Data governance

Jordan Bazinsky of Cotiviti says the need to inherently trust information is essential to gain trustworthy insights.

Digital execution plans will often feature speed, agility, and minimal viable products -- or experience.

In measuring the volume of data, we have blown past exabytes and are now calculating volumes in zettabytes -- an explosion that's upending traditional processes.

It need not (in fact it should not) be an overly complex burden that adds controls and obstacles to getting things done, but a practical thing, designed to proactively manage the data that is important to your organization.

The cloud is creating configuration and data visibility problems, according to a report from the Cloud Security Alliance, an organization that defines best practices for cloud security.

Effective management of reference data is a key part of data management overall. If it’s not done well or not done at all, the result can be poor data quality.

The Drexel LeBow Analytics 50 is a national recognition of industry analytics distinction where companies are honored for their use of analytics to solve business challenges. Here are two of those stories.

The National Institute of Standards and Technology is seeking industry input on ways to develop standards for artificial intelligence.

Bridger Insurance says the incident, reported in Sept. 2018, involved some access of insurance application data.

The tech giants evolved out of necessity to migrate to a more flexible and responsive architecture by incorporating microservices.