01 big dataoverview

© 2015 IBM Corporation
 
Big Data & Analytics Day 
Presenter name and contact info

2
Untapped Resource Empower Everyone Increased Value
The World of Big Data & Analytics 
Is Rapidly Expanding

3
Data at Scale Data in Many Forms Data in Motion Data Uncertainty
Big Data Is All Data
Volume Variety Velocity Veracity

4
Today’s IT challenges and market shifts introduce different data
economics
Traditional workloads New workloads
Systems of Engagement
▪ Require massive scale and rapid pace
▪ Accelerate business insights
▪ Rely on data elasticity, supporting
diverse hardware
Systems of Record
▪ Benefit from simplified infrastructure
▪ Require cost efficiency through  
improved virtualization and
automation
▪ Drive controlled data growth
Transactional systems
Email, supply chain, HR
Virtual servers and desktops
Social and media
Mobile applications
Big Data & Analytics
Integrated approach
Exploding
Data Volumes
Diverse
Data Types
Increasing Value
of Information
Mobile & Social  
Engagement

5
Why Act Now?
Create IT AgilityManage RiskOutperform
Only 1 in 5 organizations
allocate more than 50% of  
IT budget to new projects
Of leaders cite growth as  
the key source of value  
from analytics
Source: 
1 - IBM IBV Study: Analytics: A blueprint for value, October 2013
2 - IBM Global Study on the Economic Impact of IT Risk, 2013
3 - IBM Global Data Center Study, 2012
Of respondents were impacted
by a cyber security breach over
the past 24 months
46%75% 1in5

6
Business Tech Trends: Pacesetters
Since the 2012 Tech Trends study, Big Data & Analytics deployment has grown
by 39%, with 40% now deploying a significant range of Big Data & Analytics
solutions capabilities. Just as crucially, Pacesetters report they are better at
achieving key business objectives with Big Data & Analytics.

7
*Notes: To obtain a global understanding of approaches to these transformational technologies, we surveyed 1447
IT and line of business (LOB) decision-makers — spanning 5 continents and 15 industries.
Leveraging skills
from the ecosystem
"
Pacesetters run their
enterprises on insight
CAMS integration for  
greater effect
Business Tech Trends 2014 – Pacesetters: Three key characteristics that
set them apart
Partnering is in their
DNA
Analytics is their
fuel
Integration is their
breakaway move

8
Big Data & Analytics on Bluemix
https://ace.ng.bluemix.net/#/home
You can launch Big Data services and build applications in minutes on
Bluemix. Use only what you need.

9
as likely to have mature
analytics capabilities
as likely to have most of  
skills they need
as likely have deployed a
significant range of solutions
Analytics is their fuel  
Pacesetters run their enterprises on insight
Source: IBM Center for Applied Insights “Raising the game: The IBM Business Tech Trends Study” | www.ibm.com/ibmcai/biztechtrends
7 in 10  
say data-driven
insights are a
significant part of their
organization’s
decision making
process

10
CAMS: the business imperative
appears
CAMS technologies: rapidly
emerging but lack of skills
Business Tech Trends – Pacesetters are strategically integrating 
Cloud, Analytics, Mobile, and Social (CAMS)
Pacesetting companies: partnering,
insight-driven, integrate CAMS
2012
2011
2014
Pacesetters
believe technologies are
critical to their business
success 
AND
DRIVE REAL
BUSINESS OUTCOMES

11
How pacesetters like you can leverage the IBM ecosystem
Use IBM Bluemix to
broaden your partnering
experience
Leverage IBM portfolio,
skills and data challenges
Maximize CAMS with IBM
integration support
Partnering is in their
DNA
Analytics is their
fuel
Integration is their
breakaway move
Enter the Mobile Bluemix
App Challenge
Sign up for Watson
Analytics beta
List your solutions on the
Cloud marketplace
https://ibm.biz/biztechjam http://watsonanalytics.com/ https://ibm.biz/Cloudmkt

12
About the Authors:
"
➢Entrepreneur Huddle Webcast:  
https://ibm.biz/techhuddle  
➢“Raising the game: The IBM Business Tech Trends Report”
https://ibm.biz/IBMBTT14
➢The IBM Tech Trends interactive Dashboard  
http://bit.ly/tt14dashboard
The IBM 2014 Business Tech Trends links & contacts:
Susanne Hupfer, Ph.D. is a consultant
with the IBM Center for Applied
Insights, where she conducts fact-
based research for innovation
leaders. @cybersooz

© 2015 IBM Corporation‹#›
Big Data & Analytics is a journey.
Be proactive
about privacy,
security and
governance
Build a culture
that infuses
analytics
everywhere
Invest in a  
big data &
analytics  
platform
Imagine It. Realize It. Trust It.

the possibilities of analyzing all available data
Real-time Traffic
Flow Optimization
Fraud & risk
detection
Accurate and timely
threat detection
Predict and act on
intent to purchase
Understand and
act on customer
sentiment
Low-latency network
analysis
Imagine It.

Key Business Imperatives
Create new  
business models
Optimize operations;  
counter fraud & threats
Attract,  
grow, retain
customers
Transform
financial &
management
processes
Manage
risk
Improve  
IT economics
Big Data &
Analytics
Big Data &
Analytics
Imagine It.

• Acquisition
"• Personalization
"• Profitability
"• Retention
Acquire, grow,
retain customers
Optimize
operations;
counter fraud &
threats
Maximize insight,
ensure trust,
improve IT
economics
Transform
management
processes
Create new
business models
• Business process
operations
"• Infrastructure & 
asset efficiency
"• Counter fraud
"• Public safety &
defense
• Harness and 
analyze all data
"
• Enable full
spectrum of
analytics
"• Govern & protect all
data
"• Optimize Big Data &
Analytics
infrastructure
• Planning &
performance
management
"• Disclosure
management &
financial close
"• Incentive
compensation
management
"
• Human capital
management
• Data-driven
products 
and services
"• Non-traditional 
partnerships
"• Mass 
experimentation
Manage risk
• Risk adjusted
performance
"• Financial risk
"• Operational risk
"• Financial crimes
"• IT risk & security
Insight Drives Key Business ImperativesImagine It.

Every Industry can Leverage Big Data and Analytics.
Insurance
• 360˚ View of Domain  
or Subject
• Catastrophe Modeling
• Fraud & Abuse
Banking
• Optimizing Offers and Cross-
sell
• Customer Service and Call
Center Efficiency
Telco
• Pro-active Call Center
• Network Analytics
• Location Based Services
Energy &
Utilities
• Smart Meter Analytics
• Distribution Load
Forecasting/Scheduling
• Condition Based
Maintenance
Media &
Entertainment
• Business process
transformation
• Audience & Marketing
Optimization
Retail
• Actionable Customer Insight
• Merchandise Optimization
• Dynamic Pricing
Travel &
Transport
• Customer Analytics &
Loyalty Marketing
• Predictive Maintenance
Analytics
Consumer
Products
• Shelf Availability
• Promotional Spend
Optimization
• Merchandising Compliance
Government
• Civilian Services
• Defense & Intelligence
• Tax & Treasury Services
Healthcare
• Measure & Act on Population
Health Outcomes
• Engage Consumers in their
Healthcare
Automotive
• Advanced Condition
Monitoring
• Data Warehouse
Optimization
Life Sciences
• Increase visibility into drug
safety and effectiveness
Chemical &
Petroleum
• Operational Surveillance,
Analysis & Optimization
• Data Warehouse
Consolidation, Integration &
Augmentation
Aerospace &
Defense
• Uniform Information Access
Platform
• Data Warehouse
Optimization
Electronics
• Customer/ Channel Analytics
• Advanced Condition
Monitoring
Imagine It.

Big Data Exploration
Find, visualize, understand all big
data to improve decision making
Enhanced 360o View of the Customer
Extend existing customer views (MDM,
CRM, etc) by incorporating additional
internal and external information sources
Operations Analysis
Analyze a variety of machine data for
improved business results
Data Warehouse Augmentation
Integrate big data and data warehouse
capabilities to increase operational
efficiency
Security/Intelligence Extension
Lower risk, detect fraud and monitor
cyber security in real-time
The 5 Key Analytical Use Cases

19
IBM Big Data & Analytics Portfolio
Innovative – easy to consume
Complete – enterprise-ready
Fast – start anywhere and grow

20
IBM Watson Foundations
Systems, Security, Storage
IBM Big Data & Analytics Infrastructure
Reporting, Analysis,  
Content Analytics
Cognitive
Exploration  
& Discovery
Decision  
Management
Predictive Analytics  
& Modeling
Information Governance Zone
New/ 
Enhanced
Applications
Real-time
Analytics
Zone
Exploration,
Landing &
Archive Zone
Information
Ingestion &
Operational
Information
Zone
Enterprise
Warehouse,  
Data Mart &
Analytic
Appliance
Zone
Realize It. Invest in a Big Data & Analytics platform.
All Data
Transaction and  
application data
Social data
Image,  
geospatial, video
Enterprise 
content
Machine,  
sensor data
Enterprise 
content
Third-party data

21
Realize It. Invest in a Big Data & Analytics platform.
New/ 
Enhanced
Applications
Why did it happen?
Reporting, Analysis, Content Analytics
What did I learn, what’s best?
Cognitive
What is happening?
Exploration & Discovery
What action should I take?
Decision Management
What could happen?
Predictive Analytics & Modeling
Be 
More Right,
More Often

22
Tools to address practical challenges managing Big Data
DB2 with BLU Acceleration
▪ In-memory computing
▪ 35x to 73x faster analytics1, with some queries running more than
1400x faster
▪ instant insight from real-time operational data and historical data
▪ No need for indexes, aggregates, or tuning
▪ Ultimate operational simplicity with “load and go” performance
▪ Available for on-premises or via the cloud
IBM Puredata For Analytics
▪ Simple data appliance for serious analytics.
▪ It simplifies and optimizes performance of data
services for analytic applications, enabling very
complex algorithms to run in minutes not
hours.
▪ In-Database Geospatial Analytics compatible
with industry standard ESRI GIS formats.

23
Tools to address practical challenges managing Big Data
InfoSphere BigInsights for Hadoop
▪ For data at rest
▪ 100% standard Hadoop
▪ IBM Big SQL, BigSheets
▪ Developer tools, Accelerators
▪ Ease of use for all roles
InfoSphere Streams
▪ For data in motion
▪ Agile development environment
▪ Sub-millisecond response
▪ Live graph, streams debugger
▪ Packaged adapters and toolkits
▪ Geospatial Toolkit

24
4x
IBM InfoSphere
BigInsights delivers
performance gain1
1.Audited STAC® Report Securities Technology Analysis Center
Of database queries
for reporting2
InfoSphere BigInsights for Hadoop
Realize It. Optimize your Big Data & Analytics infrastructure.
Open Source Hadoop
38x
Average 
Acceleration
2. Based on internal tests.
Dynamic 
Query
Compatible 
Query
Dynamic 
Cubes
DB2 with BLU
Cognos BI
+"
DB2 BLU
+ 
Power

© 2014 IBM Corporation25
Do you Trust your infrastructure ?

Power Systems with POWER8
Power Systems introduces the first generation of systems built with open innovation to put data to work
across the enterprise.
Power S824L
IBM Data Engine for Analytics – Power Systems Edition
NEW!
IFL
Power E880
NEW!
IFL
Power E870
NEW!
NEW!
IBM Cloud Mgt w Open Stack v4.2
E
EEE
E
BLU Acceleration – Power System Edition
Value-Propositions for Partners
▪ Larger in-memory databases – up to 2TB (SCO) & up to 16TB (Enterprise) - support
big data demands and mission critical apps securely and with resilience
▪ Run analytics 8X faster w/ NVDIA’s GPU – helps clients quickly discover fresh
opportunities and enter new markets
▪ Achieve 24X infrastructure consolidation vs X86 -- saving your clients money
▪ Simplified cloud management and secure path to hybrid cloud protecting client
investment while reducing resource investment
▪ Develop, build & easily migrate apps on LoP from x86
▪ Easy access to extensive business partner support – i.e.
a. IICs/Power Linux Centers make it simpler for software developers to
build and deploy new Linux on Power apps;
b. Chiphopper offers no-cost validation of apps onto Linux on Power &
SW middleware;
c. Power Development Cloud offers no-charge remote access to
Power Systems for all AIX, IBM i, Linux and Ubuntu to develop, port
or migrate apps
NEW!
CAPI-attached flash memory
IBM Confidential Until Day of Announcement
E
IBM Solution for Analytics – Power System Edition
Designed for Big Data
Big Data needs big memory
Open Innovation Platform
Continuous innovations, open server
ecosystem, collaborative community
Superior Cloud Economics
Simplified hybrid Cloud Management
- NEW! Oct 6th launch E - means “enhanced or updatedNEW!

IBM Opens POWER8 Processor Architecture for Innovation with OpenPOWER
Foundation
POWER8 Provides More Reasons to Run Linux on Power
Foundation: Opening the IBM Power Chip Architecture to Market Innovators 
 
▪ Innovate across a complete server stack based upon the IBM POWER architecture
▪ Produce open hardware, software, firmware and tools through “collaborative innovation”
▪ Innovate customized and highly advanced servers, subsystems, components
▪ Leverage complementary skills and investment from the member companies
▪ Become operational this year
OpenPOWER Foundation is an industry body comprised of passionate innovators who come together to
pool their resource around a single purpose to:
• 55 Members and growing
http://openpowerfoundation.org/
"
• Servergy becomes first company outside of IBM to build Power server
http://www.networkworld.com/news/2014/032414-servergy-becomes-first-company-outside-280008.html
Platinum Members

Paradigm shifts enabled by big data 
Leverage more of the data being captured
TRADITIONAL APPROACH BIG DATA APPROACH
Analyze small subsets  
of information
Analyze  
all information
Analyzed 
information
All available
information
All available
information 
analyzed

Reduce effort required to leverage data
Carefully cleanse information  
before any analysis
Analyze information as is,  
cleanse as needed
Small
amount of
carefully
organized
information
Large
amount of
messy
information

Data leads the way—and sometimes correlations are good enough
Start with hypothesis and
test against selected data
Explore all data and 
identify correlations
Hypothesis Question
DataAnswer
Data Exploration
CorrelationInsight

Leverage data as it is captured
Analyze data after it’s been processed
and landed in a warehouse or mart
Analyze data in motion as it’s
generated, in real-time
Repository InsightAnalysisData
Data
Insight
Analysis

A New Analytical Approach
 
Information Integration & Governance
Systems Security
On premise, Cloud, As a service
Storage
New/Enhanced  
Applications
All Data
What action
should I
take?
Decision
management
Landing,
Exploration
and Archive
data zone
EDW and
data mart
zone
Operational
data zone
Real-time Data Processing & Analytics What is
happening?
Discovery and
exploration
Why did it
happen?
Reporting and
analysis
What could
happen?
Predictive
analytics and
modeling
Deep
Analytics data
zone What did 
I learn,  
what’s best?
Cognitive
The 5 W’s

"
•Big data requires analytics to surface relevant data and make it actionable
"
•Business requires blend of analytics and data – not siloed by data store or
limited by programmer availability
"
•Demands for fast performance require querying data where it resides and
running processing closer to the data
"
•Analytics must demonstrate value quickly and grow to support the clients’
analytics journey
Analytics Have Evolve and Expand with Big Data

© 2015 IBM Corporation‹#› Degree of Complexity
CompetitiveAdvantage
Standard Reporting
Ad hoc reporting
Query/drill down
Alerts
Simulation
Forecasting
Statistics
Optimization
What exactly is the problem?
What will happen next and WHY ?
What if these trends continue?
What could happen…. ?
What actions are needed?
How many, how often, where?
What happened?
Stochastic Optimization
Descriptive
Prescriptive
Predictive
How can we achieve the best outcome?
How can we achieve the best outcome
including the effects of variability?
The Analytic Landscape
What did i learned, and
what is the best? CognitiveStandard Reporting

Combine data in motion and at rest
"
Optimized access to:
BigInsights via Big SQL and SAP HANA
IBM Cognos Business Intelligence V10.2.2
IBM® Business Analytics
IBM Big Data Platform Other Big Data Sources Enterprise Data Sources
Stream
Computing*
Hadoop
Systems
Data
Warehouse
Our business generates a lot of data, and the Cognos BI
platform helps us understand all our "big data". As a result
we have a complete view of what is happening in the
business so that we can effectively communicate our
transformation strategy .
"
Mark Lacks
Manager, Strategy Analytics & Business Intelligence
Mueller
Business Intelligence
Get the Most Complete View of the Business

Rapidly Adaptive Visualization Engine - RAVE

Predictive Analytics 
Get more Accurate Models with bigger volume and variety of data
- Read Data from Hadoop
"
- Write back to Hadoop
"
- Export your Models to Streams
- Prepare your Data on Hadoop
"
- Few Models can run on Hadoop
"
- R analytic capabilities in SPSS
"
"

dr5ru7|2013-01-01 00:00:00|2013-01-01 00:15:00
Geohash Start timestamp End timestamp
Geospatial Data Mining
 
Get more Accurate Models with bigger volume and variety of data

40
Powerful Analytics for Everyone
Watson Analytics
▪ Single Business Analytics Experience -
Watson Analytics is a seamless, unified
experience that brings together a set of self-
service enterprise data and analytics capabilities
on the cloud. 
▪ Fully Automated Intelligence
▪ Natural Language Dialogue
▪ Guided Analytic Discovery
"
"
Visit WatsonAnalytics.com
and get started for free
The ERA of cognitive Analytics

41
In Summary: Go Further and Faster with IBM
Resources
Accelerated Discovery Lab Ecosystem
Analytics Solution Centers
Expertise
9K
Consultants
30K
Engagements
2,500
Academic Initiative
1,000Partnerships
Business Partners

01 big dataoverview

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