Data Platforms & Analytics

One Set of Numbers Leadership Trusts: Faster Reports, Lower Cost, Audit-Ready

Get Your Data Platform Plan

What You Gain

  • Reliable data: clear owners and quality checks end number debates
  • Faster reports: teams build their own reports safely, without waiting on IT
  • Lower reporting cost: automated pipelines replace manual report work
  • Controlled access: sensitive data visible only to those who need it
  • Audit-ready: personal data, retention and approvals documented with evidence
  • Operational calm: automated tests and monitoring catch errors early

Five Steps From Scattered Data to Trusted Numbers

Discover

Map goals, KPIs and risks, so you build only what pays off

Design

Architecture, security and a cost model you approve up front.

Build

Platform, pipelines, models and dashboards, traceable end to end

Automate

Automated tests and approvals on every change

Operate

Agreed service levels, monitoring and regular cost reviews

Everything You Need, From One Team

Platform & Foundation: Secure From the Start

  • Lakehouse/Fabric or your existing stack, with secure network and identity
  • You keep the keys (BYOK/CMK); secrets and endpoints stay private
  • Separated environments keep tests away from production

Find out where your data costs you time and money, and what fixing it takes. Start with a data platform assessment.

Get Your Data Platform Plan

Compliance: Evidence Ready When the Auditor Asks

  • Data classification and PII controls
  • Row-/column-level access and least privilege
  • End-to-end lineage and accountable ownership
  • Retention and deletion policies
  • Encryption and BYOK/CMK where required
  • Audit logging and access reviews
  • Data contracts and policy enforcement
  • Evidence for compliance and internal audit

Practices That Keep Costs and Risks Down

  • Domain‑oriented design; “secure by default, open by exception”
  • Medallion layers: only certified data reaches reports
  • Versioned pipelines, tests and Policy-as-Code gate every change
  • FinOps for analytics: cache strategy, workload isolation, elastic scaling

Results You Can Measure

  • Time‑to‑data: faster from source to dashboard
  • Freshness & uptime: agreed targets for critical datasets
  • Quality: failed‑validation rates trending down
  • Adoption: certified datasets used more than uncataloged ones
  • Cost per report: measured and reduced per query and report
Your Next Step

Get a clear plan for your data platform: risks, costs and next steps, before you commit budget.

Why Insight42

  • Pass audits with less effort: architectures aligned with BSI C5, NIS2 and GDPR from day one, for enterprises and public-sector organizations in Germany and Europe.
  • One accountable team: assessment, architecture, implementation and operations from one source. No hand-offs, no finger-pointing, less coordination for you. Founded and led by Martin-Peter Lambert in Ingolstadt.
  • Results that run in production: we build and run our own products (Secretary42, Unimatrix-OI, InheritanceVault) and bring the same discipline to your project.
  • You stay in control: data residency, key custody (BYOK/HYOK) and a documented exit strategy are built in from day one, not bolted on later.

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