Data Governance & Privacy

Govern Your Data Without
Slowing Your Teams Down

Regulators want proof you control your data. Business teams want fast access to it. We build governance frameworks that satisfy both β€” with automated policies, real-time lineage tracking, and privacy controls that work at enterprise scale.

42%

Data Cataloging

56%

Access Control Maturity

63%

Privacy Compliance

38%

Quality Management

35+ Governance Frameworks Deployed
100% Audit Pass Rate
12 Regulatory Standards Covered
Use Cases

Governance Challenges We Tackle Daily

From GDPR compliance to data democratization β€” governance done right enables both protection and productivity.

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Regulatory Data Compliance

Implement governance controls that satisfy RBI, MAS, OCC, and FCA audit requirements β€” with automated evidence generation that replaces manual compliance spreadsheets.

Banking
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PII Discovery & Protection

Automatically scan data lakes, databases, and file shares to discover PII β€” then apply masking, encryption, and access policies without disrupting existing workflows.

FinTech
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Data Quality Management

Deploy data quality rules across the enterprise β€” detecting anomalies, enforcing standards, and scoring data trustworthiness so teams know what they can rely on.

Enterprise
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Cross-Border Data Transfers

Design data residency architectures and transfer mechanisms that comply with GDPR, India's DPDP Act, and regional data localization requirements.

Global Finance
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Healthcare Data Governance

Build HIPAA-compliant governance frameworks for health data β€” role-based access, audit logging, de-identification, and breach notification workflows.

HealthTech
Core Capabilities

Governance Capabilities We Build

Practical governance tools that your teams will actually use β€” not shelf-ware policies that gather dust.

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Automated Data Cataloging

Crawl your databases, data lakes, and APIs to build a searchable catalog with business definitions, ownership, sensitivity tags, and usage statistics.

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End-to-End Data Lineage

Visual lineage tracking from source to report β€” showing every transformation, aggregation, and join so you can answer "where did this number come from?" instantly.

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Dynamic Data Masking

Role-based masking that shows full data to authorized users and masked values to everyone else β€” applied at query time, not through separate masked copies.

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Policy Automation Engine

Define governance policies as code β€” access rules, retention schedules, quality thresholds β€” and enforce them automatically across all data platforms.

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PII Discovery & Classification

ML-powered scanning that identifies personal data across structured and unstructured sources β€” even when columns are poorly named or data is embedded in free text.

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Data Quality Scorecards

Continuous monitoring of completeness, accuracy, freshness, and consistency β€” with trending dashboards that show governance health at a glance.

How It Works

How We Build Your Governance Framework

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1

Governance Assessment

Audit your current data landscape β€” cataloging systems, mapping data flows, identifying regulatory gaps, and benchmarking against industry governance maturity models.

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2

Policy & Standards Design

Define data ownership, classification schemes, access policies, retention rules, and quality standards β€” aligned with your specific regulatory obligations.

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3

Tooling & Automation Setup

Deploy governance tools β€” data catalog, lineage tracker, quality monitors, and policy engines β€” integrated with your existing data infrastructure.

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4

Role Assignment & Training

Establish data stewardship roles, train teams on governance workflows, and embed governance practices into existing data engineering processes.

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5

Monitoring & Continuous Improvement

Ongoing governance health monitoring, quarterly maturity assessments, and policy refinement as regulations evolve and your data landscape expands.

Next Audit Coming Up and Your Data Governance Is a Mess?

We can have a governance foundation in place in 6-8 weeks β€” let's talk about what your auditors need to see.

Book Free Consultation
πŸ›‘οΈ Governance Outcomes

Good governance isn't a cost center β€” it's a risk eliminator.

Our governance frameworks prevent regulatory fines, reduce data breaches, and give every team confidence in the data they use for decisions β€” all while cutting manual compliance effort by 70%+.

100%
Audit Pass Rate
70%
Less Manual Compliance
$0
Regulatory Fines Post-Deploy
4.2Γ—
Faster Data Access Requests
Key Benefits

Governance That Works in Practice

We have implemented governance for banks, payment processors, and healthcare companies where regulatory scrutiny is constant and mistakes are expensive.

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Regulation-First Framework Design
We start with your specific regulatory requirements β€” GDPR, DPDP, PCI DSS, HIPAA, SOX β€” and design governance controls that satisfy auditors without creating bureaucratic overhead for your teams.
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Automation Over Documentation
Policies that exist only in PDFs don't get followed. We implement governance as automated rules β€” enforced by software, not by hoping people read the policy manual.
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Business-Friendly Data Access
Governance should enable data access, not block it. We build self-service catalog and access request workflows that let analysts get approved data in hours, not weeks.
Why OpenMalo

Why Regulated Companies Trust Our Governance

We have built governance frameworks that passed audits from RBI, MAS, and Big Four firms β€” and we know exactly what they look for.

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Multi-Regulation Expertise
GDPR, DPDP Act, PCI DSS, HIPAA, SOX, MAS TRM β€” we design unified governance frameworks that address multiple regulatory requirements without duplicating controls.
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Implementation, Not Just Strategy
We don't hand you a governance strategy document and walk away. We build the catalog, deploy the tools, configure the policies, and train your team to operate it.
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Measurable Governance Outcomes
Every engagement includes governance KPIs β€” data quality scores, policy compliance rates, access request SLAs, and catalog coverage percentages you can report to leadership.
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FinTech Governance Specialists
We understand the unique governance challenges of financial data β€” transaction lineage, PCI scope management, cross-border transfer rules, and model governance for AI-driven decisions.
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Fast Time to Compliance
Our pre-built governance accelerators and policy templates mean you don't start from zero. Most clients pass their first post-deployment audit within 90 days.
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Embedded Stewardship Model
We don't just build tools β€” we help you establish a stewardship culture with clear roles, accountability, and incentives that keep governance alive after our engagement ends.
Get Started

Let's Build Your Governance Foundation

Tell us about your regulatory environment and data landscape β€” we'll respond with an honest governance maturity assessment.

Free governance maturity assessment
Regulatory gap analysis included
Senior governance architect assigned
Response within 24 business hours
Confidential β€” NDA available immediately
0/2000
Featured Case Study

Zero Regulatory Findings Across 3 Consecutive Audits

🏦 Banking

Governance Framework for TrustBridge Bank

How we built a comprehensive data governance framework for TrustBridge Bank that unified data cataloging, lineage tracking, PII protection, and policy enforcement β€” resulting in zero findings across three consecutive regulatory audits.

0
Audit Findings
100%
Data Catalog Coverage
78%
Less Compliance Effort
The Challenge

Governance by spreadsheet in a regulated bank

TrustBridge Bank maintained their data inventory in spreadsheets, had no automated PII discovery, and relied on tribal knowledge for data lineage. When regulators asked "where does this report number come from?", the answer took 2-3 weeks of manual investigation.

No automated data catalog β€” inventory maintained in Excel
PII scattered across 40+ systems with no discovery mechanism
Regulatory inquiries requiring weeks of manual lineage tracing
Data quality issues causing reconciliation breaks in daily reports

Our Approach: We deployed a governance stack in three phases: Phase 1 (weeks 1-4) β€” automated data catalog and PII discovery across all production databases. Phase 2 (weeks 5-8) β€” lineage tracking, quality monitors, and access policy automation. Phase 3 (weeks 9-12) β€” stewardship role training, compliance dashboards, and audit evidence generation workflows.

FAQ

Frequently Asked Questions

A foundational framework (catalog, lineage, basic policies) takes 8-12 weeks. A comprehensive implementation covering quality management, privacy controls, and policy automation typically runs 16-20 weeks. We phase deliveries so you see value within the first month.