Marketing to prospects (direct mail, telemarketing, and email) is expensive. Targeting incorrectly can hurt your brand, leaving prospects feeling spammed. Traditional techniques are not very sophisticated, resulting in low response rates which in turn leads to high cost-per-lead/acquisition numbers.

This global information technology services company needed to expand capacities for its global data centers to handle the growing volume of data from its e-commerce platform. They also needed a semantic search engine to improve the relevance of search results.

As the world at large has become more data driven, marketing technology companies like Numberly increasingly rely on their ability to deliver the best insights from diverse, voluminous datasets to gain a competitive advantage. Generating the greatest return on marketing and advertising spend hinges on their ability to deliver precisely targeted, relevant and timely messages.

As Cox Automotive was formed, executives sought to implement an enterprise data strategy that would enable the company to deliver new customer experiences using rich automotive data from across its brands.When the 20 brands came together, it was not possible to bring all the data together in traditional environments such as Netezza or SQL Server.

ANZ Bank wanted to identify instances of non-compliance and build customer trust by refunding customers for regulatory lapses in the past two decades. However, going through every single transaction and balance of the past twenty years was a time-consuming and resource-intensive task.

To stay competitive in the data-driven financial services environment, Axis Bank needed to expedite its transformation to data-driven operations and address changing customer needs.