Services

Nos savoir faire

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


Data Analytics/BI

We also provide benefits such as overtime compensation, paid time off, and minimum wage.