DATA ENGINEERING

Data Cataloging & Enterprise Data Governance

Make data discoverable, trusted, and compliant — with a governed data catalog, clear ownership, and automated quality controls that scale across your enterprise.

70%
Faster data discovery for analysts
99%
Regulatory audit pass rate
50%
Reduction in data quality incidents

THE BUSINESS CHALLENGE

The Data Challenges Holding Organizations Back

These are the friction points our clients face before engaging Athenasoft — challenges that drain productivity and delay insight delivery.

01

Nobody Knows What Data Exists

Data assets spread across dozens of systems without a central catalog. Analysts spend more time finding data than analyzing it.

02

Compliance & Regulatory Risk

GDPR, HIPAA, SOX, and sector-specific regulations demand clear data lineage, retention policies, and access controls that manual processes cannot reliably deliver.

03

No Data Ownership or Accountability

Without assigned data owners and stewards, data quality degrades silently. Nobody is responsible when key metrics are wrong.

WHAT WE DELIVER

Our Data Engineering Capabilities

From raw ingestion through to governed, self-service analytics — we own the full data value chain.

Microsoft Purview Implementation

Deploy and configure Microsoft Purview as your enterprise data catalog — automated scanning, classification, lineage, and access policy enforcement.

Data Lineage Mapping

Document the end-to-end journey of critical data assets from source systems through transformations to consuming reports and APIs.

Data Quality Framework

Define quality dimensions, implement automated validation rules, build data quality scorecards, and establish SLAs for critical data products.

Master Data Management

Design and implement MDM solutions for customer, product, and supplier master data — eliminating duplicates and creating a golden record.

Access Control & Data Security

Implement attribute-based access control, data classification labels, dynamic data masking, and row-level security across your data estate.

Data Governance Operating Model

Establish the governance council, data steward network, policies, and processes that keep your governance program active and self-sustaining.

OUR APPROACH

Your Data Journey, Step by Step

A phased engagement model built around your data maturity — pragmatic milestones that deliver value at every stage.

01

Governance Assessment

Assess current data governance maturity: catalog coverage, quality practices, ownership model, and compliance gaps.

02

Design Governance Framework

Define policies, assign data ownership, select tools, and design the governance operating model.

03

Implement Catalog & Controls

Deploy Microsoft Purview, scan data sources, build lineage maps, implement quality rules, and configure access policies.

04

Activate & Sustain

Train data stewards, onboard business users to the catalog, establish governance metrics, and run quarterly review cadences.

TECHNOLOGY ENABLERS

Tools & Platforms We Work With

We maintain certified expertise across leading platforms so you always benefit from current best practice.

Microsoft PurviewAzure Data FactorydbtGreat ExpectationsApache AtlasCollibraSQL ServerAzure SQLPower BIAzure Policy

FREQUENTLY ASKED QUESTIONS

Common Questions About Data Cataloging & Governance

Answers to the questions we hear most from enterprise buyers, architects, and decision-makers.

A data catalog is a searchable inventory of your organization's data assets — databases, tables, files, reports, and APIs — enriched with metadata: what the data is, where it came from, who owns it, and how it has been used. It makes data discoverable and trustworthy.
Data management covers the technical practices of storing, processing, and integrating data. Data governance is the framework of people, processes, and policies that define who can do what with data, and ensure it meets quality and compliance standards.
Purview is the natural choice for Microsoft-heavy environments (Azure, Office 365, Dynamics, Power BI) due to its native integrations and unified data map. For multi-cloud estates with Snowflake, Databricks, or AWS, we often complement Purview with additional connectors or evaluate alternatives like Alation or Collibra.
We map personal data flows across all systems, implement data subject rights processes (access, erasure, portability), configure retention policies and automated deletion, and build the audit logs required to demonstrate compliance to regulators.
Quick wins — a deployed catalog covering your top 20 data assets and basic quality dashboards — are achievable in 60–90 days. A mature, organization-wide governance operating model takes 12–18 months to fully activate.

EXPLORE FURTHER

Related Athenasoft Services

See how our capabilities connect across AI, Data, Cloud, and Business Applications.

LET'S BUILD SOMETHING

Ready to Get Started
with Data Cataloging & Governance?

Speak with a senior architect about your goals. No sales pressure — just a genuine conversation about what’s possible.