Copyright 2012 EMC Corporation. All rights reserved.

Transcription

1 1

2 USING GREENPLUM S UNIFIED ANALYTICS PLATFORM TO DELIVER BI-AS-A- SERVICE 2

3 The Journey To Big Data 1 2 Data All Data Faster Answers Elastic & Scalable Science Collaboration Self-Service 3 Real Time Decisions New Applications Data Monetization Agile Process & Tools Big Data Enabled Apps Analytics Engines Analytic Productivity Platform Cloud Infrastructure Big Data Infrastructure Technology Focus Agile Analytics People & Productivity Focus Predictive Enterprise Application Focus 3

4 BI Strategy & Objectives (circa 2008) Define common data model and single version of truth for key enterprise data Establish Central Data Hub For BI And Analysis Modernize And Consolidate BI Platforms Master Data For Customer, Product, Person, Conformed Dimensions All Marts Feed From The Core Eliminate Functional Warehouses Apply Business Rules In One Place BI Grid On VMAX Consolidation Of Regional Instances Rationalize And Standardize BI Tools Define Governance And Organization Model BI Program Management Office Pooled BI Resource Model Global Delivery Model BI Architects $4.5 M in IT Savings Over 13K users $17M in Business Value 4

5 The Journey To Big Data All Data Faster Answers Elastic & Scalable 1 2 Data Consolidation of islands of Information Master Data Science Collaboration Self-Service Agile Process & Tools 3 Real Time Decisions New Applications Data Monetization Big Data Enabled Apps Analytics Engines Cloud Infrastructure Big Data Infrastructure Technology Focus 2010 Common BI Tools BI Governance Analytic Productivity Platform Agile Analytics People & Productivity Focus 2012 Predictive Enterprise Application Focus

6 Constantly Evolving Landscape EMC Outgrowing Capabilities Of Standard Reporting Solutions Unstructured Data, Data Mining And Predictive Modeling Functionality Mobile Workforce Demanding Constant Access Business Demand For Information Skyrocketing Shortage Of Skilled Resources Data Architects At A Premium Request Backlog Driving Shadow IT Big Data Technologies Greenplum, SAS, SAP (BOBJ, HANA) 6

7 BI Strategy & Objectives (Circa 2012) BI As A Service (BIaaS) And Self Service Reporting Evolve Our Big Data Analytics Capabilities Focus On Data Quality / Data Governance Continue To Expand Information Coverage Accelerate Time To Value Enables Rapid Adjustment To Changing Business Rapid Prototyping To Prove Value Improve User Experience GP UAP Hadoop / Text Analytics / Collaboration Build Data Scientist Skills Predictive Analytics Mobile BI Informatica Data Quality Tools Master Data Management For Customer, Product, Vendor Enterprise Business Glossary Enterprise Data Governance Program Data Integration Policy For Acquisitions New Subject Areas; Manufacturing, Engineering, Etc. Data Integration Templates 7

8 BIaaS Balancing Business Needs With IT IT Business Monitor And Manage IT Assets Control Creation And Distribution Of BI Assets DAta Governance And Security Faster To Deploy With Lower Cost Self-directed Decision Making Results Easy To Consume Easy To Use, Easy Access To Data 8

9 BI-As-A-Service (BIaaS) Defined Consulting Training Setup & Config Solution Development Data Integration Data Visualization Solution Design Resources Available To Assist With Any Aspect Of Development Process. BI Tools Microsoft SAS Business Objects BYOT IT Supported BI Tools Available For Development Or Bring Your Own. Data Analytics Sandbox Greenplum Highly Scalable Data Analytics Platform Pre-populated With EMC Enterprise Data. Data Integration Data Services Informatica GP External Tables Tools For Loading Enterprise And BU Data For Analysis 9

10 BI-As-A-Service Use Cases Proof of Concepts/ Pilots Requirements not well defined Hypothesis testing Conference Room Pilots Test a solution prior to BU or Enterprise deployment One Time Analysis M&A analysis New product launch profitability modeling Evaluate success of a marketing campaign Unique BU Requirements Solution limited to single BU or Department Uses data that is specific to a business or department Business needs interim solution until enterprise adapts - Post M&A integration, Product line changes, Org changes 10

11 Business And IT Value Proposition Business Benefits Same Flexibility As Cloud / Saas Offering At Competitive Price Point Pre-populated With Critical Enterprise Data Empowers The Business Analysts Accelerates Time-to-market Supported By IT Organization That Understands Your Business And Your Data No Longer Burdened With The Platform Support And License Management Easy Migration From Business To IT Supported As Required $50k - $150K Annual Savings When Compared To Traditional Approach IT Benefits IT Benefits Better Understanding Of Business Requirements Ability To Enforce Data Security Standards More Efficient Use Of EMC Assets Better Ability To Ensure Adherence To Corporate Standards Optimization Of Scarce Resources 11

12 Our BI-As-A-Service Architecture Dashboards Workspa ce BU App Reports Global Data Warehouse Workspa ce Mobile BU App 15TB Data : 50GB / Day : 40K Queries : > 1800 tables BIaaS Data Visualization Data Integration Component Data Hosting Component Reporting & Analytics Component 12

13 BI SaaS Provider Comparison Feature Rich And Cost Competitive Features BIaaS BIaaS Services BIaaS BIaaS Cost Support 13

14 An Organizational Evolution Is Underway Imperative Business And Financial Management IT Service Management New Engagement Model Services and Consulting Analytics- As-A-Service BI Platform- As-A-Service Solution Design- As-A-Service Data Integration- As-A-Service Data Visualization New Roles Emerging Data Science Data Quality Traditional Roles Are Still Essential ETL Data Architecture Report / Dashboard DBA 14

15 The Journey To Big Data All Data Faster Answers Elastic & Scalable 1 2 Data Consolidation of islands of Information Master Data Science Collaboration Self-Service BI-As-A-Service Agile Process & Tools Data Scientist Services 3 Real Time Decisions New Applications Data Monetization Big Data Enabled Apps Analytics Engines Cloud Infrastructure Big Data Infrastructure Technology Focus 2010 Common BI Tools BI Governance Collaborative Analytic Tools Analytic Productivity Platform Unified Analytical Platform Agile Analytics People & Productivity Focus 2012 Predictive Enterprise Application Focus

16 Continuing The Journey Embed Advanced Analytics Into The Business Full Lifecycle Product Quality Data Center Analytics (Sensors) Real Time Security Analytics Real Time Data Updates Hadoop And Text Mining Capabilities Education 16

17 The Journey To Big Data All Data Faster Answers Elastic & Scalable 1 2 Data Consolidation of islands of Information Analytics Engines Cloud Infrastructure Big Data Infrastructure Technology Focus 2010 Master Data Common BI Tools BI Governance Science Collaboration Self-Service Agile Process & Tools Analytic Productivity Platform 2012 BI-As-A-Service Data Scientist Services Collaborative Analytic Tools Unified Analytical Platform Agile Analytics People & Productivity Focus 3 Real Time Decisions New Applications Data Monetization Big Data Enabled Apps Advanced Predictive Analytics With Business Units Deep Data Center Analytics Advanced Security Analytics Predictive Enterprise Application Focus

18 Lessons Learned Have An Organization/Skills Plan Invest In An Analytics Skills And Roles Be Prepared For The Culture Change IT Becomes A Key Enabler For BIaaS Brings More Business Not Less 18

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20 THANK YOU 20

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