Cases

One of our clients, a major media company, was facing increased pressure to step up their viewer engagement reporting. Check out how we worked closely with them to build an automated data-driven solution using S3 cloud storage, Snowflake shared data architecture, and dbt SQL-first transformation workflows.

The current shift to cloud computing enables new and different ways of working with data, especially as data source landscapes are broadening. One of our clients, a provider of subscription-based services, asked us to set up a multi-purpose scalable data platform that interacts with a wide variety of data sources in their fast-evolving business environment. The result is a centralized data hub that powers new use cases for generating business impact and value.

Our client, a public company providing a broad range of media services, want to improve the user experience of their online platform. In order to do so, they request Datashift to implement a recommendation engine on their website using all available historical data and content metadata to predict which content will be of interest to an individual user.

In order to help pharmaceutical companies understand how new digital content is being used by their target audience, our client needs an easy way to map out how healthcare professionals engage with this content and how this impacts their way of work. At the same time, this information should deliver the insights that help our client to maximize the quality of their digital products and services.

An international retailer asked us to take over their current BI system because the internal stakeholders had lost confidence in that system. Not only proved their BI system to be far too complex to use, it also contained a lot of erroneous data. As our client rightfully expected their BI system to provide them with dependable business essentials, a change was clearly needed.