CAREERS
    CONTACT US
    sbi_logo_positif240x240px_cropped

    DATA MANAGEMENT

    Industrialize your data management to make it a truly strategic asset

    THE CHALLENGES OF MODERN DATA MANAGEMENT

    Data Management is the implementation and governance of data flows, transformations, and storage formats that meet business needs. As the cornerstone of an effective data strategy, Data Management ensures your data is not only reliable and compliant, but also easily usable by your business teams.

    Data quality at scale 

    The growing number of sources and data volumes makes data qualification more complex. Effective Data Management detects anomalies at the source and ensures quality throughout the entire data lifecycle.

    Operational performance 

    Business teams require fresh and reliable real-time data. Data pipelines must be optimized to deliver this responsiveness while maintaining a high level of quality.

    Regulatory compliance 

     GDPR, CCPA, industry regulations, and more — compliance requirements keep increasing. Data Management must incorporate these constraints while remaining agile.

    Traceability and transparency 

     Every data item must be traceable from its source to its end use. This traceability is essential for trust and compliance. 

    THE BENEFITS OF DATA MANAGEMENT

     For IT teams  For business teams
    • Reduced production incidents
    • Automation of repetitive tasks
    • Better system maintainability
    • Clear, up-to-date documentation
    • Reliable data available faster
    • Better understanding of available data
    • Increased autonomy in using data
    • Greater confidence in decision-making

     

    Maximize the value of your enterprise data: our structured approach to Data Management

    Build your Data Management excellence with SBI

    Our certified experts support you to:
     
    • Assess your current maturity level
    • Define your Data Management strategy
    • Implement the right solutions
    • Ensure knowledge transfer
    SBI Web post-it-1

    A mastered value chain

    We orchestrate the entire data processing value chain according to the standards defined by our Data Architects and with the rigor of modern DevOps practices, ensuring quality and production performance:
     
    • Collection from source systems
    • Transformations based on business specifications
    • Storage in the appropriate formats
    • Delivery of data assets to users

    Guaranteed service quality 

     Quality is at the heart of our Data Management approach. It starts with the intrinsic quality of data: accuracy, consistency, and completeness. Beyond that, we pay particular attention to the performance of production data flows, which is critical to meet business needs for increasing responsiveness. Compliance with regulations is built into every step of the process, from collection to usage. Finally, we ensure the rationalization of shared assets, avoiding costly redundancies and potential inconsistencies.

    Full traceability

    Transparency is not an option in modern Data Management — it is an absolute necessity. Our methodology places documentation at the core of the process. Every system change is documented comprehensively, making it possible to understand not only the “what” but also the “why” behind the transformations performed, with rigorous version control. End-to-end traceability of data, from source to usage (data lineage), helps meet the strictest compliance requirements and makes it easier to resolve potential anomalies. Involving business stakeholders at every stage ensures not only the relevance of transformations, but also adoption of the solutions delivered. The result? Maintainable, high-performing data systems fully aligned with your business needs.

     OUR MAIN DATA PARTNERS