ABBYY Timeline is a Process Intelligence platform that allows businesses to use the information contained within their systems to create a visual model of their processes, analyze them in real time to identify bottlenecks, and predict future outcomes to facilitate decision-making of technology investments.
Join this ABBYY Expert Talk on July 23rd to hear Forrester’s Jacob Morgan speak about their latest findings on digital banking amidst the pandemic, as well as real-life use cases of how banks are managing transactions with a remote workforce, and learn how Digital Intelligence can tackle current challenges.
The vast majority of process execution today is tracked, managed, and performed through any number of IT systems of record. That means you already have a record of just about every aspect of any of your processes. You just need the right tool to recreate an end-to-end view of process execution. Traditional business intelligence tools, dashboards, and reports can’t create this for you. ABBYY Timeline can.
When properly ingested, merged, and analyzed, this wealth of data can be used to discover patterns and insights that illuminate paths to better customer experiences and new operational efficiencies. By applying advanced artificial intelligence and machine learning, you can predict and forecast processes into the future, while optimizing business operations through real-time monitoring.
You already have all the data you need – isn’t it time to put it to work?
Rapidly reveal how every occurrence of every process is executed, including even the most ad-hoc, variable workflows.
Easily identify, quantify, and target the highest-impact process instances for digital transformation or automation initiatives.
Automatically generate a foundation for data-driven decisions with quantifiable process metrics, including cost, duration, and volume.
Simply and quickly pinpoint the root cause of non-compliant, unusual, or high-cost processes.
Easily define complex scenarios and automatically detect them as they occur, triggering remediation efforts.
Use early stage data to predict process outcomes and proactively plan or act.
Explore the four steps to process transformation.
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With best regards,
The ABBYY Team