Released
The New Skills in Finance Report 2022
In a digital-transforming era, there is a widening skills gap for those who cannot adapt to the new digital world in finance.
CFTE and Elevandi published the report with the discussion with leading experts to help governments, organisations and individuals address the current skills gap in finance and build a digital-resilient workforce in the industry.
Key Insights
Key takeaways from "Automate to elevate: Unlocking the value potential of AI-powered process mining" report published by IBM
CFTE summarised “Automate to elevate: Unlocking the value potentialof AI-powered process mining report” by IBM. The report explores how AI-powered process mining can unlock hidden value in businesses by integrating big data into processes and workflows.
Key Aspects
- The report discusses the transformation that businesses can undergo through data-driven insights, intelligent workflows, and intelligent automation.
- It emphasises the role of process mining in business transformation, highlighting its profound implications for improving specific business processes, developing efficient workflows, and achieving intelligent automation.
Table of Contents
- Introduction to AI-Powered Process Mining
- Unlocking Hidden Value Through Data Integration
- The Role of Process Mining in Competitive Advantage
- Methodology and Research Insights
- About IBM and APQC (American Productivity & Quality Center)
Key Findings and Insights
This report will give you an insight into:
- Data-Driven Process Improvement:
- The report highlights a continuum of digital process improvement that begins with using data-driven insights to enhance specific business processes. As organizations progress, this scope expands to developing intelligent workflows that integrate processes more efficiently and culminates in intelligent automation. This involves AI, robotics, virtual agents, and digital twins, which accelerate business improvement through self-learning, self-correction, and self-action.
- Impact of Process Mining on Business Transformation
- Process mining is emphasized as a key driver for business transformation. It allows organizations to extract granular, timely, and valuable insights from data, integrating big data into processes and workflows. This approach enables businesses to understand their operations more deeply and embark on effective process improvement.
- Informed Automation Decisions
- The report cites an example where process mining enabled a large manufacturer to discover process deviations in its workflow, which extended procurement cycles and increased costs. Informed by these insights, the manufacturer automated 75% of delivery activities, leading to significant reductions in order reworking and delivery costs. This illustrates how process mining insights can inform intelligent workflows, leading to substantial improvements in efficiency and cost reduction.
Key infographics
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