We therefore support our customers in the identification and prioritization of Data use cases that will transform the company tomorrow and in the definition of the operational plan that will allow their proper implementation.
Our unique ability to leverage the triple expertise of Data Strategy, Data Science and Data Architecture enables us to deliver a complete, tangible and implementable data transformation.
Data Labs cut off from business challenges that do not reach the stage of industrialization ... We meet many companies that fail to derive value from their data despite the implementation of a dedicated strategic plan. The definition of good organization and good governance bodies are key to successful data transformation.
Our convictions to succeed this project are:
- The organizational model should encourage the identification and implementation of important use cases for trades
- It is necessary to anticipate the capacity of each company to deliver operational services and all the constraints related to the scaling up of projects
- Imagine new collaborative processes to accelerate transformation
- We assist our clients in selecting the right organizational scenarios , in defining the roles and responsibilities of each entity throughout a data project and associated governance bodies.
The purpose of data governance is to promote access and usability to a defined, quality, secure and compliant data. It is therefore an essential task to accelerate the efficient exploitation of its data. A complete program of data governance is based on 4 pillars:
- Accessibility
- Quality and integrity
- Regulatory compliance
- Confidentiality and security.
We assist our clients in the definition and implementation of data governance programs, including the following levers:
- Define the roles, tasks and governance bodies of data managers, data stewards, data owners, etc.
- Define the right processes throughout the data life cycle
- Sharing the right data exploitation policies according to regulatory constraints and business issues
- Select the right tools to perform good data governance: data management, data dictionary, etc.
Source: Data Consulting
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