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How Data Guides A New Era For The ERP

PYMNTS

“Native ERP reporting typically isn’t optimized to handle the structure of financial data, or many of the complex requirements like granular data, drill-downs, automated reconciliation and comparative reporting,” he said. Disruption Ahead.

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Mid-Year Update on Key Trends to Watch

Bramasol

For example, RPA processes handling repetitive and rule-based tasks, such as data entry, document processing, and invoice reconciliation can be guided by new, higher level AI insights and learning capabilities. Customer Experience and Personalization: AI enables businesses to deliver personalized experiences to their B2B customers.

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How Back-Office FinTech Boosts Spas’ Recurring Revenue Opportunity

PYMNTS

However, a better customer experience — and a higher chance of a recurring client — involves more than analyzing such trends. After all, it’s one thing to analyze data to understand which products and services generate the most revenue. Inventory management is another component of supporting the customer experience.

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Four Techniques Companies Use To Advance In Today’s New Economic Environment

The Finance Weekly

Organizations may , eliminate many of the manual processes that stymie a company's ability to accomplish a speedy financial closure by employing AI and machine learning to automate financial close processes including account reconciliation and reporting. Use intelligent process automation to your advantage.