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CIO Ryan Snyder on the benefits of interpreting data as a layer cake

CIO Business Intelligence

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. That strategy is doomed to fail.

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In-depth with CDO Christopher Bannocks

Peter James Thomas

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

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Announcing data filtering for Amazon Aurora MySQL zero-ETL integration with Amazon Redshift

AWS Big Data

As your organization becomes more data driven and uses data as a source of competitive advantage, you’ll want to run analytics on your data to better understand your core business drivers to grow sales, reduce costs, and optimize your business.

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Modern Data Architecture for Telecommunications

Cloudera

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . There were many of these structures across the business, multiples for each acquisition, each line of business, and each executive structure. Why telco should consider modern data architecture.