While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should ...

While challenges with organizing and merging existing data repositories may arise, data management involves the effective and secure prepping of data for analysis and decision-making. Data ...

Data architects are senior visionaries who translate business requirements into technology requirements, and define data standards and principles, often in support of data or digital transformations.

By establishing a framework for accessing the vast amounts of data they generate, companies can make more informed decisions and enhance their ability to deliver valuable products and services to ...

This makes data management inherently complex and fragmented. As critical business data can change from time to time, there can be instances of variance across all of these systems. For instance ...

Data governance is a system to define who within an organization has authority and control over data assets, and how those data assets may be used. It encompasses the people, processes, and ...

Data management is broad in scope, covering all aspects of how your organization acquires, stores and uses its data. Below that framework of data management is data governance, which is more ...

Data management requires tremendous organizational ... Applying a clear and consistent framework across the organization can help identify true gaps as well as areas for opportunity.

SGI’s Data Management Framework (DMF) software – when used within personalized medicine applications – provides a large-scale, storage virtualization and tiered data management platform specifically ...