Data governance that is measured, not assumed.

A governance cycle that runs inside the platform — with a DPDP workspace built on the same governed data, so privacy obligations are evidenced, not just documented.

The governance cycle

Seven steps, one continuous loop.

Each step is a working screen in the platform with an owner, a measure and an audit trail.

01Know what you holdAsset register of every table and dataset
02Share a languageGlossary and data dictionary
03Assign accountabilityNamed stewards and RACI
04ClassifyPublic to restricted, with PII tagged
05Measure qualityRules, scores and failing records
06Set policyRetention, access, sharing and incident
07Share with controlAgreements and approved requests
03 · Data Governance

One view of your data estate.

Governance becomes a score management can track, rather than a binder of policy no one reads.

  • Classification at column level. Public, internal, confidential or restricted — with personal data tagged. It drives masking, retention and who may see what.
  • Quality as a number. Rules run across the data and produce a score, with the failing records listed for correction.
  • Accountability by name. Every dataset has a steward. A RACI matrix maps each data domain to the people responsible.
  • Policy tied to law. A policy library mapped to the instruments it implements, from the IT Act to national data-sharing and geospatial policies.
Data Governance · Overview
Synthetic data
OverviewAssetsGlossaryStewardshipClassificationQualityPolicySharing
Registered data assets1,284▲ 38 this quarter
Stewardship coverage96%▲ 4 pts
Quality score92▲ 3 pts
Open issues7▼ 5 closed
Classification column level
ColumnDatasetClassTagControl
mobile_numberService requestsRestrictedPIIMasked
vendor_tax_idContract ledgerRestrictedPIITokenised
contract_valueContract ledgerConfidential—Role-based
survey_chainageAsset registerInternal—None
ward_codeLand parcelsPublic—None
Stewardship RACI
DomainStewardOwnerDPOIT
AssetsRACI
ContractsARCI
Citizen dataCARI
GeospatialRAIC
Policy library 6 policies in force
ClassificationRetentionAccessSharingIncident handlingGeospatial data
04 · DPDP Platform

Privacy obligations, run as workflows.

Built around the Digital Personal Data Protection Act and Rules, and connected to the catalogue, so personal data is found, not guessed at.

  • Processing record. Each activity with its data, lawful basis, recipients and retention period.
  • Notice and consent. Consent stored in a tamper-evident ledger. Withdrawal is as easy as giving consent.
  • Rights requests. Access, correction and erasure tracked against their statutory clocks, with the steward in the loop.
  • Breach, processors, impact. Breach logs and reporting workflow, processor agreements, impact assessments and certified destruction.
  • Personal-data scanner. Finds personal data in tables, and records every reveal.
DPDP Compliance · Workspace
Synthetic data
ReadinessProcessing recordConsentRightsBreachProcessorsImpact assessments
Readiness against the Act and Rules
Notice & consent
92
Processing record
85
Rights requests
78
Breach readiness
70
Processors
64
Impact assessments
55
Rights requests time remaining
RequestStatusDue in
AccessOpen—
CorrectionIn review—
ErasureAwaiting steward—
Consent ledger tamper-evident
TimePurposeStatusHash
10:42Service updatesGranteda91f…03c2
10:37Programme surveyGranted73be…e11a
10:21Service updatesWithdrawn5d08…9a47
09:58Programme surveyGrantedc2f4…18bd
Breach response simulation
Statutory clock—
✓  Detect and contain
✓  Assess personal data affected
●  Report to the Board
○  Notify data principals
Illustrative workflow. Legal timelines are configurable and should be confirmed with counsel.
One framework, three lenses

Governance, security and privacy — together.

A gap in one becomes exposure in the others. We design them as a single framework.

Corporate governance

Board-level direction and monitoring, IT general controls and maturity scoring, aligned to COBIT 2019 and audit expectations.

Information security

Controls, incident reporting and log retention, aligned to ISO/IEC 27001 and national cyber directions. See assurance →

Privacy compliance

Consent, records of processing and data-principal rights, aligned to the DPDP Act and ISO/IEC 27701.

Advisory

Framework first. Vendor-neutral.

Technology comes after a documented study — so every decision stands up to audit.

01

System study

Map infrastructure and data flows; classify every data asset; build a risk register.

02

Policy framework

Classification and access policies, incident response plan and a DPDP-aligned consent framework.

03

Specification

A technology specification based on confirmed gaps only, ready for competitive procurement.

04

Continuous monitoring

Quarterly reviews, a board data dashboard and an annual audit cycle.

Know where you stand, before you buy anything.

An independent data and privacy gap study shows what you hold, what is exposed and what to do first.

Talk to usSee the platform