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Audit Data Quality
Objective
- Make an inventory of your data
Actions
- Identify and analyze your sources of exploited and non-exploited data.
- Assess the data processing pipelines.
- Analyze the data update processes.
- Audit the compliance of processes with GDPR standards.
- Deduplication, reconciliation and data reliability rules.
Reports
- A detailed audit report presented during a feedback meeting.
- A note of recommendations.
- Evolution processes of your data management to be implemented.
Data Engineering
Objective
- Structure the data and its environment.
Actions
- Optimal design and configuration of the data platform.
- Build the data lake.
- Design and deployment of the Big Data infrastructure.
- Design of SQL / NoSQL databases.
- Data reliability.
- Standardization
- Deduplication
- Data enrichment
- Data encryption.
- Optimization of data access