Upside


Data Ops: What Is It? Do We Need It? (Part 2 of 2)

Six common pitfalls for busy data management teams.

Data Ops: What Is It? Do We Need It? (Part 1 of 2)

Data ops applies agile and collaborative techniques to data delivery to align various and often far-flung data deployment tasks.

Data Digest: Managing Ethics for AI

Principles for ethical AI, avoiding bias in text analysis, more data ethics courses available.

  • By Upside Staff
  • April 12, 2018

Data Stories: Mapping the Spread of Spring

Data visualizations can show the changing seasons by mapping changes in temperature, weather, plants, and animals.

  • By Upside Staff
  • April 11, 2018

Data Digest: Governance and Security for Modern Data

Planning strong data governance, securing connected devices, and using machine learning for security.

  • By Upside Staff
  • April 10, 2018

University of Kentucky Uses Analytics to Study Student Success Factors

Higher education is beginning to practice what it preaches -- teaching and using analytics for its own benefit. Here's how one university ventured in this new direction.

  • By Brian J. Dooley
  • April 10, 2018

Long Live the Traditional Data Warehouse

A data warehouse is more than a storage repository. Don't lose sight of the benefits a traditional warehouse provides.

Adopting a Data-Centric Culture (Part 3 in a Series)

In the final part of our series, we look at the characteristics of a data-centric culture and how to adopt such a culture in your own enterprise.

  • By Jonathan Fowler
  • April 6, 2018

Data Digest: Alternatives to Data Scientists

Find out whether you need a data scientist, how to support citizen data science, and how competition can inspire data science.

  • By Upside Staff
  • April 5, 2018