Data Management

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Data management is the process of collecting, organizing, and storing an organization’s data so it can be used to make business decisions. It’s important because organizations are creating and consuming data at a rapid rate.

Data Governance Establishes guidelines and protocols to ensure data is consistent and used efficiently. It also helps prevent errors and misuse of sensitive data.

Data quality management Uses tools and processes to ensure data is high quality so it can be used to make decisions and solve problems. .

Data integration combines data from different sources, formats, and systems to create a unified view of the organization’s data.

Master data management (MDM) Creates and maintains a single source of truth for critical business data. This includes creating a master record for each person, place, or thing in a business.

Data architecture Defines how data is structured and how it flows between systems. This includes selecting storage solutions like relational databases and cloud storage.

data that is workable is data
that works!

Data increasingly is seen as a corporate asset that can be used to make better-informed business decisions, improve marketing campaigns, optimize business operations and reduce costs, all with the goal of increasing revenue and profits.

Data management has also grown in importance due to an increasing number of regulatory compliance requirements, including data privacy and protection laws such as GDPR and the California Consumer Privacy Act (CCPA). Without good data management, such environments can become unwieldy and hard to navigate.