The increasing complexity of information systems, the growth in the volume of information to be managed, and the multiplication of regulatory constraints require data managers to strengthen their knowledge of their own (at least essential) data. Necessary for understanding the uses and life cycle associated with them, they are essential for business activity.
Dispersion and redundancy, inconsistencies or divergences in reference data, disagreements on the intrinsic value of data or incorrect definitions, difficulties in sharing and accessing or manipulating them, constitute real constraints and points of weakness for the modern company.
The DATAZEN supports you in meeting your new business requirements (regulations, responsiveness to the market, relevance for customers, efficiency for employees, control of operational risks) and assists you in setting up unified management of your company's reference data, as well as your life cycles.
Our Data expertise covers Big Data and Business Intelligence (BI) dimensions.
We intervene upstream and downstream of data discussions:
- Definition of a “data” strategy;
- Identification of reference data and positioning of repositories;
- Development of data quality standards;
- Study and implementation of exchange and usage policies;
- Regulatory compliance;
- Analysis, qualification and perspective of data (Data Analysis, Data Science);
- Design of an architectural reference;
- Integration of Data architecture (infrastructure and software).
In addition, the DATAZEN considers the possibilities provided by service-oriented architectures, but especially by "APIsation" strategies, the division into micro-services, and a fortiori the emergence of so-called "reactive" architectures, as major levers for increasing the agility and adaptability of Information Systems.
The development and strengthening of mastery of all technologies and exchange management strategies constitutes for the DATAZEN the strategic investment axis of the IT department, inseparable from real mastery of its reference data, to enable the company to switch to a “Data Centric” model.