Data management is a practice that allows organizations to collect, store, and use data in an efficient and secure way to maximize business value. A robust data strategy enables organizations to make informed decisions that maximize the benefits of their intangible assets.
These days, organizations need a data solution that provides an efficient way to manage data across a diverse but unified data tier—a complex array of platforms, appliances and services that can include databases, data lakes and data warehouses, big data management systems, advanced analytics and whatever else the leadership decides is necessary.
All of these components work together to form a “data utility” that provides the data management necessary for an organization’s apps, as well as the algorithms and analytics that use it. Although current database tools help DBAs automate many tasks, manual intervention is still common because of the size and complexity of most deployments. When a DBA has to make changes manually, there’s a greater chance for errors. Reducing this need for manual data management is a key objective of a new data solution.
Within today’s business climate, data has become a valuable commodity. Digital startups and disruptors have long since used data to identify trends and make decisions, enabling them to act before their competitors. As a result, companies are now actively seeking ways to derive value from the new package of information they possess.