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Badge Group M

Task-Based Data Workflow Automation & Dashboarding Across Cloud Ecosystem

Project Duration

Ongoing since 2023


Client Industry

Marketing and Advertising

Target Markets

United states

Technology Stack

Client Overview

We Understand Our Clients Best to Provide them the Best Solutions

GroupM is a leading global media investment company that helps brands maximize the value of their marketing through data-driven strategies, media planning, and performance optimization. As part of WPP, GroupM partners with top-tier advertisers to deliver innovative media solutions across digital, TV, and emerging platforms, empowering businesses to reach their audiences effectively and efficiently.

Solutions Delivered

Scalable, reliable, repeatable data workflows

Event-driven pipelines with Pub/Sub

KPI visualization for faster decisions

Tasks, sprints, documentation streamlined

Team Composition

Data Engineers

BI Developers

Cloud Automation Experts

Agile Project Coordinators

Engagement Type

Contractual / Ticket-Based

Task Assignment via JIRA

Key Challenges

Key Challenges

Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding

Disconnected

Complex ETL Development

Built robust pipelines using BigQuery, Airflow, Dataform workflows

Inefficient Reporting

Automation Stability

Ensured seamless workflows via Pub/Sub, Cloud Functions

Limited Intelligence

Tool Familiarity

Learned Looker, Cloud Repos setup, dashboard creation

Strategic Roadmap

The project was executed as a series of discrete JIRA tickets, with deliverables split across ETL builds, automation tasks, and BI dashboarding. BigQuery served as the warehouse foundation, while Airflow and Dataform orchestrated and managed transformations. Cloud Functions and Pub/Sub supported scalable ingestion and real-time automation. JIRA workflows structured sprint deliverables, and Confluence housed documentation for repeatability and collaboration.

JIRA workflows structured sprint deliverables, and Confluence housed documentation for repeatability and collaboration.

Strategic questions addressed:

● How do we automate manual reports while ensuring data quality and timeliness?

● What workflow design ensures reusability and reliability in task-based execution?

● How can we enable real-time analytics through event-driven data ingestion?

● What collaborative setup supports repeatable success across sprint cycles?

Execution Approach

Automated, Modular ETL and Dashboarding with Scalable Cloud Tooling

We implemented modular ETL pipelines using Airflow and Dataform to support incremental, test-covered processing.

Real-time pipeline triggering and event handling were achieved using Cloud Functions and Pub/Sub, enabling seamless automation. To deliver actionable insights, we developed interactive Looker dashboards tailored by region, team, and KPI.

Project transparency and alignment improved through structured task tracking in JIRA and standardized documentation in Confluence. Together, these efforts enabled a reliable, scalable data infrastructure supporting both operational efficiency and fast decision-making across stakeholder groups

Execution Diagram
Business Impact

BUSINESS IMPACT

Operational Efficiency Boost

Better Decision-Making

Project Velocity & Knowledge Sharing

Improved Data Reliability

Business Impact Illustration

30%

reduction in manual reporting time

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50%

faster reporting via streamlined pipelines

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20%

savings in data operations cost

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2x

faster decisions using real-time dashboards

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