Operating model definition & Operationalization
Through targeted workshops and based on recognized frameworks, our experts help customers design and implement data and AI governance capabilities and enablers. Areas of focus include people (accountabilities, organizational change, skills and culture), policies, processes and technology. In addition, key indicators that help assess the current state of the organization and track progress at a regular pace are defined and implemented as part of the operating model.
Data Catalog & Data Governance solution implementation
We help customers in the implementation of packaged Data Catalog and Data Governance solutions. From the definition of an operating model, to the implementation of a Data Enablement Center or Competence Center, through the implementation of agile use cases, our experts assist data teams in the different stages of their data transformation programs.
Value assessment and prioritisation
Our team supports our customers in the implementation of improvements to existing Data Management capabilities with an approach that is aligned with the company's strategy. Through a series of workshops and interviews, our experts perform a value analysis based on a set of dimensions including: financial impact (market share, risks), customer impact (customer relationship), internal impact (efficiency, satisfaction) and transformation impact (knowledge, innovation). As a result, quick wins and value areas are identified and can prioritised subsequently.
Our team helps our customers measure the maturity level of the company's data management capabilities. The strength and effectiveness of existing practices are characterized using standardized maturity levels ranging from "0-Absence of Capacity" or "1-Ad Hoc" to "5-Optimized". Based on these results and in alignment with the company's Data strategy, our team of experts helps you identify a target, define a roadmap and launch the implementation of the missing capabilities.