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To solve business problems, develop new products and services, and optimize processes, organizations increasingly need analytics insights produced by data science teams with a diverse set of technical skills and business knowledge who are also good communicators. This TDWI Checklist Report describes seven steps to achieve a successful data science strategy.
By reflecting on the trajectory of big data adoption, this TDWI Checklist Report examines how selecting the right components will guide your transition and integration strategy to realize a mature big data platform that can be integrated within a production information technology environment.
This Checklist Report defines broad and unlimited data exploration best practices, with an emphasis on the roles of SQL and Hadoop.
This checklist provides practical guidelines to nascent data storytellers. It describes some important principles of data and analysis—the supporting characters in a story—as well as some tips for making a story engaging.
This Checklist Report explores the leading business reasons for modernizing a data warehouse, plus the common technical measures taken today for data warehouse modernization.
Download this report to learn about the many available technologies and practices for real-time data, BI, and analytics, plus how they enable fast-paced business processes and yield a wide range of organizational advantages.
Data blending isn’t simply a matter of throwing data together; issues like data quality still need to be addressed. This Checklist Report focuses on helping organizations understand the steps and features that are part of data blending.
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