Our Services

Data, Analytics & Governance

Turning data into boardroom decisions. From dashboards to compliance, from AI pipelines to governance frameworks, data ecosystems CEOs and CFOs can trust.

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Our Point of View

Every business has data. Few have clarity. Your dashboards show numbers. Your reports show trends. But no one can confidently answer: “What’s actually driving growth?”

Chanakya’s Data, Analytics & Governance service builds the infrastructure, dashboards, and compliance frameworks that turn raw data into decisions — and decisions into revenue.


The Data Problem

Most companies don’t have a data shortage — they have a data architecture problem. Data exists in silos. Definitions vary between teams. Compliance is an afterthought. And AI initiatives stall because the foundation isn’t there.

Without Governance

  • Data scattered across 10+ tools
  • No single source of truth
  • Compliance risks unknown
  • AI projects fail to launch

With Governance

  • Centralised data warehouse
  • Consistent definitions across teams
  • Compliance by design
  • AI-ready data infrastructure

What We Build

Data Warehouses

Snowflake, BigQuery, Redshift — centralised repositories that consolidate data from all your tools into one queryable source.

Business Intelligence

Looker Studio, Power BI, Tableau — dashboards that answer business questions, not just display charts.

Data Governance

Policies, access controls, data quality rules, and documentation that keep your data clean, secure, and compliant.

AI Pipelines

ETL/ELT workflows, feature stores, and model pipelines that turn raw data into AI-ready inputs.

Compliance & Privacy

GDPR, DPDP, SOC 2 — data classification, consent management, and audit trails built into your architecture.

Data Culture

Training, documentation, and metric definitions that help your team actually use the data you’ve built.

The Governance Framework

Good governance isn’t about restricting access — it’s about ensuring data is trustworthy, accessible, and secure. Our framework covers:

Data Quality

Validation rules, deduplication, and monitoring to ensure data is accurate and complete.

Data Lineage

Track where data comes from, how it transforms, and where it’s used — for debugging and compliance.

Access Control

Role-based permissions, SSO integration, and audit logs for every data access event.

Compliance

GDPR, DPDP, CCPA — consent management, data retention policies, and right-to-erasure workflows.

Documentation

Data dictionaries, metric definitions, and runbooks that make your data self-service.

Monitoring

Real-time alerts for data freshness, quality issues, and pipeline failures.

Our Process

01

Audit

We assess your current data landscape — tools, flows, quality, and compliance gaps.

02

Architecture

We design the data warehouse, governance layer, and dashboard architecture aligned to your business goals.

03

Build

We implement the warehouse, ETL pipelines, dashboards, and governance controls.

04

Enable

We train your team, document everything, and set up ongoing monitoring and support.

“Without data, you’re just another person with an opinion.” — W. Edwards Deming

Results We’ve Delivered

100%

Data accuracy across marketing, sales, and finance after warehouse implementation

-70%

Reduction in time spent building manual reports

30 days

To full GDPR compliance with automated consent management


Engagement Models

How we can work together

Project-Based

Defined scope, fixed timeline. Best for audits, migrations, or launches.

Retainer

Ongoing strategic counsel. Best for teams that need a senior growth partner.

Embedded

We join your team, full-time. Best for buildouts that need internal ownership.

FAQ

Common questions about this service.

How long does an engagement typically take?
Depends on scope. Most targeted engagements run 4–12 weeks. Larger transformation projects may span 3–6 months.
Do you work with our existing team?
Yes — we embed alongside your team and transfer knowledge throughout, not just at the end.
What does success look like?
We agree on measurable KPIs at scoping. Success is defined before work starts, not after.