Data Digest: Bias in Analytics, Data Lakes for Security, Data Lessons from 2016

Combating Bias in Analytics

Analytics seems impartial but can still perpetuate bias due to hidden biases within the humans who write the code or the data a model is trained with. This article offers tips on how to minimize that bias.

Read more at O'Reilly Media

Best Practices for Security with Data Lakes

One of the many applications for analytics is security. If your enterprise is struggling to use a data lake for security analytics, you are probably having problems with the first phases of implementation.

Read more at Dark Reading

The Data Morals of 2016

Three major unpredicted events occurred in 2016 that went against beliefs in predictive analytics. The lessons your enterprise can learn from them about proper analysis are here.

Read more at Datanami

About the Author

Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at

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Q&A with Jill Dyché

Find out what's keeping teams up at night and get great advice on how to face common problems when it comes to analytic and data programs. From head-scratchers about analytics and data management to organizational issues and culture, we are talking about it all with Q&A with Jill Dyche.

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