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According to one estimate, we generate approximately 3.5 quintillion bytes of data each day. This is an incredible amount of information that requires an effective strategy for collecting data, storing and utilizing it to gain an advantage in the market.

The best enterprise data management software offers a structured approach to organizing and managing information for improved accessibility, usability and control. It helps companies break down data silos and attain the performance required for accurate analysis, making decisions and compliance with the industry’s regulations. Solutions reviewed by Solutions Review include on-premises and cloud data warehouses data lakes, data lakes, and integration tools to connect diverse databases and big-data systems.

A complete business solution should be able to support the development of the data policies of an organization and processes. This includes establishing an official system that acts as an all-in-one reference for the database of the company’s structures, metadata-driven data dictionaries and lineage records. It should also assist teams in determining the most important information they need for the task at hand.

By having a consistent and systematic information management process companies can automate tasks which would otherwise require manual intervention. This can reduce the workload of staff and increases error rates. But it’s important to take into account the concerns of employees when implementing automation, especially when it comes to tools that could impact their workflow.

The best software for managing data in an enterprise includes a robust architectural design that can handle large amounts of data and provide quick query response times. It should also be able integrate with existing systems and scale as the needs for data expand. This requires the use of a highly scalable storage system that supports multiple indexes, as well as the ability to handle complex queries without impacting performance.