FIS CREDIT DATA PACK
Unlock the full potential of your credit card data with leveraged insights that work hand in hand with Ethos Analytics.
A way to gain unprecedented access to your institution’s credit card data
Managing your credit card portfolio can be challenging, especially if you lack the resources to unify and convert data sets into actionable insights and strategies. FIS® Credit Data Pack is a unified data set that works with Ethos™ Analytics to give you access to your credit card data all the way to account-level detail so you can improve revenue, mitigate risks and take action to slow churn, all while maintaining compliance.
Discover new growth opportunities with Credit Data Pack by leveraging pre-built dashboards and data models designed by card-issuing experts to easily peruse key performance indicators (KPIs), trends and other high-value credit card analytics.
Gain deeper insight
Develop a better understanding of card activity with executive reports that provide instant insight into three-year trends and analysis.
Use your data wisely
Leverage an exclusive summary dashboard that features six of the most critical credit processing KPIs derived from client feedback.
Mitigate and reduce losses
Generate cost-saving operational adjustments with powerful models designed to support regulatory reporting and maintain compliance.
Get the full benefit
Work one-on-one with FIS experts for personalized workshops and training customized to your team and your data packs.
Insights
Set your team up for success
Maximize the benefit of your investment right away with in-depth training and customized workshops using your team and your Ethos data packs.
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Loyalty Data Pack
Ethos™ Analytics with the Loyalty Data Pack empowers your institution with easy-to-use KPI dashboards derived from the most critical metrics needed for a successful loyalty program.
Fraud Data Pack
Securely manage and reduce fraud cost to better serve your customers. Monitor performance of credit and debit fraud with a lens into activity and trends derived from key fraud metrics.
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