About the quality of the information
All data that are stored or transit by the company’s information IT are not of equal importance. Organisation is therefore required. Master data Management (or MDM) is essentially about the data. This is the data (such as Customer data, suppliers, products, employees, subcontractors, accountants, contractuals, etc.) for which there should be absolutely no risk of error.
Identify & Characterize
When you look at the information in the company, you see that there is no single shared views. In general, many views coexist:
– the global view of the company (mostly focussed on its mission and on the satisfaction of the customers and/or shareholders) brings its specific terms more or less well defined;
– the Business views are (too) often in silos. The information is translated into a language specific to the relevant trade (behind the same term can hide many implicit definitions). It is chosen according to the objectives and constraints related to the domain (and which do not necessarily compliant with the objectives of the company);
– finally the IT department view which (too often) imperfectly translates the business and the company vision views. Of course, it also has its own objectives, its own language and its specific constraints.
Organise & Develop
A data is a raw element that has not yet been interpreted or put into context. Contextualizing a data creates added value which leads to information. When you understand information, then you acquires a knowledge (tacit or explicit) which (normally) brings you more competence.
Data Lifecycle Management (or DLM) allows you to organize and manage data for a company throughout their lifetime: from creation to erasing (or archiving) whenever they become obsolete.
The DLM must be coupled with Information Lifecycle Management (or ILM). ILM is generally defined as the “data and metadata management process that describes information from its conception to its destruction”.
Designer & Design
The organisation, the structuring and the standardisation of the reference data are not only a technical problem. The data carries a richer and more subtle sense than what a simple wording might suggest. Only the holders of this data, i.e. those who produce or use it, know its precise meaning.
Without establishing a healthy relationship with the “data owners”, it is impossible to establish a reference that is relevant and useful. Our experts help you to extract this meaning and to share it.
Also organising the data is not enough: the management of their quality (or DQM for Data quality Management) is an integral part of MDM. In this context, the objective of the DQM is to guarantee perfect usable data independently from their origin. A data is usable when it is just, reliable, available and consistent with other processed data. Without DQM, a repository cannot function properly.