Our client is a technology company providing a powerful suite of data and tools to support marketers to make data-driven decisions and to understand the true impact of their marketing and advertising campaigns. Sphere fulfilled a unique analytics requirement that our client wanted assistance with, using their own global behaviour data.
An understanding of data maturity can guide a company's transformation from being clueless about data to taking advantage of its full potential. In this post we compare different approaches to data maturity.
Find out how Sphere Partners improve customer satisfaction levels for an American mobile network operator by using data store indicators.
The Company contacted our data consultant to provide a Data Integration and Analytics assessment for the CFO and CIO. The first step was to collaborate with executives to create a roadmap and identify what data was needed to achieve their analytics requirements. This included evaluating existing technical architecture, data integrations and data stores. Next we identified the necessary data to provide a clear view between marketing and finance by tying it to CRM customer data to provide the right insights for critical decision making.
The company approved a digital transformation strategy to grow their data practice and wanted to prove artificial intelligence ROI.
