Product Performance Analytics

Trend product performance over time.
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Case

Client

Large Enterprise Content Management Technology Provider

Problem

The company sought to enhance its large accounts payable solution by leveraging deep analytics through a cloud data warehouse. The objectives were to assess the level of human input required, evaluate the effectiveness of AI automation within the solution, and analyze its performance over time. The goal was to optimize the balance between human and automated processes, ensuring maximum efficiency and effectiveness in the accounts payable function.

Strategy & approach

To enhance the accounts payable solution, we centralized data in a cloud data warehouse and integrated it with advanced analytics platforms. We utilized AI and machine learning models to evaluate automation effectiveness and human input. Performance dashboards visualized key metrics in real-time, while process mining tools identified optimization opportunities. Statistical and predictive analytics provided insights into trends and future performance. Regular feedback systems and benchmarking tools ensured continuous improvement and alignment with industry standards. This strategy enabled a comprehensive assessment and optimization of accounts payable processes.

Tools & methods used

  • Data Lake & Cloud Data Warehouse
  • Performance Dashboards
  • Machine Learning
  • BI Tooling

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