1. Advanced Analytics The next wave of Business Intelligence Shankar Radhakrishnan Senior Solutions Architect HCL Technologies

2. Agenda Analytics Landscape Maturity Level Market Indicators Advanced Analytics Enablers

3. Analytics Landscape Strategies Social, Email, Blogs, Video, Mobile Marketing, Sales - Product Listing, Promotions Applications ERP, CRM, Databases, Internal Applications, Customer/Consumer facing applications Context Web, Customers, Products, Business Systems, Processes and Services Support Systems CRM, Recommendation Systems Data warehouses, Business Intelligence

4. Collect More, Mine More Drivers ROI, Customer Retention, Product Affinity Market Trends, Research Analysis Customer/Consumer Analytics Build Relationships Insights

5. Maturity Level

6. Market Indicators “By 2014, 30% of analytic applications will use proactive, predictive and forecasting capabilities” “The market for BI and analytics is undergoing gradual evolution.”Gartner. Feb 1 st, 2011 “In 2011, the use of analytics as a competitive differentiator in selected industries will explode” “The roles of marketing, sales, human resources, IT management, and finance will continue to be transformed by the use of analytics” International Institute for Analytics. Dec 3 rd, 2010

7. Market Indicators (continued) “By 2014, the metamorphosis of BI from IT-owned and report-centric will be virtually complete for a large number of organizations.”Gartner. Jan 6 th, 2011 “These organizations will change what types of BI and analytics they use. They will change how they procure them and where they procure them from, and they will modify how information feeds decision making.” Gartner. Jan 6 th, 2011 “By 2014, global market for Analytics software will grow to $34Billion”IDC. Nov 9 th, 2010

8. Text Analytics Social Analytics Sentiment Analysis Brand Identity Product & Brand Affinity Reputation Driven Online-Economy

9. Breakdown of 2010 Social Demographics Facebook vs. Twitter

10. Predictive Analytics Forecasting Targeting Fraud Detection, Anti-Fraud Analytics Regression, Predictive, Multivariate Propensity Price Elasticity

11. Segmentation Analytics Customer Segmentation in real-time Churn Analysis, Attrition Funnel Analysis Behavioral Segmentations

12. Mobile Analytics Digital Delivery Channels and Services Property Effectiveness Application Analytics Ad Analytics Geo-Spatial Analytics User profile and Relevance Identify New Opportunities

13. Data Strategy Structured, Semi-Structured Unstructured User generated System generated Interactive ‘pipes’ Enterprise Data

14. Enablers : Processing Models Data Mining In-memory Database Analytics In-database Analytics Real-time Data warehouses Process-at-the-source Distributed Databases Clustered Databases Columnar Databases

15. Enablers: Service Models Analytics-as-a-service Data Provisioning Data Ownership Localized Process Faster Results Dynamic Scaling Increased ROI

16. Enablers : Big Data Data volume explosion Data Retention (Long Tail Analysis) Data Appliance Distributed Data Open Development Frameworks

17. Thank You! “Every decision we make is based on Analytics” Oliver Ratzesberger, Ebay