Corporate data turn into a weighty argument of competitive advantage. Effective data management lets you considerably improve business orchestration, business forecasting and operational monitoring. Data quality depends on how much they are reliable, consistent and relevant, how quickly they are available for making operational decisions.
To whom is addressed
To the heads of independent units (businesses), the head of finance, the head of the project office and the head of information technology.
Goal and Objectives
The goal is an independent assessment of the effectiveness of enterprise data management.
evaluate the current level of information support for business
build a general information model of a top-level enterprise
assess the quality of corporate data and its impact on the efficiency of business processes
assess the level of maturity of integration and the regulatory reference system
formulate recommendations for improving the quality of corporate data management
Map of functions (processes) with data quality indicators
General Information Model of a Top-Level Business
Assessing the level of maturity of integration and management of NSIs
Best practices for improving the management of enterprise data.
Strategic planning for the system integration project