We provide services to other organisations on creating a database for data collection with CSPro; we assist to collect data, we also analyse to generate useful information for decision making. Moreover, we assist other organisations to prepare data management and privacy policies. Click on the title of this article above to read more.
Data management is an administrative process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users. Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. Effective data management is a crucial piece of deploying the IT systems that run business applications and provide analytical information to help drive operational decision-making and strategic planning by corporate executives, business managers and other end users.
The data management process includes a combination of different functions that collectively aim to make sure that the data in corporate systems is accurate, available and accessible. Most of the required work is done by IT and data management teams, but business users typically also participate in some parts of the process to ensure that the data meets their needs and to get them on board with policies governing its use.
Importance of data management
Data increasingly is seen as a corporate asset than any other physical assets due to;
- to make more-informed business decisions,
- improve marketing campaigns,
- optimize business operations and reduce costs,
All with the goal of increasing revenue and profits. But a lack of proper data management can saddle organizations with incompatible data, inconsistent datasets and data quality problems that limit their ability to run business intelligence (BI) and analytics application.
Sources of data
There are two main sources of data;
- Primary sources: Includes conducting interviews with questionnaires, interview guides, checklist or observation sheet, conduct experiments
- Secondary sources: are those data collected from third-party entities such as museums or stored from any database. The research does not own or create the data but rather obtain from other entities.
Data management challenges
- Lack of proper infrastructures (storage and collection systems)
- Use of hard copy (papers) documents to collect and store data
- Lack of trained and skilled personnel to manage data
- Lack of training build internal capacity to the organisation
Good practices of data management
- Inclusion data and privacy policies in the organisation policy
- Building internal capacity to employees on data management
- Availability of proper data management infrastructure (collection, storage, quality and access)
- Use of Information and Communication technologies in managing data