Intelligent Data Governance
Data governance is an essential step before moving towards the digital transformation of your business.
Whatever infrastructure, solutions or working methods you use, BIAA-GROUP
supports you in your data governance. Since each client is unique, we proceed and document/advise you in the following way:
Review & Analysis
Reflection on your company’s sector of activity, on its needs, on the mapping of your infrastructure and architecture in its internal and external ecosystem.
Research & Collection
Collection and gathering of data, team and process mapping
Study on the impact, business environments, stakeholders and objectives of the company, partners, customers and suppliers
Security analysis, transfer and management of data and transactions, analysis of security procedures
Pilot & Deployment
Implementation of one or more pilots and deployment of the entire infrastructure, architecture, processes and new data project in order to issue the predictive analysis for digitizing your data.
Where do I start?
- Can members of your company access data in a simple and effective way?
- Do your teams work together in an optimized way in order to make the right strategic decisions?
- Does the use of your data add value compared over competitors on the market?
In return, we offer you a free analysis of your situation.
The implementation of a data governance adapted to your structure and your market positioning starts here
Discover all your data for a total reliability
Increase and secure the relationship between your customers and suppliers.
Wherever the data is and in all these formats, we follow this process:
• Intelligent analysis and discovery of all errors in your data, of all your systems and processes.
• Implementation of common data quality rules for all data, in order to save time and resources.
Transformation of your data for strategic value
Quality information so that business users are autonomous. Facilitate collaboration between functional and technical teams :
• Data profiling, cleansing, standardization, validation, enrichment, de-duplication and consolidation.
• Standardization of guidelines and collaboration procedures, visualize your data and make corrections in real time.
Process automatization and data security
Process automatization is the step that saves you time and avoids manual errors. Using data in an intelligent and efficient way:
• Predictive analysis using your new data to strengthen B2B / B2C communication.
• Improve data security by establishing data property and increase your credibility with yours customers and partners
