Modern businesses are relying on increasing amounts of information to efficiently market, design and manufacture products, improve operations, boost revenues and manage inventory to keep the costs down. This information must be easily accessible to all members of the team, and it must be reliable, accurate and safe.
To meet these requirements companies require an extensive data solution that incorporates the right tools and technology to manage each stage of the data cycle: collecting, storing, processing and analyzing. A comprehensive data solution should include data management, business analytics and a data catalogue.
When it comes time to store and collect data, an organization needs to make sure that it has the capacity to scale up and back down in order to meet demand. This means selecting the right database to store data, and the tools to move that data in and out of it. It is also important to remove review unnecessary siloed data in order to reduce the size of the operational databases.
Data infrastructure is the term used to describe the tools used to gather and store data. This layer contains software to store, manage and transform data to be used for analysis and report generation. This layer also contains systems for creating visual representations of data to make it more usable by analytics and business intelligence tools. This layer can be further divided into two components including data modeling and warehouse management.
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