Modern businesses rely on ever-growing amounts of data to effectively create, market and sell products, improve operations, boost revenues, and manage inventory to hold costs in check. All team members should have access to this information, which needs to be reliable, accurate and secure.
To meet these needs businesses require an integrated data solution that includes the right tools and technologies to handle every stage of the data cycle: gathering data, storing, processing, and analysing. A comprehensive, efficient data solution should include a unified platform for data (UDP) as well as data governance, business intelligence and the creation of a data catalog.
When it comes time to store and collect data, a business needs to ensure that it is able to scale up or back down in order to meet demand. This includes choosing the best database to store data on, and the tools to move the data into and out of it. It is also essential to identify and eliminate unnecessary siloed information to reduce the size of the operational databases.
Data infrastructure is the term used to describe the tools needed to collect and store information. This layer contains software to manage, store and transform data for analysis and report generation. It also has tools for creating visual representations of the data in order to make it more usable by analytics and business intelligence tools. This layer is broken down into two sub-components, namely the data warehouse management and data modeling.
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