Our client provides data, insights, and consulting services to enterprises in more than 90 countries, helping the world’s biggest brands decode human behavior to drive business growth. Combining deep expertise in brand strategy, media measurement, and consumer intelligence with advanced analytics and technology, the client enables organizations to make bold, confident bets about the future.
The data black box
Over the past decade, the client’s marketing efforts expanded across channels, including TV, YouTube, Facebook, and Instagram, making measuring campaign performance increasingly difficult. Data was spread across APIs, cloud storage, SFTP servers, and OneDrive, making consolidation slow, cumbersome, and prone to delays.
Adding to the complexity, the company needed to securely share sensitive personal data with partners, such as Google and Meta, while remaining fully compliant with privacy regulations.
Meanwhile, data scientists and engineers struggled to collaborate efficiently, limiting their ability to run advanced data science models on historical data for deeper insights. These gaps could potentially impact the client’s ability to service its customers, running the risk of losing its market relevance.
The data transformation, powered by Azure & Databricks
Determined to overcome these challenges, the client partnered with Persistent to reimagine its data operations. Together, we designed a scalable, highly available analytics platform built on Microsoft Azure, seamlessly integrating data from all sources into a unified platform. Automated data pipelines powered by Azure Data Factory replaced manual processes, dramatically improving the speed and reliability of data available for analysis. Sensitive data transfers were secured with advanced double-masked encryption, ensuring privacy without sacrificing accessibility.
Persistent deployed Azure Databricks to unlock richer insights, enabling data scientists to run complex PySpark algorithms efficiently. Delta Lake storage improved data consistency and query performance, while Unity Catalog provided centralized governance and precise access control.
Through dynamic Power BI dashboards, business users gained real-time visibility into campaign performance, transforming decision-making. Azure Blob Storage lifecycle policies ensured data retention remained compliant, and end-to-end encryption safeguarded data at rest and in transit.
Analysis to actionable insights
With a streamlined data estate, the client halved the daily pipeline execution times, leading to faster analysis and better coordination between data scientists and analysts. Go-to-market timelines for new data models and analytical tools were shortened by 40%, and data quality improved by 30% with automated validations and early issue detection. This helped the client glean critical insights for its customers, bolstering its business moat.
The platform scaled effortlessly, handling eight times more data without missing service-level agreements, positioning the company to deliver faster, smarter insights to its clients.
Ultimately, the client is now empowered to act decisively in an increasingly fast-paced, data-driven world, turning fragmented, delayed reporting into real-time, actionable intelligence.
