Our Services

Data Management

Turn scattered data into a trusted strategic asset.

Layered data centers illustrating BIART data management pipelines

Turning enterprise data into a strategic asset

Data only becomes a strategic power when it is collected, managed and made accessible the right way. At BIART we design end-to-end data management solutions for banking, insurance, manufacturing, retail and the public sector — transforming raw information into a reliable foundation for analytics and operations.

Why enterprise data management?

  • A single source of truth: shared definitions and centralized ownership instead of duplicate, inconsistent records.
  • Regulatory readiness: traceability aligned with GDPR, KVKK and sector audits.
  • Lower cost: optimized storage with archiving, lifecycle and retention policies.
  • Faster decisions: trustworthy, current data for reports and AI models.

What we deliver

  • Master & reference data management for customers, products, locations and chart of accounts.
  • Data warehouse and lakehouse architectures that scale for structured and unstructured workloads.
  • Data quality — profiling, rule engines, cleansing and continuous monitoring.
  • Data integration — ETL/ELT, CDC, messaging and API pipelines.
  • Data governance — ownership, classification, identity and access control.
  • Metadata and data catalog — documented business terms and searchable lineage.

How we work

  1. Discovery & maturity assessment
  2. Target architecture and roadmap
  3. Pilot delivery and quality framework
  4. Rollout and enablement
  5. Managed support and measurement

Talk to the BIART Data Management team to start turning your data into a strategic asset.

Frequently Asked Questions

How long does a data management project take?

Pilots are typically delivered in 6–12 weeks. Enterprise rollout is phased over 3–9 months depending on scope.

Do we need to replace our existing data warehouse?

No. We migrate incrementally to the target architecture and protect existing investments as much as possible.

How do you measure data quality?

We score data across completeness, consistency, accuracy, uniqueness, validity and timeliness with automated dashboards.

Do you support GDPR and KVKK compliance?

Yes. Personal-data inventory, classification, masking and access control are part of our standard scope.

Do you support both cloud and on-premise?

We support cloud, on-premise and hybrid deployments. Technology choice is made together based on your needs.

Let's work together

Contact

Let's work together on your project.

Get in Touch