Leveraging Analytics to Drive Breakthrough Business Outcomes

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This presentation talks about how organisations can leverage forward-looking, high-performance analytics to make the most out of their newest and important asset class: 'Data'. It was presented by Ashit Panjwani, Executive Director - Sales, Marketing & Alliance, SAS India at 'CIO - The Year Ahead 2014' - Kochi, India.

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Leveraging Analytics to Drive Breakthrough Business Outcomes

  1. 1. LEVERAGING ANALYTICS TO DRIVE BREAKTHROUGH BUSINESS OUTCOMES C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  2. 2. GOOGLE TRENDS ANALYTICS 100 Internet of Things Big Data 90 Hadoop 80 Analy cs 70 60 50 40 30 20 10 C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . 3 Ja n 20 1 2 Ja n 20 1 1 Ja n 20 1 0 Ja n 20 1 9 Ja n 20 0 8 20 0 n Ja Ja n 20 0 7 0
  3. 3. GOOGLE TRENDS BIG DATA 100 Internet of Things Big Data 90 Hadoop 80 Analy cs 70 60 50 40 30 20 10 C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . 3 Ja n 20 1 2 Ja n 20 1 1 Ja n 20 1 0 Ja n 20 1 9 Ja n 20 0 8 20 0 n Ja Ja n 20 0 7 0
  4. 4. GOOGLE TRENDS HADOOP 100 Internet of Things Big Data 90 Hadoop 80 Analy cs 70 60 50 40 30 20 10 C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . 3 Ja n 20 1 2 Ja n 20 1 1 Ja n 20 1 0 Ja n 20 1 9 Ja n 20 0 8 20 0 n Ja Ja n 20 0 7 0
  5. 5. GOOGLE TRENDS INTERNET OF THINGS 100 Internet of Things Big Data 90 Hadoop 80 Analy cs 70 60 50 40 30 20 10 C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . 3 Ja n 20 1 2 Ja n 20 1 1 Ja n 20 1 0 Ja n 20 1 9 Ja n 20 0 8 20 0 n Ja Ja n 20 0 7 0
  6. 6. GOOGLE TRENDS INTEREST IN DATA IS AT AN ALL-TIME HIGH 100 Internet of Things Big Data 90 Hadoop 80 Analy cs 70 60 50 40 30 20 10 C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . 3 Ja n 20 1 2 Ja n 20 1 1 Ja n 20 1 0 Ja n 20 1 9 Ja n 20 0 8 20 0 n Ja Ja n 20 0 7 0
  7. 7. GLOBAL CHALLENGE FOCUS BEYOND THE HERE AND NOW Executive leadership must focus concurrently on 3 time horizons: 1. They must make the effective. 2. They must identify and realize the . 3. They must make the present business into a for a different future. - Peter Drucker C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  8. 8. INNOVATE & OPTIMIZE C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  9. 9. INNOVATION  New ways of thinking. New strategies.  “Best Practices” vs. “Next Practices”.  Beyond improving on what already exists.  Involves risk and disruption. C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  10. 10. OPTIMIZATION  Process improvements.  Cost cutting. Reallocation of resources.  Let go of what you shouldn’t be doing.  Too much may challenge long-term viability. C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  11. 11. STRATEGIC VALUE OF DATA WHAT ROLE DOES DATA PLAY IN YOUR ORGANIZATION? How can I use my company’s data to create new products and services? How can I partner with other organizations to share data for a new business initiative? How can I enter a new market or even create a new market using company data? C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  12. 12. INFORMATION CHALLENGES MANAGEMENT • • • • C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . Demand on data is increasing Complexity of data usage is growing Expansion of the user base Demand for quick response is growing
  13. 13. DATA CHALLENGES 4 V’S Volume. Velocity. Variety. Validity C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  14. 14. BIG DATA AND KEY CONSIDERATIONS ANALYTICS C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  15. 15. BIG DATA AND KEY CONSIDERATIONS ANALYTICS Analytics  Structured data  Unstructured data  Information management  “Big Data” C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . Platforms
  16. 16. BIG DATA AND KEY CONSIDERATIONS ANALYTICS Data  Which kind?  Predict outcomes  Quantifiable benefit Platforms C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  17. 17. BIG DATA AND KEY CONSIDERATIONS ANALYTICS Analytics Data  The “Cloud”  Grid  In-Database  High Performance Analytics C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  18. 18. EIGHT LEVELS OF ANLAYTICS C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  19. 19. 4 3 2 1 C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . ALERTS Answer the questions: When should I react? What actions are needed now? QUERY DRILLDOWN (OR OLAP) Answer the questions: Where exactly is the problem? How do I find the answers? AD HOC REPORTS Answer the questions: How many? How often? Where? STANDARD REPORTS Answer the questions: What happened? When did it happen?
  20. 20. OPTIMIZATION 8 Answer the questions: How do we do things better? What is the best decision for a complex problem? PREDICTIVE MODELING 7 Answer the questions: What will happen next? How will it affect my business? FORECASTING 6 Answer the questions: What if these trends continue? How much is needed? When will it be needed? STATISTICAL ANALYSIS 5 C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . Answer the questions: Why is it happening? What opportunities am I missing?
  21. 21. BETTER DECISIONS ARE THE GOAL OF ANALYTICS Reports Portals C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . Decisions! Scorecards Drill-down
  22. 22. BUSINESS ANALYTICS FRAMEWORK C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  23. 23. BUSINESS ANALYTICS BANKING Risk Customers Financial Crimes Identification Customer Profitability & Lifetime Value Market Risk Management Acquisition & Retention Credit Risk Management Cross-Sell/Up-Sell & Event Triggers Operational Risk Management Campaign Management & Optimization Finance Operations Legal & Financial Consolidation & Reporting Workforce Planning & Management Capital Allocation & Management IT Performance Management Regulatory Compliance Performance Measurement & Reporting Asset/Liability Management Dynamic Relationship Pricing & Product Bundling C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . Segmentation and Profiling Process Optimization
  24. 24. BUSINESS ANALYTICS MANUFACTURING Production & Service Customers Production Quality Product & Customer Profitability Service Operations Optimization Segmentation & Profiling Warranty Analysis Campaign Management Service Parts Optimization Marketing Optimization Service Revenue Optimization Supply & Demand Organization Commodity Classification Financial Planning & Reporting Spend Analysis Scorecarding & KPIs Supply Risk Management IT Management Demand-Driven Forecasting Workforce Management and Planning Inventory Optimization C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  25. 25. 8 ESSENTIALS OF BUSINESS ANALYTICS ➊ Improve ➋ Get the flow and flexibility of data. the right technology in place. ➌ Develop the talent you need. ➍ Demand fact-based decisions. ➎ Keep the process transparent. ➏ Develop an Analytics Center of Excellence ➐ Transform ➑ Revise C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . the culture. your strategies – often.
  26. 26. BRING FOCUS TO YOUR EFFORTS  Where should we leverage business analytics?  Why now?  What’s the payoff?  What information and technology do we use?  What kind of people do we need?  What role must senior executives play? C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  27. 27. ONLINE BUSINESS ANALYTICS ASSESSMENT www.sas.com C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . HOW DO YOU STACK UP?
  28. 28. HOW THE MIGHTY FALL “Whether you prevail or fail, endure or die, depends more on what you do to yourself than on what world does to you.” – Jim Collins C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  29. 29. GLOBAL CHALLENGE “The business landscape has changed fundamentally. Tomorrow’s environment will be different, but no less rich in possibilities for those who are prepared.” C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  30. 30. THANK YOU FOR MORE DETAIL EMAIL US AT RAHUL.SINGH@SAS.COM C op yr i g h t © 2 0 1 3 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . sas.com

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