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TDWI Upside - Where Data Means Business

Practical Data Science


Data Digest: Focus on Data Quality and Data Integration

Tips for combating poor data quality, how enterprises can justify their use of data integration tools, and how to get the best insight from your data.

Supervised vs. Unsupervised Learning (Part 3 in a Series)

Will a new website visitor be a good customer? We look at two approaches to creating an analytical model that can help you answer that question.

BI/Analytics Forecast Needs a Closer Look

Some claim business intelligence has had its day. Not according to Gartner.

Data Digest: Focus on Big Data Analytics

Big data's effectiveness, plus fusing marketing with data science and using a citizen data scientist to find your big data footing.

How Machine-Learning Techniques Use Methods (Part 2 in a Series)

These six machine-learning techniques are worth getting to know.

Doling Out Bragging Rights for Advanced Analytics

SAS, IBM, KNIME, RapidMiner, and Microsoft posted strong showings in Gartner’s February 2016 Magic Quadrant for Advanced Analytics Platforms report, though Microsoft fell short of market leadership.

The Agony and the Ecstasy of Advanced Analytics

Organizations have embraced analytics with gusto. They've cleared away a good bit of the low-hanging fruit, but what's higher up on the tree is going to be much more difficult to get.

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