According to one websites estimate, we generate approximately 3.5 quintillion bytes of data every day. This is an incredible amount of data that demands an effective method of collecting, storing and using to gain competitive advantages.
The best enterprise data-management software uses a structured approach for managing and organizing data to improve access, usability, and governance. It also helps companies reduce data silos and attain the efficiency required for reliable analysis, decision-making and compliance with industry regulations. Solutions Review reviews cloud and on-premises data warehouses as well as data lakes and integration tools that connect disparate databases and massive data systems.
An all-encompassing business solution should also aid in the development of the company’s data policies and processes. This involves creating an organized system of records that provides an all-in-one reference point for the organization’s data dictionary, lineage records and metadata-driven database structures. It should also help teams determine which data they need for the job to be completed.
By setting up a consistent management of information process, businesses can automate tasks that otherwise require manual intervention. This can reduce the workload of staff as well as error rates. But it’s important to consider employee concerns when deploying automation, especially when it comes to tools that may impact their workflow.
The best enterprise-grade software for managing data also has an advanced architecture that can manage large data sets and provide fast query response times. It should also be able integrate with existing systems and scale as data demands increase. This requires an extremely scalable storage solution that can support multiple indexes as well as the ability to handle complex queries without impacting performance.