1. Business Intelligence 3.0Master the World of BIG Data

2. We Live in a Data Explosion Era Data explosion caused by: Cloud computing, Rise of mobility, Globalization, Social media, machine data, web logs, sensor networks, RFID tags In 2012, the data overload will reach 2720 exabytes In 2015, the data overload will reach 7910 exabytes By 2020, the prediction is 35 Zettabytes.

3. Main trends in BI today: Big data It is easy to collect data, but difficult to make sense of it using traditional BI tools. The useful life of information has decreased, and so has the utility of BI tools Consumerization of Enterprise BI Use to get everything from the internet Access to analysis on their daily job Social & Contextual BI Mobile BI

4. The Challenge: Decision Window isNarrowing, while data is growing.. Lots of data need to be digested quickly, or risk of being irrelevant Decision need to be taken faster than competitors do The holy grail is to shorten the time from Data to Action Time Decision Window

5. BI 3.0 helps business users make sense of Big Data Consumerization Big Data BI 3.0 Of Enterprise BI Shortening the time from Data to Action

6. Gartner: Analytics & BI are back to #1 Top technologies selected by CIOs

7. Gartner 10 top trends for 2012 Analytics Social & Contextual Tablets Cloud In memory Big data* more: mobile, apps store, internet of thing, low energy servers

8. What is BIG Data?

9. BIG Data is:Data sets of extreme volume and varietyThe Vs Volume exceed physical limited of scalability Velocity - decision window small compared to data change rate Variety many formats makes the integration expensive. Variability many options for analysis

10. Market sizing and growth In 2011 Big Data was a 9B$ business, which represents only 2% of 407B$ spent on Enterprise IT. By 2021 Big Data will become a huge 86B$ business, which will represents 11% of spent on Enterprise IT. 10 years CAGR of 25% for BigData compared to Enterprise IT CAGR of only 5%

11. Whats in it for Business People?

12. The best Return on Investment fromBig data is Analytics Organizations collects huge amount of data The most common use case for such data is to analyze and find hidden insights, correlations, etc

13. Storing and processing Big Data with the Hadoop Framework Map SQLBigData HDFS Hbase Hive BI Reduce Server Hadoop framework BI Suite

14. + Enterprise-Ready Native connector Enhanced Security Ease of deployment Integration to the Enterprise Data Warehouse Simplified programming Seamless connectivity via BI tools and Excel

15. When you have a World of Data.. You need a better Compass

16. Panorama NectoTM BI 3.0: Build Your Corporate IntelligenceADVANCED ANALYTICS Easy-to-use analytics for business users and advanced analytical SOCIAL BI capabilities for power users Engaging platform for collaborative decision making Self Service CONTEXTUAL DISCOVERY Intelligent BI engine thatautomatically pushes relevant insights by understanding users behavior

17. Contextual discovery helps you focus on whats relevant INTERESTS GRAPH - Tags - Likes - Visits This is what I likeSOCIAL GRAPH Example: Amazon, netflix- Friending- Discussions- Annotations DATA - Insights - Exceptions - Models This is who I know Example: Facebook, linkedin

18. Social BI, your essential tool for Big Data Leverage the Power of Many to get better Insights Work collaboratively for better and faster insights and decision making Create add-hoc teams to discuss subjects at hand Add unstructured knowledge layer Follow others work Enables you to work in an ever evolving data generation

19. Advanced Analytics on Big DataSlice and diceDrill-ups, drill-downs and drill-throughsAdvanced filteringSimple and bubble up exceptionsFormulas and parametersInstant calculated membersSliding filtersInteractive ChartingOne click interactive reportingLarge dimension handlingAdvanced MDX and DAX toolsAnd much, much more

20. True Self Service on Big Data Users can create their own Workboards or easily find the WorkBoard they should work on With Necto and SQL 2012 you can easily add your own sources of information and connect them to the organizational data for better and deeper insight

21. Big Data Example

22. Azure and Hadoop Windows Azure is Microsoft computing and storage Cloud Azure provides the Hadoop framework as storage and processing layer and solves the two issues of the data explosion Moving data to Azure removes the need of managing hardware and data maintenance Dealing with massive data analysis using the Azure hadoop framework

23. Public data Analyzing organizational data help business users understand WHAT has happened. Mashing up this data with public Big Data sources can help business users understand WHY things happened

24. Demonstration

25. The Big Data Demonstration Flow 1 2 3 4 Azure Hadoop Publish to Insights Data Cluster SQL 2012 through Market Necto

26. Try it yourself Download Necto from http://go.panorama.com/trial-1 Request access to Hadoop on Azure https://www.hadooponazure.com/ Use those slides to guide you through the process, connect Necto to Hadoop and enjoy the experience.