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Data & Analytics

Data platforms that are ready for AI, not just for reports.

Engineering depth

Make your enterprise data AI-ready.

Modern data engineering, governance, analytics and reliable AI foundations.

Designed for real enterprise requirementsDelivered with accountable engineering teamsSupported through deployment and operations
Data & Analytics at Purview
100%lineage coverage target on governed domains
1trusted source per business domain
AI-readyfeature and vector layers served from the same platform
What Data & Analytics covers

Overview

AI is only as good as the data under it. Purview modernises data estates into governed, AI-ready platforms: pipelines you can trust, lineage you can show a regulator and a semantic layer both analysts and agents can use.

Clients we serve

Who it is for

Chief data officersNeed governance evidence and a semantic layer agents can use.
AI programme leadsModels blocked by data quality or access.
Finance and riskRegulatory reporting from one reconciled source.
OperationsDashboards that match the ledger, every time.
Capabilities

What we deliver

  • Data modernisation and migration
  • Data engineering and DataOps
  • Data visualisation and BI
  • Data science and ML feature stores
  • AI-ready data platforms and vector stores
  • Data governance and quality
Our approach

How we work

  1. AssessInventory sources, quality and ownership; agree the target architecture.
  2. Migrate in wavesHighest-value domains first, with parallel running until parity is proven.
  3. GovernCatalogue, lineage, access control and quality monitoring built in.
  4. Serve AIFeature and vector layers so models and agents consume the same trusted data.
Case in point

Regulatory data platform

Global bank, UK. Migrated reporting domains in waves to a governed platform with lineage, quality monitoring and a semantic layer now consumed by both analysts and agents.

0reconciliation breaks at go-live
Results

Outcomes clients measure

One trusted source per domain
Reports and models on the same data
Regulatory evidence on demand
Technology ecosystem

Platforms and partners

FAQ

Questions we are asked

Snowflake or Databricks?

We certify on both and on Informatica, so we recommend by workload and existing estate, not by partner margin.

How long does modernisation take?

First domain live in a quarter; the full estate in waves with parallel running until parity is proven.

Can you run it afterwards?

Yes, as a managed data platform with SLAs on freshness and quality.