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Leveraging Frontline Data Analytics to Form Closed-Loop Decision Processes
- 1. Leveraging Data to Form Closed-Loop Decision Processes Mayank Bawa, CEO Defrag November 4 th , 2008
- 2. The Social Web is Accelerating Data Volumes Confidential and proprietary. Copyright © 2008 Aster Data Systems
- 3. Traditional Data Flows Lead to Slower Learning … Frontline Applications Frontline Applications Frontline Applications Confidential and proprietary. Copyright © 2008 Aster Data Systems Move & Batch Load Analytic Data Mart Sample Extract Enterprise Data Warehouse Operational Data Store Record Transform & Cleanse Source OLTP Database
- 4. Goal: Ability to Learn and Adapt Faster Applications BIG DATA Rapid Data Analysis Confidential and proprietary. Copyright © 2008 Aster Data Systems
- 5. Example 1: Recommendations at Retailers Confidential and proprietary. Copyright © 2008 Aster Data Systems
- 6. Example 2: Targeting in Advertising Networks Confidential and proprietary. Copyright © 2008 Aster Data Systems
- 7. Example 3: Increase Engagement at Publishers Confidential and proprietary. Copyright © 2008 Aster Data Systems
- 8. Candidate Architecture for Leveraging Data Users Applications Fresh Hourly Load Frontline Data Warehouse Reports and Analytics Rules Engine Updated Hourly Workload Management Confidential and proprietary. Copyright © 2008 Aster Data Systems
- 9. Paradigm: Frontline Data Analytics Front-office data analytics to power revenue growth or decrease risk … … because to do nothing is much more expensive Confidential and proprietary. Copyright © 2008 Aster Data Systems
- 10. Who is Leveraging Frontline Data Analytics? Confidential and proprietary. Copyright © 2008 Aster Data Systems
- 12. The Subtle Shift: Applications are using Data Frontline Data Warehouse … Frontline Applications Frontline Applications Frontline Applications Confidential and proprietary. Copyright © 2008 Aster Data Systems Move & Batch Load Analytic Data Mart Sample Extract Enterprise Data Warehouse Operational Data Store Record Transform & Cleanse Source OLTP Database Feedback
Notes de l'éditeur
- Most data generated on the Internet gets thrown away because it has traditionally been viewed as too expensive or low value to store and analyze. While the data businesses capture is now “growing out,” the smartest companies also recognize that the use of data is “growing up.” These companies are the ones who monetize the insights they gain by taming and analyzing those data sets, and feeding the insights back into operational purposes.