Data management is the way businesses collect, store, and secure their data to ensure that it is reliable https://taeglichedata.de/how-to-set-up-a-relevant-and-useful-deal-room/ and usable. It also encompasses the technology and processes that assist in achieving these goals.
The data used to run the majority of companies is gathered from various sources, compiled in various systems, and then delivered in various formats. It is often difficult for engineers and data analysts to find the information they require for their work. This leads to disparate data silos, as well as inconsistent data sets, in addition to other issues with data quality which can hinder the effectiveness and accuracy of BI and Analytics applications.
A process for managing data can improve visibility, reliability and security while allowing teams to better know their customers better and provide relevant content at the right time. It is essential to begin with clear business data goals and then develop a set of best practices that can be developed as the company grows.
A effective process, for example, should support both structured and unstructured data and also sensors and batch workloads, as well as pre-defined business rules and accelerators, plus role-based tools to help analyze and prepare data. It should be scalable enough to accommodate the workflow of any department. It must also be flexible enough to allow machine learning integration and support different taxonomies. It should also be simple to use, with integrated solutions for collaboration and governance councils.