We explain the four most common reasons data analytics projects aren't successful and how to avoid these mistakes.
- By Nohyun Myung
- November 1, 2021
The heart of your data strategy should be a hierarchical model you've probably never heard of. Here's why it's so important and how you can apply it in your own organization.
- By Peter Jackson
- October 29, 2021
The CoE role is expanding to meet the demands of data democratization.
- By Mike Potter
- October 21, 2021
Graph database predictions, data science trends, and requirements for good data quality.
- By Upside Staff
- October 12, 2021
Data lakehouses held much promise, but as Lewis Carr, senior director of product marketing at Actian, explains in this interview, they've fallen short. How can lakehouses be improved, and will new features be enough to encourage enterprises to adopt lakehouses?
- By James E. Powell
- October 8, 2021
These articles explain recent advances in predicting zoonotic diseases, improving patient health, and targeting personalized care.
- By Upside Staff
- October 5, 2021
Traditional compliance tools can't handle today's cloud infrastructure, so you need to consider a new approach.
- By Chris Ford
- September 27, 2021
Enterprises must modernize their ETL processes to support cloud migration and other data and analytics strategies.
- By Amit Assudani
- September 22, 2021