E Source, a utilities-focused consulting, research, and data science company, has appointed Norv Clontz as Vice President of ...

How strategy and data management help overall quality By understanding the business needs and importance of data, organizations can identify the rules associated with information.

Achieving data-driven success is challenging enough without the following common strategic and tactical missteps and misjudgments that can derail data operations and outcomes.

Do CIOs and other technology leaders have a clear strategy for how to harvest the data needed to drive self-service, CX and business transformation?

I strongly believe that a solid data strategy is essential for any business looking to thrive in today's data-driven world.

A good data strategy should be aligned with the overall business strategy and take into account the organization's current data landscape, future data needs, and potential risks and challenges.

Want to build your authority on a topic? Consider these four primary types of data which you can use to establish your content and keyword pillar strategy.

They are hamstrung by disparate data sources that are often incomplete and inaccurate, and by internal policies and procedures that treat data as a static asset.

A new tutorial from Google explains how to unlock Search Console insights with Looker Studio dashboards and visualize key SEO metrics.

The first data and statistics strategy for the Fund comes at a critical time. A fast-changing data landscape, new data needs for evolving surveillance priorities, and persisting data weaknesses across ...