Data Platforms & Analytics

Promise trusted data. Faster decisions, Lower cost, KRITIS‑grade security and compliance by design.

Empowering smarter decisions through BI, DWH, Data Lakes and advanced analytics tailored to your business needs.

What You Gain

  • Reliable data: clear ownership, lineage, and quality checks
  • Speed to insight: optimized semantic models and governed self‑service
  • Elastic cost: scale up when needed, scale down when not
  • Controlled access: row‑/column‑level security and data contracts
  • Audit confidence: PII handling, retention, approvals, and evidence
  • Operational calm: automated deployments, tests, and monitoring

Our Strategy

Discover

Map business goals, data domains, KPIs, and risks

Design

Target architecture, governance, security baselines, cost model.

Build

Platform, pipelines, models, BI assets, catalog, and lineage

Automate

CI/CD for data, policy‑as‑code, tests, and approvals

Operate

SLIs/SLOs, observability, performance and cost reviews

Our end to end solutions

Platform & Foundation

  • Lakehouse/Fabric or your stack; secure networking and identity
  • Key custody (BYOK/CMK), private endpoints, secrets management
  • Workspace, tenancy, and environment segregation

ETL/ELT Ingestion & Processing

  • Batch/stream, CDC, and orchestration
  • Data quality (freshness, completeness, accuracy) with enforced thresholds
  • Reconciliation and late‑arriving data handling

Data Modeling

  • Data Vault 2.0 for agile ingestion; Star Schema for BI speed
  • SCD strategies, partitioning, indexing, and performance tuning

BI & Consumption & Data Modeling

  • Power BI / Tableau / Spotfire / Fabric semantic models.
  • Certified datasets, RLS/CLS, usage governance, and performance optimizations.
  • Embedded analytics and controlled data sharing

Metadata, Catalog & Governance

  • Business glossary, ownership, stewardship roles
  • End‑to‑end lineage and impact analysis
  • Data contracts between producers and consumers

Operations, Observability & FinOps

  • CI/CD for data assets and pipelines
  • Monitoring, alert hygiene, drift detection, and rollback plans
  • Cost guardrails, workload isolation, autoscale/pause‑resume

Risk Reduction & Compliance

  • Power BI / Tableau / Spotfire / Fabric semantic models.
  • Certified datasets, RLS/CLS, usage governance, and performance optimizations.
  • Embedded analytics and controlled data sharing

Best Practices We Apply

  • Domain‑oriented design; “secure by default, open by exception”
  • Medallion/layered architecture with certified outputs
  • Versioned pipelines, tests as gates, and policy‑as‑code
  • FinOps for analytics: cache strategy, workload isolation, elastic scaling

KPIs We Move

  • Time‑to‑data: faster from source to dashboard
  • Freshness & uptime: SLOs for critical datasets
  • Quality: failed‑validation rates trending down
  • Adoption: certified datasets used more than uncataloged ones
  • Cost/Insight: cost per query/report optimized
Unlock Your Business Potential with Insight 42

Leverage AI, Cloud, and Automation to drive efficiency, security, and growth for your organization.

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