Modern businesses are relying on ever-growing amounts of information to efficiently market, design and manufacture products, improve operations, boost revenues and manage inventory to keep the cost line. All team members must be able to access this data, which should be reliable, accurate, and secure.
To meet these requirements, companies require a comprehensive solution that has the tools and technology needed to manage every stage of the lifecycle of data: gathering, storing, and processing. A well-rounded, effective data solution should include an unifying data platform (UDP) as well as data governance, business intelligence and a catalog of data.
When it involves storing and storing data, a company needs to ensure that it has the right capacity to scale up or down to meet demand. It is essential to select the right database to store data and to have the tools to move data between and within that database. It also means identifying and eliminating siloed data to reduce the overall size of the company’s operational databases.
Data infrastructure is the term used to describe the tools required to collect and store data. This layer includes software that helps store, manage and transform data to be used for analysis and report generation. This layer also contains the ability to create visual representations of the data to make it suitable for business intelligence and analytics tools. This layer can be further divided into two parts: data modeling and data warehouse management.