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Solutions · 02 · Data management & analytics

Make your data trusted, shared and ready for AI.

Platforms for data quality, master data, lineage, governance, warehousing and analytics, implemented to SDAIA and NDMO standards. Turn complex data sets into clear, actionable insight.

SDAIA · NDMOStandards built into every data platform we deliver
7,000+Hotels' data cleansed, quality-checked and blended for the Ministry of Tourism
Quest erwinStrategic partner for data intelligence and governance

Why it matters

Most organizations do not have an AI problem. They have a data problem.

Where most organizations are

  • Data scattered across dozens of systems
  • Weak lineage and inconsistent governance
  • Quality issues that undermine reports and AI
  • NDI and PDPL compliance that is hard to prove

What you gain with us

  • One trusted view of your critical data
  • Catalog, lineage and quality you can show auditors
  • Analytics that predict trends and optimize operations
  • A trust layer that lets enterprise AI scale

Capabilities

Everything between raw data and a confident decision.

Data quality

Profiling, cleansing, blending and monitoring, so reports and models run on data you can trust.

Master and reference data

A single, governed version of your citizens, customers, assets and codes.

Catalog and lineage

Metadata, business glossary and lineage that show where data comes from and who owns it.

Governance and classification

Policies, classification and personal data protection aligned with SDAIA, NDMO and PDPL.

Warehousing and preparation

Data of any volume, variety or velocity, prepared and modeled for analysis.

Analytics and visualization

Dashboards plus AI-driven predictive and prescriptive analytics that spot trends early.

Strategy and platform, together

From a Data Management Office to data in daily use.

Our consultancy practice sets up and runs your Data Management Office. Our platform teams then implement the tools it needs. One partner, no gap between policy and practice.

  1. 1
    Establish the Data Management Office

    Roles, policies and operating model to SDAIA-NDMO rules.

  2. 2
    Meet National Data Index requirements

    Governance, quality, operations and lifecycle from creation to disposal.

  3. 3
    Implement the platforms

    Catalog, lineage, quality, master data and analytics, integrated with your systems.

  4. 4
    Reach PDPL compliance

    Minimization, transparency and accountability for personal data.