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Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

Analytics teams are named for the silos and limitations within which they trap themselves. Data Warehousing. Finally, few analytics teams obsess about predictive analytics in a way that allows them to dictate future action. Transforming Data’s Strategic Influence. intelligent analytics initiatives.

Analytics 131
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Cindy Howson: Best Practices for AI and the Joy of Hosting a Podcast

DataRobot

But Howson knows her data science. Now the chief data strategy officer at the company ThoughtSpot and host of the podcast The Data Chief , Howson has been in the data business for three decades. It is also important that data scientists have a detailed understanding of the business they’re working in. “If

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The Royal Mint’s diversification means all change for IT and security

CIO Business Intelligence

The technology team has grown from 25 to 60 people over the last three years, with Hobbs now supported by heads of development, data, operations and digital performance, as well as a CISO and head of delivery. We used a security scorecard benchmark and said we could become the most secure global mint.”

IT 52
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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Typical use cases for DynamoDB are an ecommerce application handling a high volume of transactions, or a gaming application that needs to maintain scorecards for players and games. In traditional databases, we would model such applications using a normalized data model (entity-relation diagram).