Mayank Bawa, Co-President, Teradata Aster, presents at the Big Analytics 2012 Roadshow. The opportunity exists for organizations in every industry to unlock the power of iterative, big data analysis with new applications such as digital marketing optimization and social network analysis to improve their bottom line. Big data analysis is not just the ability to analyze large volumes of data, but the ability to analyze more varieties of data by performing more complex analysis than is possible with more traditional technologies. This session will demonstrate how to bring the science of data to the art of business by empowering more business users and analysts with operationalized insights that drive results. See how data science is making emerging analytic technologies more accessible to businesses while providing better manageability to enterprise architects across retail, financial services, and media companies.

1. The Role of Data in Enterprise
Mayank Bawa
Co-President / Co-Founder
Teradata Aster R&D Labs

2. The Role of Data in Enterprise
Record Report Influence

3. The Excitement of Big Data
Ability to influence business
to get more favorable outcomes

4. The Responsibility of Technologists
Deliver a platform that makes it easier and
simpler to influence business via Big Analytics

5. Forces that Technology has to Overcome
Multi-Structured
Data
Diversity of Data
Richness of Analytics

6. The Reality of Technology Today

7. DIY Attitude is Bad for Business
Incredibly snobby
Asks business (e.g.,
Marketing) to
learn non-core skills

8. The Equation of Big Analytics
Time + Effort + Cost
1 / Influence

9. The Challenge for Technologists
Decrease all three simultaneously

10. Problems that Need to be Solved
Make it easy to manage and curate large volumes of
diverse data
Provide tools to update/delete data to ensure
consistency across data stores
Provide interfaces that are accessible to a business user
Provide extensible business applications to find
answers relevant to the business

11. The Aster Product is Tracking This Goal
Analysts Customers Business Users Data Scientists
Your Analytic & Advanced Reporting Applications
• 50+ pre-built analytical apps
Develop
Rapid Analytics Development • Visual IDE: custom apps in hours
• Several programming languages
• SQL-MapReduce framework
Process
Embedded Analytic • Analyze multi-structure data
Processing • Top performance for both SQL & MR
• Commodity-hardware based
Store
Massively Parallel Data • Software-only; Appliance; Cloud
Storage • Fault-tolerant & one-click expansion

12. Interface: SQL-MapReduce®
1 Standard SQL Support for
Business Analysts
2 Integrates Seamlessly with
Most BI Tools
3 10x MapReduce
Performance Advantage
Industry’s Only Standard SQL + MR Combination

13. SQL-MapReduce® Interface Connects
Business Analysts via BI Tools
Invoke Pre-Bulid SQL-MapReduce® App Through SQL
and Visualize Directly in Tableau®

14. The App Store of Big Data
Path Analysis Text Analysis
Discover patterns in rows of sequential Derive patterns and extract features in
data textual data
Statistical Analysis Segmentation
High-performance processing of Discover natural groupings of data
common statistical calculations points
Marketing Analytics Data Transformation
Analyze customer interactions to Transform data for more advanced
optimize marketing decisions analysis
Some of the 50 out-of-the-box analytical apps

15. The Next Decade will be very Exciting!