Marlabs Capabilities Overview: DWBI, Analytics and Big Data Services

2. • 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

3. 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 Global Development Center & CoE Infopark, Kochi, India • Global Development Center • Centers of Excellence

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

5. 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

7. 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

8. 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

9. DW/BI, Analytics and Big Data

10. 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

11. 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

12. 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.

13. 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

14. 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

15. • Campaign Media Analysis • Customer Segmentation • 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 • Customer Segmentation • 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

16. 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

17. Marlabs Big Data Analytics and Hadoop

18. 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

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

20. 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

21. Marlabs Case Studies 21

22. 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

23. 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.

24. 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

25. 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

26. 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.

27. 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

28. 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

29. 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

30. 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

31. 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

32. 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

33. 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

34. 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

35. 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

36. 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

37. 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

38. THANK YOU 38

39. Marlabs Big Data Analytics and Hadoop

40. 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!

41. 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

42. 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

43. 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

44. 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

45. Data Discovery Marlabs - DataRPM 45

46. Data Discovery Marlabs - DataRPM 46

47. 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

48. 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.

49. 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

50. 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 Email: contact@marlabs.com Canada Marlabs Canada Incorporated 1235, Bay Street, Suite 400 Toronto Ontario M5R 3K4 Tel: +1 (416) 934 5005 Email: contact@marlabs.com Mysore Marlabs Software (P) Ltd. # 462, A & B Block, Udayaravi Road, Kuvempunagar, Mysore - 570023 Tel: +91 (821) 4000200 Email: contact@marlabs.com Marlabs Software (P) Ltd. # 469, A & B Block, Udayaravi Road, Kuvempunagar, Mysore - 570023 Tel: +91 (821) 4191450 Email: contact@marlabs.com 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 Email: contact@marlabs.com Kochi Marlabs Software (P) Ltd. "Athulya", 2nd Floor, Infopark Kusumagiri P.O. Kakkanad Kochi - 682 030 Email: contact@marlabs.com Marlabs Software (P) Ltd. Trans Asian Corporate Park, XIV/396-C, Seaport Airport Road, Chittethukara,Kakkanad Kochi - 682 037 Ph: +91 (484) 6062885/886 Email: contact@marlabs.com

51. THANK YOU 51

Marlabs Capabilities Overview: DWBI, Analytics and Big Data Services

Marlabs Capabilities Overview: DWBI, Analytics and Big Data Services

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Marlabs Capabilities Overview: DWBI, Analytics and Big Data Services