Enterprise data management (EDM) is the ability of companies to acquire, store, and process data from multiple sources. It is a comprehensive approach to integrating, governing, protecting, and disseminating data. EDM helps ensure the collection of rich raw data through ETL and proper storage in a data warehouse. To turn data into an actionable asset, an enterprise data management platform is needed.
Ingestion is the first step in the integration process, which includes cleaning, transformation, and ETL mapping. Data integration consolidates a company's data from different sources into an easily accessible location. Extract, Transform, Load (ETL) defines the processes that a data pipeline uses to obtain and recreate data from a system and replicate it to a target system, such as a data warehouse. Structured and unstructured data are the primary forms of business data.
An experienced EDM officer can help elucidate the risks associated with managing customer data and prepare the organization to deal with these risks. Data integration allows analytics solutions to generate business intelligence that is actionable and effective. Mastering data at the entity level is required in most industries. Reference architectures serve as a guide for creators of data-based applications that leverage the Actian product portfolio.
Business transformation allows companies to change with agility based on customer trends and desires. To ensure successful business data management, contributions from leaders from all business units in an organization are necessary. Additionally, companies must provide details about how they will maintain the quality of their data.
