Governance frameworks that hold up under audit, and Technical Business Analysts who speak both SQL and stakeholder — data stewardship, master data management, and requirements work delivered offshore under your MSA.
Data governance is the set of ownership, definitions, lineage, and quality controls that keep data trustworthy and audit-ready; a Technical Business Analyst is the bridge who turns business questions into validated data specifications. Thinklens delivers both offshore under your MSA. Governance work includes stewardship frameworks (data-domain ownership, RACI, business glossaries), master data management with golden-record and survivorship rules across SAP MM and Workday domains, policy and source-to-report lineage mapped to GDPR, HIPAA, and SOC 2 controls, and quality KPIs published on a stewardship dashboard. Thinklens Technical BAs don't hand requirements over a wall — they profile the actual source tables, draft conceptual and dimensional models with source-to-target mappings, and prototype the target report in SQL, Power BI, Tableau, or Spotfire before a sprint is committed. The result: ambiguity resolved in discovery, not discovered in UAT.
Governance fails when it lives in a PowerPoint. We build stewardship into the daily workflow — ownership, definitions, lineage, and quality KPIs your client's auditors can actually trace.
Data-domain ownership maps, stewardship RACI, and business glossaries with agreed definitions — so "active customer" means the same thing in finance, sales, and the board pack.
Golden-record rules, survivorship logic, and ongoing stewardship for customer, vendor, and material masters — including SAP MM and Workday worker-data domains.
Data-handling policies mapped to client-side controls (GDPR, HIPAA, SOC 2), source-to-report lineage documentation, and change logs that make audit season a non-event.
Completeness, validity, and freshness metrics per domain, published on a stewardship dashboard — governance you can see slipping before it becomes a data incident.
Our Technical BAs don't hand requirements over a wall. They query the source systems themselves, draft the data model, and prototype in the BI tool — so engineering builds from validated specs, not guesses.
Stakeholder workshops paired with hands-on profiling of the actual source tables — SAP, Workday, or warehouse — so requirements reflect the data that exists, not the data everyone assumes exists.
Conceptual and dimensional models, source-to-target mapping documents, and transformation rules written precisely enough that ETL developers and testers work from the same single source of truth.
Fluent in SQL, Power BI, Tableau, and Spotfire — our BAs mock up the target report against live data and walk stakeholders through it before a sprint is committed.
A Technical BA who can query is the cheapest insurance a data programme can buy — ambiguity gets resolved in discovery, not discovered in UAT.
Stewardship frameworks (ownership, RACI, business glossaries), master data management with survivorship rules, policy and source-to-report lineage mapped to GDPR, HIPAA, and SOC 2, and quality KPIs published on a stewardship dashboard.
They query source systems themselves, draft data models and source-to-target mappings, and prototype in SQL, Power BI, Tableau, or Spotfire — so engineering builds from validated specs, not guesses.
Yes — golden-record and survivorship rules across SAP MM and Workday worker-data domains, with documented lineage and change control.
Fully registered in India (GST, PAN, IEC). Transparent contracts and audit-ready processes. A reliable offshore team with proven delivery — the three things every overseas partner wants on day one.
Request our compliance packAn unfilled seat isn't neutral — every week it stays empty is a slipped deadline or a client conversation you'd rather not have. Tell us the gap before it costs you one, and we'll line up the right senior consultant, remotely, with fast ramp-up.
An overflow crunch, a long-term mandate, ongoing support, or training — tell us what you need and we'll move fast.
Take these with you — free, no email wall, no strings:
01 ETL Testing Tools Checklist 02 Power BI vs Tableau vs Spotfire 03 What is ETL Testing? A plain-English guide