Big Data Use Cases. To Start Today. Paul Scholey Sales Director, EMEA. 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866)

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1 Big Use Cases To Start Today Paul Scholey Sales Director, EMEA 1

2 Exabytes of We all know the amount of data in the world is growing exponentially YOU ARE HERE FROM 2010 TO % of data relevant to enterprises will be unstructured Source: IDC s Digital Universe Study, sponsored by EMC, December

3 WHAT WE DO We enable the modern, big data-driven business Modern, cohesive data integration and business analytics platform Full spectrum through advanced analytics for all key roles Embeddable, cloud-ready analytics Big data blending for analytics in real-time environments Broadest and deepest big data integration Innovation through open source Open, pluggable, purpose-built for the future Early sustained leadership in big data ecosystem with technology innovation Critical mass achieved Over 1,200 commercial customers Over 10,000 production deployments 3

4 Optimize Business Impact Transform A Spectrum of Big Use Cases What the Market is Deploying Today and Planning for Tomorrow Streamlined Refinery Harnessing Machine & Sensor Customer 360 Degree View Big Predictive Analytics Next Generation Applications Warehouse Optimization Internal Big as a Service On-Demand Big Blending Big Exploration Entry Use Case Complexity Advanced 4

5 Warehouse Optimization Hundreds of Enterprise Sources Customer & Account Master Cash Processing Scalable Enterprise Hub Hadoop Cluster Internal User Reporting & Mining Payments Other Financial Apps Historical Mart Marts Clients Statements, Balance, Transaction Reporting & Analytics 5

6 Streamlined Refinery Drive a Sustainable Analytics Strategy with Big ETL at Scale Why Transactions Batch & Real-time Analyzer Provides full platform for this use case broad data integration (incl. leading Hadoop distros and analytical DBs) and powerful array of front-end analytics Enrollments & Redemptions Hadoop Cluster Analytical base Reports Visual map/reduce mitigates need for developers, makes Big accessible to all IT staff Location, , Other Pentaho map/reduce runs much faster in the cluster vs. other scripting tools Reference Architecture Notes B2B electronic marketing firm that creates and delivers personalized offers Most data sources ingested via Hadoop, processed, and sent to analytical database with a business analytics front end Based on Forrester The Patterns of Big (2013) Note analytical database could be replaced with data warehouse in this case, depending on volume of queries/users and related SLAs 6

7 Customer 360 Degree View A Blended View to Drive Revenue Growth and Service Improvements Why CRM System Ability to blend traditional data sources with Big Documents & Images NoSQL Call Center View Rapid time to value through drag/drop visual development for Big integration Admin. Info Research Analysts Adaptive Big layer guards system from changing Big versions reduces risk Claims Online Interactions Predictive Analytics Comprehensive analytics: visualizations, reports, dashboards, ad hoc analysis Reference Architecture Notes Financial services company: Ingest data from various sources into single Big store, then processes and summarizes data at customer unique ID level Information is available in call center application for service, accessible by research analysts, and leveraged in predictive applications as well Pentaho Integration can ingest into NoSQL, pull out of NoSQL, and connect to Pentaho Business Analytics for end user needs 7

8 Monetize My Sell enriched and de-identified data sets to external marketing customers What is it? Sensor, location and activity data have marketing value when combined, refined and delivered as new data sources to 3 rd -party businesses for a fee For example, location data from mobile handsets can be combined with demographics and time-of-day to support retail siting decisions Why Do It? Generate new sources of revenue Defend brick & mortar businesses against information-services competitors Key Considerations Utilizes Hadoop for large-scale ETL, analytical databases for performance Requires operational excellence and computing economies of scale Tech fit: Hadoop, data services, platform capabilities and consumer-grade analytics 8

9 A future-proof data foundation Big data blended without barriers Powerful analytics simplified for any role 9

10 Thank You JOIN THE CONVERSATION. YOU CAN FIND US ON: Facebook.com/Pentaho Pentaho Business Analytics 10

11 The strength of Pentaho lies in the power of combination integration Big data The IT department Business analytics Any data Lines of business Any data. Any environment. Any analytics. 11

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