1. SiliconIndias’ Business Intelligence Conference, Pune - Jan 29, 2011 By Shashank Garg | Jan 2011 Business Intelligence Trends

2. Agenda  State of Business Intelligence  Business Intelligence Trends  What are our customers asking for?

3. The State of Business Intelligence

4. State of Business Intelligence  Data Warehousing has been around in some fashion for nearly 40 years and BI for nearly 20.  Other technology disciplines have evolved in dramatic ways over the same timeframe  Applications from Distributed -> Client Server -> Web  Web from Static Content ->Simple Applications -> Web 2.0 -> Web 3.0  Land Line -> Brick Phone -> Clam Shell -> Razor -> iPhone  BI has remained relatively “the same”  Historical  Slow to implement  Focuses on “Slice and Dice”  Little advancement in terms of decision support

5. State of Business Intelligence  We are in the age of Big Data  Expectations from data consumers are unlimited data and timely access  There is no way for organizations to “manage” the data  We need to be able to pull what we want and connect the dots quickly  Decision makers want to drive, not be driven

6. Business Intelligence Trends

7. Event-Driven BI The Challenge  There is too much data  Trend lines do not change – historical data is no longer news  Changes in the data, especially the closer you get to real-time information, can be highly volatile  Changes in the direction of data can be important, but it can be hard to assume what is a significant change and which isn’t The Trend  Event driven alerting  “Event” means that the change in the data is significant. Something else is happening to affect the change  Determined by using simple statistical analysis such as correlations, t scores and confidence intervals

8. Predictive Analytics The Challenge  Historical data holds only so much value  Organizations know the information in their BI systems can serve as headlights instead of rear-view mirrors  Decision makers want the data to tell them what to do The Trend  Applying predictive analytic models to historical data to give answers to these questions:  Where is this current trend taking us?  What are the key variables in the data that move our KPI’s in the right direction and vice versa?  Where should we be focusing our time and energy?  Which of our customers should we be targeting with what products?

9. Open Source BI and On-Demand BI The Challenge  The economy has taken its toll on corporate mindset and budgets  “Do more with less” The Trend  Open Source business intelligence solutions growth is outpacing the market  BI software-as-a-service (or On-Demand BI) giving companies best-in- class BI operations without the licensing and payroll overhead  BI just when you need it

10. Quiz! How much data exists in our digital universe? Answer: 1.2 Zettabytes (1,200,000,000,000,000,000,000 bytes)

11. How Much Data Is Out There?

13. How Much Data in 2010

14. Predicted Data Universe For 2020  By 2020, the amount of data in the digital universe will be 35 ZB.  The vast majority of the data will not be generated by companies, but they will want access to it.

15. Crowdsourced BI, Text Mining, Mashups and DaaS The Challenge  Data is the new oil and companies do not own most of it  Consumers are creating a wealth of information that is more valuable than what companies can create on their own  Most companies do not know how to get to it or know what to do with it if the could  The vast majority of the value is hidden in unstructured data The Trend  Crowdsourced BI – Leveraging the huge, high-quality social networks such as Facebook, Twitter, Yelp! and Foursquare to identify trends, measure marketing messages, brand awareness, etc.

16. Crowdsourced BI, Text Mining, Mashups and DaaS (cont.) The Trend  Text Mining – The ability to turn textual, unstructured data into quantifiable and tagged data sets that are customized to a company  Mashups – Pulling and integrating data from multiple social networks, web 2.0 and other external sources in real-time  Data-as-a-Service – The emergence of external conformed, cleaned data on demand that can be easily custom tagged and integrated with an organization's own data.  Management and QA of the data is no longer a cost to the organization  Easier integration points with BI, ETL and MDM tools  Pay for just the data you need and for how long you need it

17. Advanced Visualizations The Challenge  The volume of data is overwhelming for decision makers  Easy to get lost in the details  Need to interact with the data for real time analysis  The delay between question and answer is too long  BI tools are still too complicated for the business users The Trend  Advanced Visualizations  Goodbye spreadsheets – tired of getting lost in the data  iPhone, iPad, ClikView, Flex, etc. – driving the visualization revolution  Power to the people – analysis where it needs to happen

18. Quiz! What is the #1 Business Intelligence tool in the world today? Answer:

19. Meta Data Management The Challenge  Companies continue with unresolved QA issues  More data, different sources  Data quality and management are not strengths  Disparate data repositories, sets and silos will grow The Trend  Quality will need to get better  Integration between many data sources will become more like plug-n- play  Metadata information must be business centric, end-user perspective and JWINTKRWINTKI (Just-What-I-Need-To-Know-Right-When-I- Need-To-Know-It)…this is why the acronym JIT caught on much faster

20. What are our customers asking for? Advanced Visualization Open Source Crowdsourced Text Mining Mashups Event-Driven Predictive Analytics Data-as-a-Service On-Demand BI

21. SiliconIndias’ Business Intelligence Conference, Pune - Jan 29, 2011 Thank You