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 ...
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 ...
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 ...
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 ...
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 ...
While the adoption of hybrid cloud environments continues to rise – offering companies a "best of both worlds" option to gaining scalability while maintaining control over business-critical ...
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 ...
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What is data management?

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, ...
Many businesses are turning to data center as a service providers to efficiently store and process their critical data. However, with this transition comes a new set of security considerations, and ...
Explore the best practices to improve data quality and maximize the value of your data assets. Data quality, the condition of an organization’s data in terms of consistency, accuracy, reliability, and ...
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 ...