Data management is how companies collect, store, and secure their data to ensure it remains secure and usable. It also includes the tools and processes that support these goals.
The information that runs the majority of businesses comes from multiple sources, and is stored in numerous locations and systems and is often presented in different formats. It can be difficult for engineers and analysts to locate the data they require for their work. This results in data silos that are not compatible as well as inconsistent data sets and other data quality issues that can limit the effectiveness of BI and analytics software and lead to incorrect conclusions.
A process for managing data improves visibility, reliability, and security. It helps teams better understand customers and deliver the appropriate content at the right time. It’s important to start with clear business goals and then develop a https://taeglichedata.de/maintaining-data-processes-throughout-the-information-lifecycle/ set of best practices that can be developed as the company expands.
For instance, a great process should be able to handle both unstructured and structured data, in addition to real-time, batch, and sensor/IoT tasks. In addition, it should provide out of the box business rules and accelerators plus role-based self-service tools that help analyze, prepare and clean data. It should be scalable to fit any department’s workflow. It must also be flexible enough to allow machine learning integration and allow for different taxonomies. Furthermore it should be available through built-in collaborative solutions as well as governance councils for uniformity.