Governance, cloud and FinOps

The right data to the right people, at a cost you can explain


Governance is not a phase at the end of the project. It is what lets you scale into artificial intelligence without losing control of who sees what — and FinOps is what keeps the cloud bill matched to what is actually used.

When this family makes sense


The services
01

Data governance and security

Who sees what, and how you prove it

Roles, access policies, data lineage and catalog. Row-level and column-level security so the same dashboard shows each person only their own scope.

What it covers

  • Role and access model
  • Row- and column-level security
  • Data catalog and lineage
  • Access review procedure
  • Sensitive data classification

Deliverables

  • Documented and implemented access model
  • Published catalog
  • Review procedure with named owners

Tools and roles

Microsoft PurviewAWS Lake FormationDataplexData governance lead

The payoff

You can answer «who saw this, and when» without opening a ticket.

02

Cloud architecture and FinOps

Pay for what you use, and know why

Sizing, reserved capacity, workload scheduling and cost attribution by area. Cloud spend stops being one opaque line and becomes a number each owner can act on.

What it covers

  • Current spend baseline and waste analysis
  • Right-sizing and reserved capacity
  • Scheduling for non-production workloads
  • Tagging and cost allocation by area
  • Monthly review routine

Deliverables

  • Cost dashboard by area
  • Savings plan with an estimate
  • Monthly FinOps routine

Tools and roles

AWS Cost ExplorerAzure Cost ManagementGCP BillingCloud architectFinOps analyst

The payoff

The bill becomes predictable and each area sees what it is spending.

Scitis

Let's start by understanding what you need

The discovery call is free and ends with a recommendation of where to begin.

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