150 likes | 302 Vues
Analytics and Business Process Effectiveness Session at Silicon India 30 Jul 2011. Rajgopal Kishore Vice President and India Head of Financial Services, BI & Analytics, Capgemini Rajgopal.kishore@capgemini.com rkishore9@gmail.com. Presenter Profile – Rajgopal Kishore.
E N D
Analytics and Business Process EffectivenessSession at Silicon India30 Jul 2011 Rajgopal Kishore Vice President and India Head of Financial Services, BI & Analytics, Capgemini Rajgopal.kishore@capgemini.com rkishore9@gmail.com
Presenter Profile – Rajgopal Kishore • Heads Business Information Management, India, Financial Services at Capgemini • Previously Global BI head at HCL Technologies in Bangalore, and jump-started Technology Consulting and Strategy at Infosys, Dallas TX • Passionate about using technology and data to meet business goals • Entrepreneurial DNA • Speaker at conferences and universities • Provocative blogger – http://www.b-eye-network.in/blogs/kishore rajgopal.kishore@capgemini.com rkishore9@gmail.com
Agenda • The challenges with “Traditional” Datawarehousing and BI • The Levels of Analytical maturity • There is a shift in emphasis from business process efficiency to effectiveness • Examples • Solutions Architecture • Takeaways for us as leaders, and professionals
Traditional BI( Business Intelligence) Programs Often Fail to Make Business Impact… Many organizations still not “get” analytics BI not seen as delivering enough business impact • BI programs are unable to connect their outputs with impact on business KPIs • Still no comprehensive strategy on how information can be used to enhance competitiveness • Data maybe collected, but business leaders are unclear how to approach it for the purpose of gleaning insights and taking action • Business Users are frustrated with traditional BI and DW (Datawarehousing) as it takes too long, and when done, impact does not warrant cost and time • Many IT departments busy with large ETL (Extract- Transform –Load) projects without a clear loop-back on business benefits • Once the report is produced, the key question for the business user is – what do you do? How does behavior change, and what actions do you take on business operations? Measure Impact Innovate Organize BI Organization is seen as not being able to innovate BI is seen as disconnected from the organizational processes • BI is “disconnected” from the transactional systems; • How will insights from BI go back into your business process? • How will you “close the loop”? – the loop of insights, action, measurement? How do you know that your BI really worked? • Large service companies do not have the DNA to innovate • Internal projects to create “IP” and solutions have had minimal impact • Relationships with innovative vendors will be key ► Current State & Trends Enterprise Intelligence & Analytics Strategy - E&Y | Rajgopal Kishore
Bottom-line – Traditional BI & Analytics does not impact decision making significantly The impact is often post-facto
The Analytics Maturity Model Optimization How do we do things better? Predictive Modeling What will happen next? Forecasting What if these trends continue? Why is this happening? What opportunities are we missing? Statistical Analysis Alerts What actions are needed? Query Drill-down Where exactly is the problem Ad-Hoc Reports How many, how often? Standard Reports What happened? Adapted from SAS
There is a need to make business processes more effective … There is a shift of emphasis from process efficiency to effectiveness
Example Customer Contact Center – Understanding Customer Value at the time of the call
Example Claims Processing – Selecting and routing claims
Example Fraud – Identifying and acting on possibly cases of fraud
Example Retail – Price Optimization
Other Trends that we are seeing – BPM (Business Process Management) and Mobile
Services Oriented Architecture is essential to achieve separation of concerns – Business Process and Analytics
Take-away for us as leaders and professionals • Focus attention on demonstrating business value (impact on business outcomes) of analytics and business intelligence • A great way to approach this is to take away attention from reports and focus on business activity and the daily business grind – and ask how you can make them more effective (not just efficient)