Enterprise data management is not about building a data product or an application, but it is an enterprise level service for helping businesses to become data driven. Data management teams work closely with data architecture teams to build the necessary systems, but their main focus is on building various processes for effectively managing enterprise data.

The key pillars of enterprise data management are:

Data Security

Enterprise data contains a lot of sensitive and confidential information about customer, business, employees, vendors and products. This information should be secured and should only be accessible to authorised people. Data management is responsible to define and enforce the data security policies.

Data Access

For building a data driven organization, enterprise data should be available and accessible to all business users who need it. Data should be available to them in the format that they need it, at the time when they need it, and at the location where they need it. Data management is responsible to ensure that data is easily available to the business users.

Data Integration

Data is of little use to business, if it is not integrated. Fragmented data can lead to half knowledge, which is dangerous to the business. Data governance team needs to ensure that the data accessible to the business users provides  a complete integrated view of the business entities.

Data Quality

The quality of data dictates its effectiveness to the business. If the quality of data deteriorates with time, business users quickly lose trust on data and resort to other ways of doing business, which makes it highly people dependent. Data management team is responsible to monitor data quality, and improve it on an ongoing basis.