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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.
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The Role of Data in Enterprise
Mayank Bawa Co-President / Co-Founder Teradata Aster R&D Labs
The Role of Data in Enterprise
Record Report Influence
The Excitement of Big Data
Ability to influence business to get more favorable outcomes
The Responsibility of Technologists
Deliver a platform that makes it easier and simpler to influence business via Big Analytics
Forces that Technology has to Overcome
Diversity of Data
Multi-Structured Data
Richness of Analytics
The Reality of Technology Today
DIY Attitude is Bad for Business
Incredibly snobby
Asks business (e.g., Marketing) to learn non-core skills
The Equation of Big Analytics
Time + Effort + Cost
1 / Influence
The Challenge for Technologists
Decrease all three simultaneously
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
The Aster Product is Tracking This Goal
Your Analytic & Advanced Reporting Applications
Store
Process
Rapid Analytics Development
Embedded Analytic Processing
Massively Parallel Data Storage
• Commodity-hardware based • Software-only; Appliance; Cloud • Fault-tolerant & one-click expansion
• SQL-MapReduce framework • Analyze multi-structure data • Top performance for both SQL & MR
• 50+ pre-built analytical apps • Visual IDE: custom apps in hours • Several programming languages
Analysts Data Scientists Business Users Customers
Develop
Interface: SQL-MapReduce®
Standard SQL Support for Business Analysts Integrates Seamlessly with Most BI Tools 10x MapReduce Performance Advantage
1
2
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Industry’s Only Standard SQL + MR Combination
SQL-MapReduce® Interface Connects Business Analysts via BI Tools
Invoke Pre-Bulid SQL-MapReduce® App Through SQL and Visualize Directly in Tableau®
The App Store of Big Data
Path Analysis Discover patterns in rows of sequential data
Text Analysis Derive patterns and extract features in textual data
Statistical Analysis High-performance processing of common statistical calculations
Segmentation Discover natural groupings of data points
Marketing Analytics Analyze customer interactions to optimize marketing decisions
Data Transformation Transform data for more advanced analysis
Some of the 50 out-of-the-box analytical apps
The Next Decade will be very Exciting!
