CASE STUDY

TRANSFORMING GLOBAL MEDIA MANAGEMENT: A SEMANTIC LAYER SUCCESS STORY

Our client is a global data technology company and part of a FTSE100 Media marketing giant, helping brands unlock the power of their first-party data to drive customer growth. Their mission is to enable deeper, more meaningful customer connections through ethical and strategic data utilisation across the group and be the centre for data for all companies within the group.

Executive Summary

In navigating the complexities of managing a colossal dataset for a global media giant, our team at BI:PROCSI rose to the challenge with precision and agility. Through meticulous modelling and relentless optimisation, we crafted a highly automated semantic layer that served as the backbone of our client’s data ecosystem.

Our solution not only enhanced efficiency and scalability but also empowered our client with unparalleled insights and agility. We delivered the largest, richest and deepest dataset within the group for the North Americas. With each new dataset integrated, our automation capabilities strengthened, paving the way for sustained success in a dynamic and ever-evolving market.

The Challenge

ur client, a big global media entity, entrusted us with managing their vast trove of advertising, sales, and audience data, spanning billions of rows. This raw data, subject to frequent updates and modifications, demanded meticulous modelling into a semantic layer to serve a multitude of consumers, including a SaaS product tasked with generating insights on audience segmentation. Each update presented a myriad of challenges, from changes in unique identifiers to the introduction of new datasets, necessitating constant adaptation and optimisation of the semantic layer. Guided by the imperative of maintaining optimal performance, we engaged in rigorous benchmarking, testing, and gap analysis, striving for continual enhancement with each iteration.

The Situation

Amidst this dynamic landscape, our team navigated the intricacies of data management with agility and precision. Every new dataset integration became an opportunity for innovation, driving the evolution of our semantic layer into a finely tuned, automation-driven powerhouse. With each challenge conquered, our capabilities in automation and performance optimisation grew stronger, reinforcing our ability to swiftly adapt to new client data and sources. This robust semantic layer served as the backbone of various domains, including data science, empowering our client with unparalleled insights, including at a geo level, and agility in an ever-evolving market.

The Solution

The culmination of our efforts was a highly optimised, performance-tuned, and automated semantic layer that served as the cornerstone of our client’s data infrastructure. This robust foundation empowered various domains within the organisation, enabling seamless integration of new datasets and sources with minimal disruption. With each new dataset ingested, our automation capabilities strengthened, further enhancing the agility and scalability of the product. Our client benefited from enhanced insights, operational efficiency, and adaptability, positioning them for sustained success in an increasingly competitive market landscape.

The Result

The culmination of our efforts was a highly optimised, performance-tuned, and automated semantic layer that served as the cornerstone of our client’s data infrastructure. This robust foundation empowered various domains within the organisation, enabling seamless integration of new datasets and sources with minimal disruption. With each new dataset ingested, our automation capabilities strengthened, further enhancing the agility and scalability of the product. Our client benefited from enhanced insights, operational efficiency, and adaptability, positioning them for sustained success in an increasingly competitive market landscape.

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