Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Customer data management is defined as an ...

Many companies see multicloud as the best way forward for their hosting needs. If you think it is the right approach for your business, you should first have a data strategy in place. This will allow ...

This section breaks down different topics required for the planning and preparation of data used in research at Case Western Reserve University. In this phase you should understand the research being ...

Data can change the world, but our data leaders – the people who help spearhead this change – often struggle to do their jobs well. Moving past big data buzzwords, the challenges they face and what ...

The adoption of machine learning in the enterprise continues to grow as businesses—hungry for automation and intelligence—strive for greater efficiency, agility, and innovation through the digital ...

Use this list of best practices for establishing and maintaining data governance within your organization. The volume of data that the world produces has risen exponentially in recent years. In 2020, ...

Across industries, artificial intelligence is quietly (and not so quietly) enhancing business operations in a variety of ways, from streamlining processes to improving customer experiences (and ...

Most modern businesses recognize the value of data. For small businesses, this often means relying on reports generated by the business software platforms they use for daily operations. However, ...

Every organization, regardless of size or industry, needs a data loss prevention (DLP) plan. This includes all of the strategic tools and processes that will help a business avoid having their data ...

To gain success from a data-driven culture, the data you’re working with must be clean, making data hygiene an important part of gaining actionable insights. Data is an absolute necessity in today’s ...

The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...