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2 BIG DATA TRANSFORMS BUSINESS Antti Mäkinen 2

3 IN 2000 THE WORLD GENERATED TWO EXABYTES OF NEW INFORMATION Sources: How Much Information? Peter Lyman and Hal Varian, UC Berkeley, IDC Digital Universe Study. 3

4 2011 IN 2000 THE WORLD GENERATED TWO EXABYTES OF NEW INFORMATION EVERY DAY Sources: How Much Information? Peter Lyman and Hal Varian, UC Berkeley, IDC Digital Universe Study. 4

5 ALL DATA IS BIG Sources: How Much Information? Peter Lyman and Hal Varian, UC Berkeley, IDC Digital Universe Study. 5

6 DATA = MONEY Sources: How Much Information? Peter Lyman and Hal Varian, UC Berkeley, IDC Digital Universe Study. 6

7 What s Driving The Data Deluge? FACEBOOK UPLOADS 250 MILLION PHOTOS EACH DAY Mobile Sensors Social Media Video Surveillance Video Rendering READING SMART METERS EVERY 15 MINUTES IS 3000X MORE DATA INTENSIVE OIL RIGS GENERATE DATA POINTS PER SECOND COST TO SEQUENCE ONE GENOME HAS FALLEN FROM $100M IN 2001 TO $10K IN 2011 Smart Grids Oil Exploration Medical Imaging Gene Sequencing 7

8 The Value Of Data Is Growing New Business Models Are Based On Data! 1,000,000,000 Queries / Day 250,000,000 New Photos / Day 290,000,000 Updates / Day 4,000,000 Claims / Day 2,800,000,000 Trades / Day 31,000,000,000 Interactions / Day 8

9 VELOCITY VARIETY VOLUME Sources: How Much Information? Peter Lyman and Hal Varian, UC Berkeley, IDC Digital Universe Study. 9

10 How Companies Are Using Big Data Functional Areas Where Companies Do, And Should, Focus On Using Big data And Analytics To Improve Overall Performance Ideally Currently Customer insights, segmentation, or targeting Budgeting, forecasting, or planning Operations, service delivery, or supply chain management Customer service/support Performance management & transparency in internal operations New product strategies Pricing Automation of common or straightforward decisions Improvements to R&D processes % McKinsey Global Survey of 1,469 C-level executive respondents at a range of industries and company sizes, Minding Your Digital Business,

11 ANALYZE STORE INTEGRAT E SOURCE BI + Reporting Crystal, BO Analytic Modeling SAS, SPSS Content Manager EMC Documentum Data Warehouse Oracle, DB2, SQL Svr ETL Informatica Master Data Manager Oracle, SAP Xactional Data Mgr DB2, Oracle, SQL Svr File Manager CIFS / NFS Batch oriented, with high latency Monolithic, with inflexible layers Brittle & labor intensive (metadata jailhouses) Mainly focused on structured data Performance and scalability challenged Information integration requires coding Information stored aggregated for specific reports 11

12 Business Agility? Operationalize for Impact More, Faster, Better Causality, Predictors Correlation, Patterns Data 12

13 The Journey To Big Data 1 CLOUD 13

14 New Technology Ecosystem for Big Data Low latency Agile & organic Federated Metadata driven Integrated Scalable Secure, multi-tenant Services based Intermediating Policy based Auditable Application Fabric Analyze and Classify Information Fabric Integrate and Transform Data Plane Source and Store Governance Processes Ensure Quality, Resolve Ontologies, Enforce Contracts INFO SERVICE BUS Dynamicall y Orchestrate d Services Workflows Itineraries Messages + ADDITIONAL INTEGRATION Security PATTERNS Pub-Sub Web Services REST EMC IITS Architectur ODBC, JDBC e ETL, ETLT, LET 14

15 The Journey To Big Data 1 2 CLOUD SOCIAL 15

16 DATA SCIENCE THE NEW TEAM DRIVING BIG DATA 16

17 Legacy Analytics Process 1. Find The Data 3. Learn About The Data 4. Move To Sandbox 2. Get Access To Data 6. Operationalize The Model 5. Analysis Finally! 17

18 Self-Service And Collaborative Analytics 18

19 The Journey To Big Data CLOUD SOCIAL AGILE 19

20 Agility Easy To Build A Tool For Non-Programmers! Drag & Drop Process Modeling Better, Faster Decisions Deliver The Latest Data Enable Contextual Decisions Complete Audit Trail Keep IT Audit Happy! Reduce Information Risk 20

21 The Journey To Big Data 1 TRANSITION TO A PREDICTIVE ENTERPRISE 2 3 CLOUD SOCIAL AGILE 21

22 THANK YOU 22

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