Data management

The three components encompassing data management are ETL, Data quality and Data migration.

In computing, Extract, Transform and Load (ETL) refers to a process in database usage and especially in data warehousing that involves:

  • Extracting data from outside sources
  • Transforming it to fit operational needs (which can include quality levels)
  • Loading it into the end target (database, more specifically, operational data store, data mart or data warehouse)

Data migration is the process of transferring data between storage types, formats, or computer systems

Data Quality refers to the processes and technologies involved in ensuring the conformance of data values to business requirements and acceptance criteria.

Combining the three components, data management can be referred to the process of moving data from various sources to various target systems, performing data transformations based on said guidelines and business rules and applying quality rules and measurements to ensure an effective and expedited delivery of business quality data, albeit it a small data mart or a large data warehouse.


The components of Data management include the extraction of data, the transformation and standardization of data, loading of data to various target systems.

Kwezi Software Solutions Service Offering

Kwezi Software Solutions provides analysis of source systems and providing data quality rules and reports, as well as the management of metadata across the Business Intelligence space.

Tools used in the process include Datastage, Qualitystage, Information analyzer, Business Glossary and Metadata Workbench.

Kwezi Software Solutions provides senior expertise in all facets of the Data management and Business intelligence space. Our in-house consultants are available to advise and implement from the design phase of a project, right through to implementation. Our experts have combined vast experience in the financial, communications and manufacturing sectors.