Challenge
A Fortune 500 card services provider needed a way to optimize how it retrieves and analyzes data for each of its 135 private-label credit card merchants in order to provide customized loyalty marketing services. After working with Fusion Alliance, the client gained a roadmap that outlined areas for improvement and strategies that would enable the company to cater to the needs of merchants and reach additional clients. The end result was a strategic data management and analytics strategy that would build out a better future.
Background
The ability to analyze quality data in a timely manner allows loyalty marketing companies to create strategic campaigns targeting new and existing cardholders. As new technology continues to drive the market across industries, it is imperative that loyalty marketing companies implement data-driven solutions to manage the increasing volume of customized client demands.
This company’s existing data management and analytics platform supported marketing and financial analytics, but they recognized a need to optimize these systems to align with their expanding business vision and strategy. The organization turned to us for help in developing a strategic data management and analytics strategy and a roadmap to guide the optimization journey.
Solution
At the time Fusion got involved, the client’s brand partners included 135 different merchants with private-label credit cards. For each merchant, the company provided reports and analytics based on a unique set of requirements. They saw that they needed a strategy to better manage the volume of reports with their current resources and still maintain the level of customization clients were accustomed to, especially as the brand-partner portfolio continued to grow.
In order to implement the best solution possible, we completed a comprehensive evaluation to determine current business needs, requirements, and market opportunities. We assessed the technical landscape and reviewed the client’s current strategic plan. Then we worked together to create a data management and analytics strategy and a multi-year roadmap.
