Data Governance at Scale for India’s Leading Media Platform

About The Organization

The subject of this transformation is a premier Indian content distribution and media platform serving millions of viewers nationwide. As a leader in the digital media space, the organization manages vast streams of viewer data, content metadata, and advertising metrics. To maintain its market lead, the platform relies on precise data to drive audience targeting, personalized content recommendations, and complex regulatory reporting.

Industry

Leading Indian Content & Media Platform

Key Technology

Informatica IDMC (CDGC, CDMP, CDAM, MCC, CDI, CDQ)

Core Focus

Data Lineage, Quality, and Automated Ownership 

Primary Result

100% Lineage visibility and 75% reduction in access latency.

Challenges they were trying to solve while reaching out to us

With millions of viewers generating data across multiple touchpoints, the platform’s data ecosystem became increasingly difficult to manage.

media streamer data management

Inconsistent Quality

Data scattered across multiple sources led to conflicting reports and a lack of “one version of the truth

Lineage Blind Spots

Poor visibility into data lineage meant teams could not easily trace data from the source to the final report. 

Undefined Ownership

Without clear data owners, access requests were delayed, and accountability for data accuracy was missing.

Scalability & Security

As data volumes surged, manual metadata management and data security became unsustainable, posing significant regulatory risks.

The Solution: Comprehensive Governance via Informatica IDMC

The organization implemented a full-stack automated governance strategy using the Informatica Intelligent Data Management Cloud (IDMC). 

Automated Governance (CDGC & MCC)

Leveraged Cloud Data Governance and Catalog (CDGC) and Metadata Command Center (MCC) to automate data cataloging and lineage mapping. 

Data Marketplace (CDMP)

Established a Cloud Data Marketplace to provide a “shop-for-data” experience with clear ownership models. 

Access & Security (CDAM)

Implemented Cloud Data Access Management to automate approval workflows and strengthen data security. 

Quality & Integration (CDI & CDQ)

Used Cloud Data Integration and Cloud Data Quality to enforce standardized rules for accuracy and completeness across the ingestion pipeline. 

The Impact: Trusted Insights & Operational Agility

The move to a unified IDMC framework transformed the platform’s data from a liability into a strategic asset

100% Lineage Visibility

Achieved complete transparency by linking data from the initial source directly to final business reports. 

95%+ Superior Data Quality

Increased data accuracy metrics to 95%+, ensuring reliable reporting for content and advertising teams.

75% Faster Data Access

Defined ownership and automated workflows reduced data access delays by three-quarters. 

Optimized Recommendations

 Trusted data enabled more precise audience targeting and higher-performing content recommendation engines. 

Strengthened Compliance

Established a robust security posture that ensures full readiness for media and data privacy regulations.

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