Mass media company data pipelines
The client is a mass media company with a forward-thinking technical strategy. Despite a robust commitment to technology, they were losing competitive advantage by not taking control of the data these systems produced. Ollion helped them identify useful data assets and built a cutting-edge analytics platform that solved these problems.
Overview
THE CHALLENGE
Despite a robust commitment to technology, this mass media company was losing competitive advantage by not taking control of the data their systems produced.
THE SOLUTION
Ollion optimized data pipelines for this mass media company to improve access to data that would help them find better insights.
THE OUTCOME
Empowered by a new data infrastructure, the client now enjoys faster, more accurate reporting, deeper client engagement, and is poised to take advantage of new analytics applications.
The challenge
The client’s employees were relying on multiple tools for storing, cleaning and processing data to generate business reports. Without a centralized location to house the business logic of these systems, they couldn’t process data in a timely way. This was not only impacting the quality of their business decisions but also degrading the quality of reporting information available to clients.
The solution
The Ollion team leveraged several tools, including Microsoft Azure Data Factory and Snowflake, to properly ingest the client’s data into a newly built data warehouse. This cloud data warehouse featured a repeatable pipeline, which could pull data from each important source and ingest it into the system in a fraction of the time of their previous solution.
The outcome
Ollion’s standard and reusable data pipeline processes created a single data source for both their internal efforts and client-facing analytics. The system provided an immediate boost to business efficiency, facilitating greater teamwork and employee engagement while improving on vital reporting processes.
In addition, Ollion cleaned, normalized and ingested data from all the client’s third-party vendors. This ensured that their new data modeling capability supported any new data sources they wished to ingest or analyze in the future, laying the foundation for more efficiency gains in the future.
Iterative data enhancement
Our efforts also helped the client establish an iterative approach to increasing the business value of their data, positioning them for near real-time analytics and the ability to embrace new data science use cases with confidence and ease.
