Big data success stories 2023

Gaining data visibility across your big data can provide invaluable benefits from understanding your business, processes and customers better to making well-informed data-driven decisions. We have compiled a list of the top big data success stories 2023 that will inspire you to invest in your data to gain powerful insights across your business to drive growth and revenue.

Powerful insights driving growth for global brands

To gain a deeper understanding with a complete picture of their data, our client wanted to collect and collate data from multiple sources for analysis and reporting. The data sat across disparate sources and varied in format, volume and velocity, adding to the complexity of the project. The Ardent data engineering team experienced in dealing with large data sets, built robust, scalable data pipelines employing world-leading AWS technologies. The project ensures a high level of data accessibility and accuracy providing the client with reports on an hourly basis.

Read the full story on building robust, scalable data pipelines with AWS infrastructure

Protecting content for the biggest names in entertainment

With the mission to provide their end clients with information security, our market research client required a platform that would scour the internet to find any leaked content or information based on specific topics. The Ardent team, proficient in world-leading technologies leveraged AWS Batch, AWS Athena, Elastic Search and Python to deliver a solution which would automate the entire information security process. This significantly helped the client reduce manual processes resulting in saved time, resources and consequently costs.

Read the full story on delivering an intelligent platform to automate information security

Driving commercial gain and research

Growing data sets led to the client's existing system performing poorly as it was regularly timing out and delivering search queries at an unacceptable speed. They required a flexible too to significantly speed up their data search queries on their large volumes of complex data. The Ardent team took on the client challenges to deliver a data search engine which would deliver search results quickly and efficiently, a user-friendly interface, and apply the Boolean logic to offer flexibility with the search. This saved the client time, improving their efficiency across the entire process and enabling an ROI.

Read the full story on optimising big data queries for large volumes of complex data

Empowering businesses to thrive with powerful insights

As a market research company, our client gathers research across various channels including social media and surveys. The data varied in its format, source, volume and speed at which its generated, and was to be stored in a data lake for data science purposes. Ardent’s highly skilled data engineers built a 10 TB data lake to collect and effectively store 1.3 million user survey data and over a billion social media records.

Read the full story on collating survey and near-real-time social media data in a TB data lake

Revolutionising the future of Television

With data availability, high uptime and avoiding data loss being absolutely crucial to the client, they required ongoing monitoring of their data. With over 4 PB of data, the client needs a company with experience and expertise to handle their data safely and securely. The Ardent operational monitoring and support team set up a robust infrastructure to manage the data, ensuring a structured and organised process for error reporting, communication and overall reporting. The team have made many recommendations over the years of managing the client's data to further optimise and improve performance and reduce overall costs.

Read the full story on managing and optimising 4 petabytes of client data

Fortune 500 company entertaining audiences for over two decades

Our clients relied on real-time data availability and accessibility to provide data insights to their end clients. However, this existing infrastructure built on Amazon Redshift had some limitations for this specific data, which meant that the reports were delayed. The Ardent engineers came on board to store and process the data to Databricks to cut data reporting turnaround by 80%. 

Read the full story on improving data turnaround by 80% with Databricks

Ardent data engineering services

Ardent has worked with clients hailing from a range of industries including market research to media. The highly experienced data engineering team are proficient in world-leading technologies including the like of AWS, Microsoft Azure, Databricks and more. We invest in our people so they can continue to serve our clients with world-class data solutions that are secure, scalable and future-proof. If you are looking for a data engineering company that has a proven track record of success, is credible and reliable, we can help. Get in touch to unlock the potential of your data or to find out more about our big data success stories.

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