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As data becomes the basis for business applications, organizations are implementing more and the latest software for managing data to ensure that they have access reliable and accurate data. This in turn results in better decision-making and increased profitability. If the goal is to increase efficiency at the workplace, enhance innovation in product development or decrease risk, tools for managing data help achieve these goals by automating workflows and increasing communication between team members.
The most effective data management software can bring disparate data sources into a single platform that allows users to easily categorize, recognize, and access them intuitively. This allows businesses to stay clear of a mess of information and instead present a collection of data that is relevant to the domain’s teams and human experts who can understand and utilize it. In essence, data management tools simplify processes to provide an efficient way to access and make use of a company’s most valuable asset.
Cloud-based data management tools enable a reduction in infrastructure costs and an increase in the speed of new data processing. Apart from managing and storing data, many of these applications also provide other data services, such as metadata management and visualization of data lineage.
Some of the most popular software for data management include master data management (MDM) that creates common sets of data about customers, products and other entities and data warehouse (DW) software that makes use of dedicated hardware to store huge volumes of structured and unstructured data. Other tools, like Hadoop and other distributed data platforms, allow users to analyze and process large amounts of unstructured data. These solutions are often equipped with advanced features such as the ability to scale architectures, real-time information streaming, and scalable architectures.
software-served.com/2021/06/25/how-to-perform-a-factory-data-recovery/
