Powerful insights driving growth for global brands

Key Challenges

Our client were looking to collate large amount data from various sources with high data accessibility and accuracy to provide a speedy turnaround time for their end customer.

Key Details

Well-established market research company

Our client are a well-established market research company offering a number of services including market research insights on tv audience data. The company has been providing data to end customers to help them make well-informed decisions on marketing, business strategy and approaching their target audience. With almost 35 years of experience, they look to expand and grow their services and we are proud to help them on their journey to achieve that.

Collecting, processing and enriching a variety of data

We have worked with our client on a number of data projects, so when they needed robust, scalable pipelines built to deal with large volumes of data, Ardent was the data engineering provider of choice. Our client wanted to ingest data from several sources, collate it and enrich it for their data science teams to generate deeper insights that inform smarter decisions for their end customers.

Robust, scalable pipelines

Our engineers with their rich experience and expertise in delivering data engineering excellence for over a decade built robust, scalable data pipelines to deal with the large volumes of data being ingested. We built the data pipeline infrastructure to collate data from three main sources including; TV data from a leading provider of automatic content recognition (ACR) technologies and cross-screen metrics, mobile data from a global leader in mobile location data, POI data and corresponding compliance services as well as pixel data. Each source of data provides the data in various formats, which was cleansed, processed, validated and enriched by joining tables based on set queries with intelligent algorithms. This provides the client with a fuller picture of their data. 

One of the key technical challenges that our team overcame was dealing with large volumes of mobile data which varied between 100 GB to 300 GB per day. This data needed to be processed swiftly, therefore our teams were able to recommend and employ EMR (Elastic MapReduce) to significantly reduce the processing time so our client could access the data quickly.

High data accessibility and data accuracy  

Our client can access hourly reports based on their data, which is processed quickly and efficiently. This allows their data science teams to provide quick turnaround to their end client on data reports and insights, empowering them to provide excellent service to their clients. We continue to work with our client on managing their data pipelines with our operational monitoring and support service. Read the full success story on how we enable them to avoid data delays and data gaps.

If you are looking to create data pipelines or have existing data pipelines which require maintenance, need updating or better infrastructure, or are looking to build data secure, scalable and robust data pipelines then get in touch to find out how we can help.

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