Marlabs Capabilities Overview: DWBI, Analytics and Big Data Services

Marlabs Capabilities Overview
© 2016, Marlabs - Confidential
DW/BI, Analytics and Big Data
Contact@marlabs.com
+1 (732) 694 100
www.marlabs.com

• Founded in 1996
• 2100+ employees
• Consistent year-on-year revenue growth
• 100+ blue-chip clients across multiple verticals
• IP driven global consulting and software services
• Headquarters in Piscataway, NJ – USA
• Global delivery headquarters in Bangalore, India
• CMMI Level 5 and ISO/IEC 27001: 2013 certified
Marlabs Snapshot
2
Global Locations
Strategic PartnershipsAwards and Recognition Verticals Serviced
Overview
35%
22%
9%
23%
11%
Banking, Finance,
Insurance
Media &
Education
Transportation &
Logistics
Healthcare & Life
Sciences
Retail & Others

Global presence to drive speed and value
Key locations
3
Marlabs Corporate HQ: One Corporate Place South, Piscataway NJ
• Global Data Center
• Network Operations Center
• Sales, Acct. Management & Operations Support
• Onshore Development Center
Marlabs North American Training Facility Broadhead Road, Bethlehem, PA
• Global Training Facility
• Multi-Discipline Center of Excellence
• Onshore Development Center
• DR Data Center
Global Development Center BWTC, Bangalore, India
• Global Development Center
• Multi Discipline Center of Excellence
• Asia-Pacific Data Center
• Network Operations Center
Global Development & Training Center Udayaravi Road, Mysore, India
• Global IV&V Center and CoE
• Asia-Pacific Training Facility
Global Development Center & CoE Infopark, Kochi, India
• Centers of Excellence

Partners in our success
Customers
4
Media & Education
Banking, Financial Services,
Insurance
Healthcare & Life Sciences
Logistics & Hospitality Retail & others

Secure, scalable, and state-of-the-art
Infrastructure
5
• 20,000 sq. ft. of infrastructure
area (option to expand)
• N+1 infrastructure topography
• Dual and diverse power feed
• Lit with multi-entrance
fiber rings
• State-of-the-art backup system
and power unit
• Redundant service providers
for guaranteed network uptime
• Dedicated secure channel
• VLAN for ODC isolation with
selective access using ODC
gateway
• Restricted access monitored by
card and CCTV
• Two factor authentication and
biometric finger print scan
• Advance intrusion prevention
capabilities
• ISO 27001 compliant
information security practices
• Full disaster recovery for
hosted applications
• FM200 fire suspension system
for complete protection
• Multisite Network Operations
Center (NOC) for monitoring
and management
• Scalability and extending T1/T3
circuit to alternate DR sites
SSAE 16 Type II Compliant
Data Center, Piscataway, NJ
Guaranteed Security Disaster Recovery

The expertise driving our solutions and services
Centers of Excellence
7
• Improve legacy and proprietary
Integration with current
solutions/software
• Positive impact on usability and
architecture decisions among project
teams
• Increase overall user adoption
• Implement the best practices for the
development of solutions
• Promote cross-platform flexibility
• Rapid scale up for project
requirements
Marlabs Centers of Excellence (CoE)
Primary objectives
Industrialized assets
and methods
Innovation
Architecture based on
cost/benefit analysis
Skills and resources Alliance ecosystem
Microsoft
Java/
Open Source
Digital Asset
Management
(DAM)
Testing
DW/BI &
Analytics
Mobile
Infrastructure,
Security & Cloud
UI/UX ERP/CRM

Client Project
Stakeholders
Customer centric blended model
Client Engagement
8
Client Executive
Sponsor
Client Program
Manager
Client Project
Manager
Client
SMEs
IT &
Infrastructure
Marlabs
Executive
Sponsor
Marlabs Account
Manager
Business Analyst/
Lead Developer
Technical
Architect
IT &
Infrastructure
Programmer/
Analysts
Quality
Assurance
IT &
Infrastructure
Client Team Marlabs On-Site/Off-Site Team Marlabs Off-Shore Team
• Strong Transition Management
• Peer-to-Peer Communication
• Defined Escalation Process
Steering
• Business Alignment
• Work Prioritization
• Metrics Monitoring
Project
Management
Requirements/
Deliverables
Task Monitoring
& Control
Project Status
Issue Management
Work
Packages
Technical Specs
Project Lead/
Manager
Project Lead /
Manager

Insights through visualizations/analytics/predictive sciences
DW, Business Intelligence, and Analytics
10
• BI Roadmap
• Tool Evaluation
• Performance Tuning
• SSIS/SSRS
• Informatica
• Data Stage
• OBIEE
• QlikView
• Tableau
• SpotFire
• SAS
• R
• KNIME
Assessments
and
Consulting
Data
Warehousing
Dashboards
and
Visualizations
Predictive
Sciences
Database Management Data Warehousing Analytics
Solutions Based Approach
Deployment Hosting Batch Monitoring DWH Maintenance

Compare
Provide
Direction
• Increase the automation of
Information delivery
• Decrease the cost of
gathering information
• Manage risks (security ,
Compliance, and reliability)
• Increase adoption
• Create BICC
Measure
Performance
BI Activities
• Align BI with business
• Enable the business and
maximize benefits
• Use BI resources
responsibly
• Manage BI risks
responsibly
Set Objectives
Marlabs BI Strategy

Best practices implemented in large scalable DW
Marlabs - DWBI
12
• Well-designed dimensional modeling techniques
• Efficient load process for any data type and volume
• Efficient archival process
• Scalable data integration techniques ( ETL vs. ELT)
• Operational data repository and staging area
• Validation, cleansing, and de-duplication process
• Appropriate backup strategy in place
• Appropriate tool selection
• Data delivery channel optimization
• Security and audit mechanism considerations
• Scheduling and monitoring dashboard.

Ecosystem
Analytics Factory
13
Multiple Internal and
External Data Sources,
Content and Formats
(Predictive Modeling, Text
Mining)
Continuous
Data Management
Operation
Advanced Statistical
Modeling and Analysis
Review Feedback
Summarization
Delivery of Analytics Ecosystem
f?
(?)
Q1 Q2 Q3 Q4
N
S
E
W
R
E
G
I
O
N
OLAP Modeling and
Analysis
Analytics Reporting and
Dashboards
Predictive Targeting Lists
and Analytics Scorecards
SPSS
DataMart Dev
& Mgmt

Capability overview
Visualization
14
• Stock Overview
• Invoice Reports
• Order Sheets
• Quotation Integration
• Periodic Reports
• Student Performance
• Geo Charts
• Customer Segmentation
• Performance Analysis
• Collections Scorecards
• MIS Reports
• Statistical Quality Control
• Inventory Reports
• Competitor Analysis
• Product Segmentation
EngineeringEducation
ManufacturingBanking

• Campaign Media Analysis
• Market Basket Models
• Customer Targeting Models
Retail and CPG
• Time Series Forecasting
• Technical Analysis
• Company reports
Capital Market
Capability overview
Predictive Sciences
15
Dashboards
Banking &
Insurance
• Default/Re-instatement/
models
• Prepayment Scorecards
• Collection’s Dashboards/Scorecards
• Fraud Identification/Analysis
• Customizable
• Dynamic
• Analytical
• Reactive
Acquisition
Attrition
Performance
Retention
Business
Analysis
Implementation
& Maintenance
Predictive
ModelingValidation
Business
Insights/
Consulting

SAS, R
Predictive Modeling Tools
16
Data Extraction
Transformations
Graph/Charting
Statistical Models
Validations
Web Framework
GGPLOT GEO CHARTS
R
PACKAGES
SHINYHTML WEB
DATA
MINING
LOGISTICDEPLOY
PROC
MEANS,
SUMMARY
SAS
BASETIME SERIES CLUSTER
GRAPH
INTERACTIVE
IMPLEME
-
NTATION
OVERVIEW

Marlabs Big Data Analytics and Hadoop

Bigger problem!
Big Data
18
Big Data Makes Manual Data Modeling for BI Extremely Difficult
Big Data Is Not Just about volume
But also
Because
Variability
Variety
Velocity
Data structure and schema vary frequently, making it difficult
to manually keep pace with changes
Newer data sources pop up regularly, making it difficult to
manually keep updating data models
New data comes in an extremely high pace, making it
impossible to manually capture, model/re-model in real time
without automation
Added to That

Source: Forbes
Big Data Landscape
We have expertise in several of the key areas

Potential Engagement Areas
• Assessment, blueprint, and roadmap services
• Infrastructure, deployment, and configuration
- On-premise and on the cloud
• Architecture and engineering services
- Preparation, ETL, reporting, analytics, and visualization
• Testing and support services
- Data generation, test automation, hosting, and managed
services.
Value proposition
Big Data

Marlabs Case Study
22
Client World’s leading manufacturer of power transmission belts and a premier global manufacturer of fluid power
products
Need Require consulting services for the Application and Database Consolidation - Discovery and Assessment
Project covering all servers and application portfolio across all plant locations across United States. The key
project deliverables listed detailed results of the assessment and a recommendation report for application,
database and server consolidation.
Marlabs Solution • The key objectives of the study was to reduce duplication of business application and server
infrastructure by analyzing application and database consolidation opportunities, which can result in
reduced IT infrastructure, licensing, and software maintenance cost.
• From a database perspective Marlabs considered the following strategy for database consolidation:
o Plant-wise segregation of DB servers.
o Same Server Platforms were considered for consolidation to lower the risk of migration and
Application complexity.
o Infrastructure Servers were avoided from the candidature as it may result in higher re-
architecture / maintenance efforts which may exceed the savings.
o Desktop versions of SQL Servers were omitted as they won’t yield much savings.
o Server Roles (Dev./Prod/Test) were also considered while identifying the candidates.
o Server Capacity and utilization were considered while identifying the candidates and the target
servers.
• Conducted initial assessment of existing databases and servers to identify database landscape and
delivered following reports:
o Functional Redundancy Report
o Technology Analysis Report
o IT Consolidation Recommendations Report.
Benefits • Consolidation of SQL DBs releases up to 61 SQL Server Licenses worth ~$200K and up to $30K/year of
Support costs.
• Approximately 70 Windows Servers could be retired after SQL database and Web Apps consolidation.
This was equivalent of releasing hardware resources worth up to $42 k per year.
• Potential overall savings of over $1 Million over a 5 year period.
Technology Platform 243 instances of Microsoft SQL Server 2000, 2005, 2008, 2012, 172 IIS Web servers, 1,393 web
applications on .NET, PHP, Java, Ruby, HTML

Marlabs Case Study
23
Client Leading privately-owned wholesale bank that provides funds for residential mortgages and community
development to more than 330 member banks, savings and loans, credit unions, and life insurance companies.
Need The Bank currently utilizes a variety of applications to support the capture of security and trade data for
mortgage backed securities (MBS), housing finance agency (HFA) trades and debentures securities and to
monitor its investment portfolio. These include third party applications and data providers, which are used in
the various business processes, as well as in-house developed Capital Markets Ticket System (CMTS) and
Mortgage Investment Portfolio System (MIPS). Customer intends to replace these systems, which run on a
legacy PowerBuilder platform by developing an all-in-one Investment Portfolio Management System (IPMS).
Marlabs Solution  Marlabs conducted a detailed requirement analysis to understand AS-IS and TO-BE architecture, integration
points, existing database model and constraints as well as identify any critical bottlenecks in terms of
scalability, functional instability, user experience, and flexibility
 Performed data migration design, approach, and validation by conducting a thorough Functional Analysis
which includes As-Is system analysis and To-Be analysis followed by data migration design, approach and
validation
 Developed the application on Java/Seam platform using Oracle as the database
 Streamlined MBS, HFA, and Debentures security trade entries by presenting the trader with customized
trade entry. Architected an electronic approval process, which ensures that a trade’s approval and
confirmation is auditable and available within a system. There by, the bank can use a trusted source of trade
data to relay their financial accounting needs.
 System can gather master security data from Bloomberg to execute the trade between bank and the dealer
 Established audit trail in the backend.
Benefits  One system, which can support three distinct processes – trade capture, portfolio performance monitoring,
and report compilation
 Provides real-time reports to management, including generation of trade tickets
Technology
Platform
Oracle, BODI (ETL Tool), Java/JSF/JBoss Seam platform, JBoss ESB, SOAP Web services, JBoss server, Sybase
database.

Marlabs Case Study
24
Client World's largest banking and financial services group
Need Implementing single global collections in LATAM per universal, group-wide standard
Marlabs Solution  Migrate old collections systems to One HSBC collections system, in some instances
 Deploy new collections system from scratch in other instances
 During migration, study how customer accounts are currently maintained
 Create mapping tables for data conversion once HSBC prescribes data standards
 Study existing products in local country so that they can be retained in the new migrated application
 Extract customer information on delinquent accounts periodically from core banking into
collections based on control parameters setup
 Build bi-directional batch interface to achieve this extraction
 Setup and testing connectivity for the interface for each environment
 Make country specific changes to the interface based on business needs
 Transmit updates on partial/full collections through the same interface
 Transmit payments details, account details, holiday tables and so forth through the interface
 Classify delinquent accounts based on the type of accounts
 Collectors to use the information to call delinquent customers for follow up.
Benefits  Eased application maintenance, support, and rollout of upgrades
 Enabled faster introduction of new products and new revenue sources
 Presented uniform, standardized look and feel to customers across the globe.
Technology
Platform
iSeries (AS/400), Rpgle, DB2/400, VisionPLUS, COBOL

Marlabs Case Study
25
Client International network of higher educational institutions
Need Manage instructional delivery and marketing across global campuses from central location.
Marlabs Solution • Own portal for each university where students login to access course material and grades
• Solution to pull in information from these individual portals into a common portal
• Integrate the portal with CRM system to manage student-targeted marketing activities
• Track range of metrics such as student attrition and graduation rates on the education delivery front
• Track the number of students targeted, conversion rates vis-à-vis students signed up, sign-up
information for individual courses, etc. on the sales and marketing front
• Build using multi-institutional architecture with data marts for different areas that roll up into the
data warehouse
• Cater to global audience : users are global—US corporate office as well as various campuses across the
globe.
Benefits • Enabled faster, better decisions
• Helped set, manage, and track performance management goals through KPIs and dashboards
• Provided insight into educational/geographical areas to focus on
• Helped analyze causes of student attrition and lowered attrition levels.
Technology
Platform
Oracle, Informatica, BusinessObjects, Xcelsius

Marlabs Case Study
26
Client Leading supplier of entertainment technology services
Need  The client has multiple legacy systems across the US and in Europe. They also had a centralized
Oracle ERP solution, web-based data, and other smaller silo-centric systems.
 Reporting across these systems was a very manual, time-consuming and error-prone process and
lacked access to timely, topical ,and “easy-to-analyze” reports.
 The client wanted to go in for a BI system but was put off by the apparent high costs, lack of in-house
bandwidth, and expertise and inability to visualize the potential benefits.
Marlabs Solution  Addressed the client situation by helping them conceptualize, plan, design, and implement the
business intelligence system in small phases.
 The engagement began with a strategic consulting assignment that helped them assess the need for
a BI system and quantify the benefits.
 The project moved on to a data modeling and prototyping phase during the end of which, the client
was able to visualize the benefits.
 Finally, the implementation itself was split into multiple phases – ETL design, development, building
the reporting system, deployment, rollout, and maintenance.
Benefits  Judicious use of on-site and off-shore resources to crunch costs and schedule.
 Phase-wise engagement with tangible deliverables at the end of each phase.
 Tool evaluation to fit client aspirations and budget.
 Extensive use of open source (DBDesigner, Pentaho BI Suite, etc.) while implementing on a high-end
box running on Oracle.
Technology Platform DB Designer, Pentaho BI Suite, Oracle.

Marlabs Case Study
27
Client One of the world's leading marketing communications agencies.
Need The need was to enhance campaign results for their client – a leading automotive company. They
needed to quickly assess campaigns by analyzing advertising information along with customer and
sales data, and respond to market changes. Challenges included:
• Managing product definition, categorization, media delineation, and market definition
• Handling the huge and growing volume of data that needed to be processed, as markets and
categories expanded over time
• Providing access to the client marketing team and their associates spread across the US.
• Building flexibility to respond to varied user queries
• Enabling quick, accurate, and user-friendly standardized reports.
Marlabs Solution • Marlabs designed, developed and implemented a “first of its kind” advertising data warehouse
that seamlessly integrates information such as advertising schedules, activity and spend, sales,
ratings, and customer satisfaction, from disparate sources.
• Enabled the client collate data in one place for easy reporting and analysis as well as study of
underlying trends
• Innovative dashboards enabled interactive visual analysis and pixel perfect reporting managed
all production reports.
Benefits • Consistent and integrated view of campaign data for effective management
• Queries, reports, statistical analysis, and cost benefit analysis made possible by high-
performance BI front-end
• Decreased lag in uploading data from more than a month to under a few days
• Delivered more meaningful reports that are based on recent data
• Enabled tailoring of campaigns based on actual market dynamics
• Increased returns from campaigns through more efficient tracking and analysis.
Technology
Platform
Microsoft SQL Server, SQL Server Analysis Services, Crystal Reports

Marlabs Case Study
28
Client Leading investment banking company
Need Clients’ Equity Aggregation System aggregates and tracks positions from domestic data feeds. Due to new
and changing regulations in the US and other countries, Client wanted to enhance the system to receive
global data feeds by establishing a common data feed supply format that addressed the challenge of
fluctuation in data arrival time from these varied time zones. Besides, the system should be flexible to
satisfy the filing rules of different securities exchanges. Data validation had to be constantly monitored to
ensure 100% accuracy of the system.
Marlabs Solution • Marlabs developed a business intelligence (BI) solution based on MicroStrategy
• A team of Marlabs BI consultants worked onsite to study its existing system and collate all new
requirements.
• Marlabs proposed a new data model, developed MicroStrategy Reports and also undertook unit testing
in the development environment.
• Data was aggregated using Informatica and loaded into an Oracle data warehouse after the extract,
transform and load (ETL) process.
• Marlabs provided support to move all reports into the production / user acceptance test (UAT)
environment. All bugs in the existing system were also fixed.
Benefits • Complete and accurate domestic aggregation of international equity positions was achieved within the
targeted time frame.
• The MicroStrategy reporting system helped meet regulatory compliance regulations of the US SEC,
New York Stock Exchange (NYSE), NASD, and UK's FSA.
• Response time of the system improved by 20%-30% since most of the calculation was performed at the
ETL level while loading data into the Oracle data warehouse.
Technology
Platform
MicroStrategy, Oracle, Informatica, Windows Server

Marlabs Case Study
29
Client Leading provider of collaborative payment and invoice automation solutions to corporations, financial
institutions, and banks around the world.
Need Client’s offerings combine an excellent breadth of functionality with imbedded best practices. However, their
reporting capabilities were somewhat limited due to the inherent constraints of transactional systems. A large
number of requests for new and modified reports kept their support desk busy. Recurring reports needed to be
integrated into the system. Addition of new reports to the software as standard functionality took as much as
four months.
Marlabs Solution • Marlabs developed a new reporting platform to seamlessly integrate with the software and enable the
creation of reports, directly by clients on the fly. The platform is an ad-hoc reporting solution called the
“Analyzer.”
• Designed a data mart to extract and load data from the transactional system. A unique data mart was
created for each end-customer based on a uniform data structure. By incorporating a point-and-click
custom reports designer, users can quickly construct their own reports and run them with a click of the
mouse, without needing to know the underlying database structure or SQL.
• Additionally, the reports designer makes possible extensive drilldowns, pivot tables, and slice and dice,
thereby providing rich analytics. With a wide range of operational, analytical, and informational reports, this
configurable utility runs the entire gamut of their reporting needs.
Benefits • Complete flexibility to the user to quickly create custom reports
• Considerably speeds up reports production, from weeks and days to hours and minutes
• Time spent by the support team in managing report requests is significantly reduced
• Resulting savings in time and effort can be better spent in enhancing core product functionality
• The solution is revenue accretive as the utility can be licensed to end-customers
• Enables end-customers to take control of their reporting needs
• Enhanced competitive advantage
Technology
Platform
Microsoft BI Stack, SQL Server integration services, SQL Server analysis services, SQL Server reporting
services

Marlabs Case Study
30
Client Provider of cutting edge analytics and technology solutions
Need Design, develop, and implement the process, rules, and tools that provide the platform for creating innovative,
market-leading global sales and Rx solutions.
Marlabs Solution • Developed a cross-country, global drug product master that included the following major components:
o Data integration for a global product data master with ability to accept multiple formats from global
data partners and provide fact-data projection for specific markets
o Production data warehouse, inclusive of all necessary ETL components with web-based data DQA/
governance portal for ongoing management & maintenance.
o Web-based BI reporting platform built on top of MicroStrategy.
o Web-based pricing platform that can be used by the client and its data partners, to create price quotes
based upon a specified configuration of countries and deliverables.
• Use of innovative algorithms that helped incorporate some key business requirements like Drug
Standardization and Drug Data accuracy.
Benefits • Integrated global product master ensures adaptability and flexibility while linking products across countries.
• Set up interfaces to receive and send data feeds from/ to various systems
• Outlined future product offerings to ensure flexibility built into data model and front-end.
• Business rule updates, additions enabled the system to “learn” over time, thereby minimizing ongoing
maintenance.
Technology
Platform
.NET Framework, Oracle Suite, MicroStrategy

Marlabs Case Study
Client Leading provider of solutions for instant analytics and powerful reporting for pharmaceutical sales, marketing,
and managed care departments.
Need Raw data received from their clients – both internal data as well as data from external sources such as IMS
and Publicis - was processed using their proprietary technology platform. Resulting reports and analytics were
delivered to clients on a periodic basis.
However, the reporting system was not based on an integrated BI architecture. Consequent limitations included
less-than-full automation, need for additional quality checks, and inefficient processes with manual hand-offs.
Furthermore, maintenance of the platform was an additional challenge
Marlabs Solution  Marlabs conducted a Business Process Audit of our client's reporting/analytics procedures. We developed a
new integrated reporting and analytics platform. After building a data mart using a dimensional model, we
incorporated business rules into the data model.
 Every Friday, IMS data is obtained for the previous 110 weeks. From this rolling data, six types of reports are
delivered by the solution including Optimalli and Weekly Prescriber - at territory, area, zonal, and national
levels.
 Unstructured data received is scrubbed and cleaned before being loaded into the data model. Data cleansing is
based on comprehensive business rules that are defined. Huge data volumes are efficiently handled to
generate biweekly, monthly, quarterly, and yearly reports.
 As an extension of the new platform, we are building a portal for sales performance management. With a
dashboard to present key metrics and an organizational scorecard, the portal enables seamless processes for
planning and executing marketing strategy.
Benefits  Crunches large data volumes to rapidly deliver business insight.
 Enables flexibility to change reports at any time or create ad-hoc reports.
 Speeds up reports turnaround through streamlined procedures.
 Increases data quality through data scrubbing and automated rules engines.
 Lowered project costs and increased
Technology Platform  SQL Server, SSIS, SSRS
31

Marlabs Case Study
Client A global specialty provider of insurance and reinsurance
Need  Client had an existing data warehouse and associated BI and reporting system across multiple LOB (Lines of
Business)/ products and wanted help with enhancing existing reports, creation of new complex reports.
 The primary goal of this project is to improve the Cube processing performance.
Marlabs Solution Marlabs supported the client to improve the Cube processing performance. The existing cube takes around 10.5
hours to process . Subsequently the reports were being refreshed only on a monthly basis while the business
would have liked to have them on a daily basis. After performing optimization exercises the cube build time has
reduced to 2-3 hours i.e. an improvement of more than 300%.
 Cube Partitions on Measures/Fact: The Partitions on measures help to efficiently process the fact data and
aggregations using multiple threads. By partitioning the cube measures on the time and data source
processing time was reduced.
 Physical dimension tables: The existing cube structure is designed to process the dimensions from a Database
view; with approximately 100 million records in the view. The cube Dimension processing took approximately
5 hours 30mins. With physical preprocessed dimension tables (an ETL package to process the physical
dimension) it took approx. 60 minutes.
 Usage based optimization: Usage based optimization helped to build aggregations on partitions based on the
history of the queries sent to cube.
 Incremental processing: Process only most recent partition. Daily processing of the current/recent partitions
and monthly processing of history partitions.
Benefits  Faster and improved decision-making.
Technology Platform SQL Server DB, SSIS, SSRS, SSAS
32

Marlabs Case Study
Client A major British financial institution
Need  Understanding the business requirements
 Building data model
 Building around 20 reports out of the data warehouse (Simple & Complex reports).
Marlabs Solution  Marlabs deployed skilled resource for undertaking the development activities as required by Client.
 A detailed project and report development plan was provided within one week of project start based on
interaction with the identified Client Point of Contact and understanding of requirements. This also covered
the actual duration required to complete the project.
 Reports as per project plan finalized with Client.
 Sign off by Client within 1 week of final delivery.
Benefits  Delivered high-fidelity, pixel-perfect reports
 Low TCO
 Fast time-to-value
Technology Platform Oracle BI
33

Marlabs Case Study
Client An American Stock Exchange
Need Revise market surveillance application with more extensive automation.
Marlabs Solution  Built new version of market surveillance application for monitoring and analysis of market data, detecting
unusual trading patterns, and raising alerts for the Market Watch team to launch further investigations.
 Trade data is received through real-time feeds. Response time was critical; alerts have to be generated within
two seconds of pattern detection. Currently under maintenance, the application is undergoing ongoing
enhancements.
Benefits  Simplified processes through increased automation of surveillance procedures.
 Increased scope of surveillance activities by incorporating new patterns and new data feeds such as options
and PHLX.
 Lowered cost of ownership by easing maintenance requirements and resource needs for the updated
application.
Technology Platform SQL Server, MS Access, Oracle, Columbus Document Management System, Greenplum Database
34

Marlabs Case Study
Client An Education Services Company
Need  Create reports, dashboards and scorecards using Cognos and publishing the same to SharePoint.
Marlabs Solution  Key data points that were needed to populate the scorecard metrics and dashboard KPIs were extracted,
transformed and loaded into the existing data warehouse using SQL Server Integration Services.
 Created reports, scorecards and dashboards for the client users to monitor and track the admissions and
enrollment process using ReportStudio and MetricStudio
 Converted the Cognos reports and dashboards into Web Parts that could be integrated into the client’s existing
SharePoint portal
Benefits  Resulted in a significant increase in user adoption.
 Assisted users in making data-driven decisions.
 Identified the key metrics that needed to be tracked.
 Scorecards enabled line managers to track and monitor their actual performances against the planned and
budgeted numbers.
Technology Platform Cognos BI Suite, SQL Server Integration Services, Cognos Connection, SharePoint Server
35

Marlabs Case Study
Client A Retail Services Company
Need  Using R web framework for developing dynamic dashboards using analytical functions for analyzing their sales
performance/distribution
 Deploy and Publish the dashboard thru web services.
Marlabs Solution  Key data points that were needed to populate the scorecard metrics and dashboard KPIs were extracted,
transformed and loaded into the existing data warehouse.
 Created reports, scorecards and dashboards for the client users to monitor and track the sales, stock keeping
and sales force monitoring
 Analytical dashboards/reports were developed using RStudio and R packages and deployed in client server
Benefits  Client was able to analyze their performance on a live basis
 Dynamic web reporting for stock optimization
 Understanding customer behavior using visualizations
 Analytical scorecards to target customers
Technology Platform R, Rstudio, Shiny Web framework
36

Standing apart in the marketplace
Value Proposition
Delivery
Excellence
Domain
Expertise
• Flexible, transparent, and mature engagement models
• Seamless solution integration
• Certification compliance
• Robust Governance
• Strong focus on emerging technologies
• Centers of Excellence (CoEs) for technology proficiency
• Best in class technology and security infrastructure
Customer
Centricity
Investment In
Talent
• US based, IP driven organization with a digital technology focus
• Flexible engagement models with global talent
• Proven record of successful on-site, off-shore and blended
engagements
• Customized solutions and services
• High competence levels in all technologies
• Home grown algorithm for matching resources with customer’s
unique need
• Global training centers: Continuous quality improvement programs
• High retention rates
Higher
Customer
Satisfaction
Excelling
Employees
Project
Certainty
Highest ROI
and Value
37

Variety
Velocity
Volume
 But, loosely structured web-
data (incl. social) is only part
of the story
 Link structured and
unstructured
Increasing Data Volume
Increasing Processing Power
Decreasing Storage Costs
Big Data
The 3 V’s!

1/10th TIME & COST + 0 LEARNING
CURVE
DATA MODELING SOLUTION
Automatic Statistical Data Modeling
DATA ACCESSIBILITY SOLUTION
Natural Language Question Answering
Purchases made last quarter across different
locations?
Automatically and algorithmically identifies entities,
relationships and dependencies by crawling data residing
in multiple different data sources and indexes them.
NO MORE COMPLEX DATA MODELING!
Provides a Natural Language Question Answering
(NLQA) interface to discover, analyze and visualize
data indexed from the various different data sources
NO MORE LEARNING SOFTWARE!
Solution: BI Stack Redefined!
Marlabs - DataRPM
41

DataRPM
Instant
AnswersTM
Platform
Hyper Smart
Data Modeling
Hyper Fluid
Data Lakes
Hyper Fast
Data Discovery
Hyper Aware
Natural Search
Accelerate data prep & integration cycles.
Reduce costs with speed and automation.
Connect data from multiple sources.
Access your data in a more agile way.
Navigate your data visually, in real-time
Built for serendipity, works at pace of
thought.
Explore your data with greater ease.
Extend your data to a wider audience.
Discovery
Integrate
Explore
Product Includes Benefits Business
Transformation
The Value We Deliver
Marlabs - DataRPM
42

Different Generations Of Business Intelligence Solutions
Traditional Data Discovery & Vis. Big Data Visualization Cognitive & Semantic
1st 2nd 3rd 4th
EXAMPLES: EXAMPLES: EXAMPLES: EXAMPLES:
Cloud/SaaS BI Cusp
Partial Cusp
Pseudo NLP (LookML)
No Auto Data Modeling
Auto Data Modeling
No NLQA / NLP
Highest TCO and Longest
Implementation
Manual Data Modeling (Needs Professional Services)
Traditional Relational Data Warehouse
Manual Report Creation For Analysis
Manual Static Cubes / No Ad-Hoc
Vertical Scale / Expensive Infrastructure
Requires Training & Certification
To Use
High TCO and Long Implementation
Big Data / Hadoop Data Warehouse
Dynamic Cubes / Ad-Hoc Analysis Based on Modeled Data
Mixed Approach of Vertical & Horizontal Scaling
Moderate To Significant Learning Curve Depending On User Role
Lowest TCO & Shortest
Implementation
AUTOMATION of Data Modeling
No Warehouse Dependency
Natural Language Question
Answering
No Cubes / Complete Ad-Hoc
Horizontal Scale on Cheap
Hardware
ZERO Or Nominal Learning Curve
Competitive Landscape
Marlabs - DataRPM
43

Ask a question in natural
language
Get results automatically with
dynamic visualizations
Suggestive drill-downs and
slice-dice in any relevant
direction
Begin by simply pointing
DataRPM to the data sources
and the attributes of interest
and let DataRPM data crawlers
index the data.
Live in minutes, hours or days..
Introducing Cognitive BI
Marlabs - DataRPM
44

Data Discovery
Marlabs - DataRPM
45

Data Discovery
Marlabs - DataRPM
46

VISUALIZATION Collaboration
BI Stack Re-Invented For Big
Data Discovery Across Multiple
Data Source.
Algorithms For Data
Integration, Query And
Visualization.
Horizontally Scalable In Cheap
Commodity Hardware.
Fully Ad-Hoc Query Support.
Real-time Query Processing
Without Cubes.
SaaS-Efficient Delivery For
Cloud, Hybrid, On-Premises
SaaS Solution
On Premises
Deployment Workflows Monitoring
DATA MODELING
GRAPH
SEARCH INDEX
COMPUTATIONAL
SEARCH ANALYTICS
NLP Query Understanding Entity Mapping
Query Processor
Distributed Aggregation Suggestive
JIT In-Memory
Distributed Binary Segments Data Security
Connectors
Entities / Relationships / Attributes Extraction
Statistical Data Modeling
Technology Landscape
Marlabs - DataRPM
47

Hadoop Solutions
Big Data
48
Standard Hadoop
interface – Easily
add capabilities
from multiple
sources
ODP Core
Free and is
composed entirely
of open source
Apache Hadoop
related projects.
Open
Platform
with
Apache
Enterprise Hadoop
product ecosystem
for Data Science,
Management,
Security, and
Integration
Hadoop
Ecosystem
Scalable
Add new servers and
resources to your cluster
without disturbing the
dependent analytic
workflows and applications
Low-cost
Commodity Servers
connected in parallel
radically reduce the cost
of storing and modeling
your data
Fault tolerant
When a node goes
down, the system
automatically redirects
work and continues
processing
Flexible
Because Hadoop is
schema-free, it can
manage structured and
unstructured data with
ease enabling deep
analysis.

Hadoop Knowledge Framework
Big Data
49
Storage Hadoop Hive HBase
Batch/
Workflow
Pig Sqoop Oozie
Real-time/
CEP
Flume Storm Kafka
Cluster
Management
Zookeeper YARN Mesos
In-memory Spark
SQL Layer Impala Phoenix Stinger
Provisioning Ambari
Cloudera
director

Contact Us
50
USA
New Jersey
Marlabs Inc. (Global Headquarters)
One Corporate Place South, Floor 3,
Piscataway NJ 08854 - 6116
Tel: +1 (732) 694 1000
Fax: +1 (732) 465 0100
Email: contact@marlabs.com
India
Bangalore
Marlabs Software (P) Ltd.
Bagmane World Technology Center,
14th Floor, Citrine Block - 4,
Marathahalli Outer Ring Road, Mahadevapura,
Bangalore – 560 048
Tel: +91 (80) 67229400/700
Canada
Marlabs Canada Incorporated
1235, Bay Street, Suite 400
Toronto Ontario M5R 3K4
Tel: +1 (416) 934 5005
Mysore
# 462, A & B Block, Udayaravi Road,
Kuvempunagar,
Mysore - 570023
Tel: +91 (821) 4000200
# 469, A & B Block,
Udayaravi Road, Kuvempunagar,
Mysore - 570023
Tel: +91 (821) 4191450
Mexico
Marlabs Technology Services
Av. Patriotismo 229 Piso 8
Col. San Pedro de los Pinos
Mexico, D. F. C. P. 03800
Tel: +1 (732) 694 1000 ext.6011
Kochi
"Athulya", 2nd Floor, Infopark
Kusumagiri P.O. Kakkanad
Kochi - 682 030
Trans Asian Corporate Park,
XIV/396-C, Seaport Airport Road,
Chittethukara,Kakkanad
Kochi - 682 037
Ph: +91 (484) 6062885/886

Marlabs Capabilities Overview: DWBI, Analytics and Big Data Services

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