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Oracle End-to-End Analytics Across Big Data and Data Warehouse for Data Monetization

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End-to-End Analytics Across Big Data and Data Warehouse for Data Monetization [CON3296]
Satya Bhamidipati, Senior Principal Advanced Analytics Market Development, Business Analytics Product Group, Oracle
Gokula Mishra, VP, Big Data & Advanced Analytics, Oracle
Organizations have used data warehouses to manage structured and operational data, which provides business analysts with the ability to analyze key internal data and spot trends. However, the explosion of newer data sources (big data) not only challenges the role of the traditional data warehouse in analyzing data from these diverse sources but also exposes limitations posed by traditional software and hardware platforms. This newer data can be combined with the data in the data warehouse and analyzed without creating another data silo and creating a hybrid data analytics structure. This presentation discusses the data and analytics platform architecture that enables this data monetization and presents various industry use cases.

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Oracle End-to-End Analytics Across Big Data and Data Warehouse for Data Monetization

  1. 1. End-to-End Analytics Across Big Data and Data Warehouse for Data Monetization CON3296 Satya Bhamidipati, Senior Principal, Advanced Analytics Gokula Mishra, VP, Big Data & Advanced Analytics @GokulaMishra Business Analytics Product Group October 26, 2015 Oracle Confidential – Internal/Restricted/Highly RestrictedCopyright © 2015, Oracle and/or its affiliates. All rights reserved. |
  2. 2. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. Oracle Confidential – Internal/Restricted/Highly Restricted 3
  3. 3. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Program Agenda Drivers for End-to-End Use Cases End-to-End Analytics Q&A 1 2 3 4 Oracle Confidential – Internal/Restricted/Highly Restricted 4
  4. 4. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Program Agenda with Highlight Drivers for End-to-End Use Cases End-to-End Analytics Q&A 1 2 3 4 Oracle Confidential – Internal/Restricted/Highly Restricted 5
  5. 5. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Data-Driven Decisions #1 for execs1 Analytics key to growth, competitive advantage2 Firms that adopt DDD perform better than firms that don’t 1Gartner 2014 CEO Study, CIO Magazine Study 6 2MIT Study “Strength in Numbers”
  6. 6. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Businesses • 90% created in last two years • 50 billion devices by 2020 • Governance, risk and complexity 7
  7. 7. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | 8 Data & Analytics Creates New Value
  8. 8. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 99 Data & Analytics Disrupts Industries
  9. 9. Copyright © 2014, Oracle and/or its affiliates. All rights reserved.Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | 10 Bigger Smarter Easier CheaperBetter Faster VALUE IN ANY FORM
  10. 10. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Speed over consistency Visual data discovery Embedded analytics 11 Business user demands are changing
  11. 11. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 12 IoT Cloud MobileSocial Data & Analytics Digital Demands End-to-End Digital Forces Powering Growth and Innovation
  12. 12. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Key Components of End-to-End Analytics SELF SERVICE REPORTS QUALITY & GOVERNANCE DISCOVERY & VISUALIZATION ANALYTICS AT SCALE UNIVERSAL DATA ACCESS
  13. 13. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Oracle Confidential – Internal/Restricted/Highly Restricted 14 1. How and what new data sources are being created that is very important and relevant to you? 2. Are you combining data and analytics to drive new insight? 3. Are you building a data analytics platform that allows for experimentation, self-service as well as SCALE end-to-end? 4. Are your analytics aligned with user analytics maturity? 5. How will you govern data and analytics end-to-end? Five Questions…
  14. 14. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Program Agenda with Highlight Drivers for End-to-End Use Cases End-to-End Analytics Q&A 1 2 3 4 Oracle Confidential – Internal/Restricted/Highly Restricted 15
  15. 15. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Creating Value with Data Combining New Data Oracle Confidential – Internal/Restricted/Highly Restricted 16 Combat Fraud Near real Time Data External Data
  16. 16. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Creating Value with Data Business Insight Oracle Confidential – Internal/Restricted/Highly Restricted 17 • Accelerate Insights High Performance Analytics Customer Segmentation
  17. 17. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Creating Value with Data Optimization Oracle Confidential – Internal/Restricted/Highly Restricted 18 Optimize Offerings Large Volumes Complex Algorithms
  18. 18. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Creating Value with Data IOT Oracle Confidential – Internal/Restricted/Highly Restricted 19 Improve Safety Maintenance Data Sensor Data
  19. 19. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Creating Value with Data Customer 360 Oracle Confidential – Internal/Restricted/Highly Restricted 20 Online Interaction Real Time DecisionsImprove Service
  20. 20. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Program Agenda with Highlight Drivers for End-to-End Use Cases End-to-End Analytics Q&A 1 2 3 4 Oracle Confidential – Internal/Restricted/Highly Restricted 21
  21. 21. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Predictive Analytics Oracle Confidential – Internal/Restricted/Highly Restricted 22
  22. 22. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Data Mining Provides Better Information, Valuable Insights and Predictions Customer Months Cell Phone Churners vs. Loyal Customers Insight & Prediction Segment #1 IF CUST_MO > 14 AND INCOME < $90K, THEN Prediction = Cell Phone Churner Confidence = 100% Support = 8/39 Segment #3 IF CUST_MO > 7 AND INCOME < $175K, THEN Prediction = Cell Phone Churner, Confidence = 83% Support = 6/39 Source: Inspired from Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management by Michael J. A. Berry, Gordon S. Linoff R
  23. 23. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Data Challenges and Analytics • Diverse Data Types • Extremely Large Volumes • Complex Algorithms • 3D Visualization • Simulation • Highly scalable computing power Oracle Confidential – Internal/Restricted/Highly Restricted 24
  24. 24. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Traditional Approach for Analysis • Define the business challenge • Data Preparation – Identify – Extract Data – Ingest Data • Build model • Deploy Model • Visualize the Results Oracle Confidential – Internal/Restricted/Highly Restricted 25
  25. 25. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Analytics Process Oracle Confidential – Internal/Restricted/Highly Restricted 26 Data Analyze Business Objective
  26. 26. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Oracle Solution • Data in the Database • Added Algorithms • Visual Interface Oracle Confidential – Internal/Restricted/Highly Restricted 27 User tables Oracle Database Database Compute Engine ?x
  27. 27. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Analytic Methods Oracle Confidential – Internal/Restricted/Highly Restricted 28 Classification Regression Anomaly Detection Attribute Importance Association Rules F1 F2 F3 F4 K Means Linear regression Naïve Bayes Neural Networks Support Vector Machines Singular Value Decomposition Principle Component Analysis
  28. 28. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Analytics on Hadoop Big Data Appliance Oracle Confidential – Internal/Restricted/Highly Restricted 29
  29. 29. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Requires a Fundamentally New Approach 30 quickly transform and enrich it to make it better unlock big data for anyone to discover and share new value A single intuitive and visual user interface, to... find and explore big data to understand its potential find explore transform discover share
  30. 30. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | 31 Oracle Big Data Discovery. The Visual Face of Hadoop find explore transform discover share
  31. 31. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Analytics on Hadoop Oracle Confidential – Internal/Restricted/Highly Restricted 32 BDD
  32. 32. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | End to End Analytics Oracle Confidential – Internal/Restricted/Highly Restricted 33 ?x User tables Oracle Database Database Compute Engine Connectors Connectors
  33. 33. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Oracle Advanced Analytics—Best Practices 1. Start with a Business Problem Statement 2. Don’t Move the Data 3. Assemble the “Right Data” for the Problem 4. Create New Derived Variables 5. Be Creative in Analytical Methodologies 6. Quickly Transform “Data” to “Actionable Insights” 7. Automate and Deploy Enterprise-wide Everything is Different; Nothing is Different
  34. 34. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Today’s Evolving Analytics Infrastructure Data Fast Data Events Actions 1 2 3 Streams Data Management Reservoir Factory Warehouse Results People Data Services Smart Things Data Lab Data ScienceDiscoveryData Sets Apps Packaged Custom Business Analytics Visualization Reports
  35. 35. 36 • Built for cloud with enterprise class software • Business driven self-service • Advanced visualizations including mobile • Fast cloud based data loading & metadata modelling Most Complete BI Cloud Service BICS BDDCS (Future)
  36. 36. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Program Agenda with Highlight Drivers for End-to-End Use Cases End-to-End Analytics Q&A 1 2 3 4 Oracle Confidential – Internal/Restricted/Highly Restricted 38
  37. 37. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Q & A Oracle Confidential – Internal/Restricted/Highly Restricted Gokula Mishra @GokulaMishra gokula.mishra@oracle .com Satya Bhamidipati Satya.Bhamidipati@oracle.com.

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