the world and its countries
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Statistical

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Bryan Mistele President & CEO Bipartisan Policy Center’s National
Transportation Policy Project
Jeff deCillia CFO PivotLink, Captaris
Alex Meyer Senior VP, Operations Terabeam, AT&T Wireless
Kush Parikh Senior VP, Business Development Texas Instruments, IBM
Inrix overview
 Provides real-time traffic information and connected driving services in the
car, online and on-mobile devices worldwide
 Offers traffic information services, such as congestion alerts, journalistic
incident data, traffic maps and traffic cameras
 Also provides directions and driver services, including routing, road weather
conditions , weather forecasts, and other driver services
 Serves 200+ customers and partners worldwide
 Supplies traffic information which covers ~1mm miles of road in North
America and ~1mm kilometers of road in 28 European countries
 Founded in 2004
 Headquartered in Kirkland, WA
 Has additional offices in UK, Germany
Management
Investors
Key customers
Last round: Series D, $37.0mm
 Provides customers with the best traffic information, fastest routes
and most accurate travel journey times
 Offers a single commercial and technical interface, one data format
and a single set of homogeneous services across Europe and NA
 Helps customers integrate accurate traffic info and travel times into
their products
 Offers real-time, predictive and historical traffic information helping
improve operations and manage performance of road networks
AutomotiveMobile
Public
Sector
 Helps premier fleet and transportation management solution
providers to drive better performance through improved planning
and better day of service information
Fleet
 Helps web portals, satellite radio and HD radio service providers
attract new customers and increase stickyness using INRIX's real-
time traffic information, incident alerts and traffic forecasts
Internet&
Media
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Location/events
Statistical

Management
Martin Turvey CEO Harte-Hanks, Global Address
Paul Flew CTO Global Address, Harte-Hanks
Geoff Roach VP, Marketing Cullinet, Digital Equipment, Informix,
Pure Software
Liat Perlman VP, Strategic Alliances Vine Hill Ventures, NetManage,
Micro Focus
Board of Directors
Richard Law Board member GB Group
Loqate overview
 Enables applications with a combination of address capture, verification and
geocoding for 240+ countries
 Enables software vendors to enhance the functionality and capability of their
own product offerings
 Offers single global source for high quality, accurate location information
 Products leveraged by software vendors, service providers and systems
integrators
 Sales and support offices in Europe and Asia-Pacific
 Founded in 2009
 Headquartered in San Bruno, CA
Source: Company information, Crunchbase
Management
Key partners
 Identify
 Dynamic identification and geocoding of location data from Big Data, web
pages, news feeds, or text
 Used in internet search, intelligence and forensics
 Register
 Real time entry of address data for a fast and user friendly data entry
experience in call center, CRM and e-Commerce
 Verify
 Error tolerant parsing algorithms for the direct marketing, data quality and
MDM markets
 Geocode
 Enables a latitude-longitude coordinate to be added to any world address
 Creates maps between characters in supported languages and
Latin characters
 Mapping used to do character based transliteration
 Ability to transliterate between native character sets and Latin across core
product functions: Verify, Register and Geocode
LoqateEngineTransliteration
 Contains reference data relating to postal addresses and other geographic
points of interest for all 240+ populated countries and territories of the world
 User-extensibleGlobalknowledge
repository
Recent news
 Jun 11, 2012: Announced the general availability of the Register component
of The Loqate Engine; allows integration into any application that requires
instant address verification
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Machine data
Location/events
Statistical

Duncan McCall CEO & Co-Founder IS Solutions, ExxonMobil
Steve Milton CTO & Co-Founder Nuance, Digital Globe
Kevin Brackney Director of IT Requisite Technology, Local
Matters, PublicEarth
Niladri Batabyal Senior Director of Software
Engineering
Goldman Sachs, Microsoft
Brian Carroll Strategy & Financial
Operations
Nielsen Online, Akamai
Technologies, Flavorpill
Productions
Jaime Chung Senior Director of Operations Kinetic Social, Epic Media Group
PlaceIQ overview
 Extracts context and meaning from location data and organizes this into
actionable intelligence about a hyper local location
 Takes large amounts of unstructured, unrelated and location based data,
such as photos, place data, event data, social data and extracts patterns,
trends, intelligence and context from the data
 Founded in 2010
Business overview Applications
Investors
Recent news
 Jun 05, 2012: Announced partnership with Verve Wireless that will enable
Verve to leverage PlaceIQ’s ‘place-based’ data for mobile audience targeting
 Dec 13, 2011: Raised $4.2mm of funding secured $4.2mm in Series A
funding round from U.S. Venture Partners and Valhalla Partners
 Jun 05, 2012: Announced partnership with Skyhook to layer SpotRank’s
location usage data over PlaceIQ’s location intelligence
Management
Publishing/
sell side
 Used to enrich location aware impressions with
additional context, such as user profile, intent, IAB
segments, etc.
Networks
 Mobile ad networks can also bring context to location
aware mobile impressions and using that context to
match the right impression with the right ad, increasing
targeting and relevancy
Advertisers/
Buy side
 Allows advertisers to target a specific demographic by
time and location and thus only buying the most
relevant and targeted media to advertise to their specific
audience
Campaigns and
custom rules
 Creates custom mappings that represent an
understanding of a location to a segmentation system or
other taxonomy
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Statistical

Recorded Future overview
 Offers customers new ways to analyze the past, present and the
predicted future
 Scans online news publications, blogs, public niche sources, trade
publications, government Web sites and financial databases, analyzes the
content to identify references to entities and events and visualizes insights to
explore the past, present and prospective future
 Customers include Fortune 500 companies and financial institutions and
government agencies worldwide
 Available in 3 plans
 Basic: Free
 Premium: $149 per month
 Developer: $9,000 per month
 100,000-500,000 customers: $999 per month
 Founded in 2009
 Headquartered in Cambridge, MA with offices in Göteborg, Sweden and
Arlington, VA
Business overview Management
Management
Christopher Ahlberg Co-Founder and CEO Spotfire AB
Ulf Mansson Co-Founder and Infrastructure
manager
N/A
Board of Directors
Rich Miner Director Google Ventures
Bernard Liautaud Director N/A
Andy Palmer Director Vertica Systems
Investors Recent news
 May 24, 2012: Raised $12.0mm of Series C funding led by new investor
Balderton Capital. Also announced launch of a new product focused on
military and intelligence analytics
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Market places
Machine data
Location/events
Statistical

Last round: Series A, $3.5mm (August, 2012)
Management
John Slitz CEO IBM, Novell, SRD
Andrew Rogers CTO Neopolitan
Charlie Barbour SVP, Development N/A
Board of Directors
Tony Askew Board member Reed Elsevier Ventures, eVentures
Kevin Ober Board Member Divergent Ventures, Vulcan Ventures
Doug Derwin Board Member Triage Ventures
Space Curve overview
 Develops a Big Data spatial-temporal database platform and immersive
analytics tools that create real-time models of reality and awareness of
complex contextual ad hoc relationships
 Continuously captures, processes and analyzes geospatial, temporal, sensor
network, social graph and other large data streams
 Enables application developers and organizations to leverage the real-time
models required for geospatial applications and to extend existing
applications
 Founded in 2009
 Headquarters: Seattle, WA
Business overview Space Curve platform overview
Management
Investors
Source: Company information, Crunchbase
 Stores, manipulates and analyzes large quantities of geospatial, temporal,
sensor network and social graph data in real time
 Employs a unique, pattern-based approach to achieve vast scalability and
efficiency advantages for large, distributed, multidimensional data
 Ability to perform ad hoc parallel jobs across distributed systems
 Distinct method for indexing geospatial polygons
 Provides support for geodetic geometry
 Supports both real-time ingestion and real-time analysis of large,
multidimensional data sets
 End-user application includes
 Location-based services, including advertising and real-time
weather mapping
 Social networking
 Crowd sourcing
 Commodities and other financial markets
 Defense, law enforcement and national security
 Civilian emergency and disaster services
 Transportation and logistics
 Healthcare and public health
 Scientific analysis
Recent news
 Nov 2, 2012: Announced plans to move to larger offices and the expansion
of its Big Data development team in anticipation of growth
 Aug 14, 2012: Raised $3.5mm via series funding from new investors Triage
Ventures, Reed Elsevier Ventures and Divergent Ventures
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Revolution Analytics overview
 Offers products for statistics and predictive analytics that enable statisticians
and scientists to derive meaning from large sets of critical data
 Provides commercial software solutions and services that support users of the
open source R programming language
 Also provides professional training classes and consulting services, as well as
technical support services
 Currently has 2mn+ users
 Founded in 2007 and headquartered in Palo Alto, CA
 Formerly Revolution Computing and changed name in May 2010
 Additional offices in Seattle and Singapore
Management
Customers
Revolution R
Enterprise
 Production-grade analytics software built upon the powerful
open source R statistics language
 Includes all of R’s advanced data analysis and graphics
capabilities
 Designed for corporations, government agencies and
academic researchers
 Available for 32 and 64-bit Microsoft Windows and 64-bit
Red Hat Enterprise Linux 5 & 6os
Revolution R
Community
 Free distribution of the open source R programming
language
 Linked with computational libraries that take advantage of
multiple processors simultaneously to reduce the time to
complete many common mathematical operations
Recent news
 Nov 8, 2012: Launched the latest version of Revolution R Enterprise, an
commercial-grade analytics software built upon open source R language
 Aug15, 2012: Announced the opening of an office in Singapore to provide big
data analytics for Asia Pacific customers
Name Designation Past experience/current affiliation
Management
Dave Rich CEO Accenture Analytics
David Champagne CTO SPSS, LexiQuest, Honeywell
Lee Edlefsen Chief Scientist ExaMetrix, MathSoft, Aptech Systems
Board of Directors
Robert Gentleman Board member NA
Basil Horangic Board member North Bridge Venture Partners
Norman Nie Board member SPSS
Zack Urlocker Board member MySQL, Sun Microsystems
Investors
Last round: Series C (Oct 2010), $8.6mm
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Statistical

Skytree overview
 Operates as a data analytics company that enables organizations to perform
machine learning (ML) and other analytics methods on data
 Offers Machine Learning platform that helps organizations discover deep
analytic insights, predict future trends, make recommendations and reveal
untapped markets and customers
 Also provides ML consulting services, such as assessment of statistical
methodology needs/possibilities, custom ML modeling and algorithm design
 Key verticals: E-tailing, retail/consumer, financial services, Web scale use
cases, government, health and life sciences, telecommunications and energy
 Founded in 2010 and headquartered in San Jose, CA
Key personnel
Investors
Name Designation Past experience/current affiliation
Management
Martin Hack President, CEO &
Co-Founder
Sun Microsystems, SonicWALL,
GreenBorder
Alexander Gray CTO & Co-Founder Georgia Tech
Paul Salazar VP Sales Greenplum, Coghead, Red Hat
Board of Directors
Noah Doyle Director Javelin Venture Partners
David Toth Director NetRatings
Technical advisory board
Prof. Michael Jordan Advisory Board
Prof. David Patterson Advisory Board University of California Berkeley
Prof. Pat Hanrahan Advisory Board Stanford University
Prof. James Demmel Advisory Board University of California Berkeley
Skytree
Server
 General purpose Machine Learning and advanced analytics
system, designed to accurately process massive datasets at
high speeds
 Connects with the existing IT infrastructure
 Configurable to accept data streams from multiple sources
and compute near-instantaneous results on each one
 Data sources include both structured and unstructured data
from relational databases, Hadoop systems, flat files,
Machine Learning libraries
 Incorporates advanced algorithms from the Machine
Learning and theoretical computer science frontier
Powerpack
Plugins
 Modules that are plugged into the Skytree Server
Foundation to add functionality and performance
 Nonparametric/Nearest-Neighbor PowerPack: Extends
Skytree Server by including a suite of additional algorithms
for performance in Nearest-Neighbor search
 Advanced Scoring/Prediction PowerPack: Allows better
control and understanding of performance measures most
important to organizations, such as false positives/negatives
Last round: Series A (Feb 2012), $1.5mm
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Wale Ayeni, 2013
olawalexi@gmail.com
transmitted in any form or by any means without the prior written permission of the
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