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Data Digest: Spotting Fake Data, Seeking Data Science Truth, Blockchain 101

A new class on recognizing fake or distorted data, why data science needs transparency, and the basics of the blockchain distributed database.

  • By Lindsay Stares
  • February 7, 2017

Why Your Top Analysts Are About to Quit -- And How to Keep Them

Four steps you can take to retain top talent by ensuring your analysts stay productive and engaged in their work.

  • By Pete Reilly
  • February 6, 2017

What's Next for Your Customers?

Marketing is evolving from communication to the masses to communication to the one. By using a recommendation engine, you can determine the next best step for each customer journey and use that to increase customer loyalty and revenue.

Data Digest: Predictive Analytics Benefits, Predictive Challenges, Unstructured Data Security

Learn the basic concepts behind predictive analytics, 14 challenges facing predictive analytics, and 5 ways to improve unstructured data security.

  • By Lindsay Stares
  • February 2, 2017

Use a Hadoop-based Data Lake to Empower New Best Practices for Business Analytics

To get full business value from big data and other new data sources, many organizations use a data lake atop Hadoop to capture, process, and manage diverse data at scale for business analytics.

Three Paths to Value in Data Science

Organizations are using many strategies to gain bottom-line value from big data and data science. Three major trends stood out in TDWI's recent research.

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