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- <![CDATA[Cover]]>0
- <![CDATA[Data Science: Where's the Value?]]>2
- <![CDATA[Why Data Science Efforts Often Fall Short]]>3
- <![CDATA[Insights Not Integrated with Business Processes]]>3
- <![CDATA[Predictive Insights Are Insufficient]]>3
- <![CDATA[Inability to Act on Highly Perishable Insights]]>4
- <![CDATA[Pace of Insight Generation Mismatch]]>4
- <![CDATA[Failing to Learn From Past Performance]]>5
- <![CDATA[Operationalizing Data Science]]>6
- <![CDATA[Develop Prescriptive Insights]]>6
- <![CDATA[Integrate Insights with Business Process]]>6
- <![CDATA[Right Insights at Right Time]]>6
- <![CDATA[Close the Loop]]>7
- <![CDATA[Software Automation Required]]>7
- <![CDATA[Technologies, Tools, and Architecture]]>8
- <![CDATA[Machine Learning]]>8
- <![CDATA[Scalable Analytical Database]]>8
- <![CDATA[Agile Methodology and DevOps]]>9
- <![CDATA[Cloud-Native Applications]]>9
- <![CDATA[Cloud-Native Platform]]>9
- <![CDATA[Event-Driven Architecture]]>10
- <![CDATA[High-Performance Transactional Data Layer]]>10
- <![CDATA[Lightweight Data Pipelines]]>10
- <![CDATA[Conclusion]]>11