Managing Data for use by the machine and the human
One of the key features of a Data Strategy for a data driven business is that data will be managed for use firstly by the machine, then by the human. The machine helps the human to manage data.
In addition to having a clear data model, this requires labelling data using meta data and an ontology to make the data usable by the machine.
The data can then be listed in a data catalogue.
Embed collaboration between people & machines
The human role in data management is to determine what data is needed and review the quality and fitness for purpose of data.
The machine can do the analytical work of finding, collecting, sorting and organising data on behalf of the human.
This enables a new collaboration between the machine and the human.
Define how you will manage your Data, Metadata, and Masterdata
Considering the Data Architecture module, define how you plan to manage data using meta data, an ontology and master data.
The market offers tools for user access and authorisation, masterdata management, quality management, security management and performance management. The following links of suppliers and products are intended purely as examples for your information (we are independent of these organisations).
- Data Management tools (including visualisation).
- Data Management Platform tools.
- Data Quality Management tools.
- User Authentication and Access Management tools.
There are new types of tools on offer also:
- Microsoft data lakehouses,
- Overview of data mesh approach and components
- Tools for elastic search.
Review the available tools and determine how you will make a choice of a set of tools for your organisation.