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TDWI Articles

Practical Data Science


Tableau Talks Product Strategy

Tableau officials are adamant that the transition of cofounders Christian Chabot and Chris Stolte to new roles won't disrupt ongoing product development. If anything, they claim, customers should expect more from Tableau.

Q&A: Pushing the Next Frontier in Handwriting Recognition

MyScript uses machine learning to build highly accurate handwriting recognition algorithms. The company says its technology works with 95 percent of written languages as well as mathematical equations and music.

How Do Machines Learn?

Machine learning is a hot topic today and businesses around the world are using it to gain a competitive advantage. It is not a magical technology, rather the application of time-tested statistical practices to common business processes.

Data Digest: Finding Data Sources, Understanding Cybercriminals, Managing IoT Network Access

Read about finding useful data sources, how understanding cybercriminals can help you protect your system, and how to secure and manage IoT devices on your enterprise network.

Data Digest: Increasing Big Data Access, Making Money or Cutting Costs, Analytics Primer

How broad access to big data increases insights, using big data to make money versus save money, and an advanced analytics overview, including techniques and tools.

Analysts Don't See Great Value in New Data Types

According to new survey, data from research firm Clutch, most users of BI data analytics tools find traditional data types more valuable than new data sources. Is this really a surprise?

Data Digest: Geospatial Visualizations, Part-Time Data Management, Data Journalism Impact

Today learn how geospatial data is more easily understood through visualizations, how very small businesses can manage their data effectively, and how journalists are turning to visualizations to deliver data stories.

Self-Service Data Access: The Foundation for Emerging Analytics

New practices such as self-service data prep, exploration, and discovery don't work well (or at all) without new ways of making data more accessible.

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