Data Management and Governance

Governance
Policies
Security
Integrity
Management
Continuity

For all projects developed by Babel, data management is crucial for any modern organization, and consists of the process of collecting, storing, protecting and using data effectively and efficiently. This includes establishing policies, tools and procedures in order to maximise data usability while meeting applicable laws and regulations.

Data is considered a company’s most valuable resource. Data governance is key to its management, and encompasses policies and procedures that enable an organisation to administer security, integrity and accountability through its data use and establish a framework to ensure continuity of operations and technological evolution.

Data Management

Data management involves the collection, storage, protection and use of an organisation’s data. It includes all the policies, tools and procedures that improve data usability within legal and regulatory limits. This is to ensure the continuity of operations.

Data is considered a modern organisation's most valuable resource.

Data Governance

Data governance includes the policies and procedures an organisation implements to manage security, integrity and responsible data use. It defines the data strategy and determines who can access which data. Governance functions typically include:

Implementation of the Maturity model: The current state of the area and the objectives to be achieved is established using DCAM as the DAMA-recommended model.
Monitoring development and implementation: Adoption of good practices, data cleaning and mapping.
Governance: Policy Implementation, Master Data Management, Data Catalogue and Data Lineage.
Data Quality: Implementation of overall data quality model, definition of compliance policies and rules, data QA cycle audit.
Domain implementation and development: Data flow mapping, general framework alignment, generation of RACI matrix by process, generation of full process documentation.