ABBYY Timeline
It’s one thing to understand what has happened in your processes in the past and even better to understand what is happening at the present moment. But even more powerful is the ability to understand the future of your processes—the direction that things are moving and the anticipated outcomes. Timeline provides you with advanced warning about issues before they occur, so you can change the outcome.
Timeline’s predictive capabilities enable you to address any potential issues early, before they impact process outcomes, so you can ensure faster resolution, reduced costs, and improved customer satisfaction.
Stop guessing and know what will happen next with insight into your processes. Make your processes more efficient with machine learning technology to save time, money, and labor.
Utilize Timeline’s prescriptive analytics to learn where you can fix process flows when they deviate. You can not only diagnose the problems in real-time but also make changes to ensure positive outcomes.
Traditional process mining is focused on looking at historical data. Process prediction uses historical execution patterns to train an artificial intelligence (AI) engine to predict the likely outcome of a process very early on.
Process prediction offers you the fact-based data that is needed to mitigate or better prepare for what is ahead.
$6M in Annual Late Payment Costs
Claims Management Cycle
Administrative Costs
“With the inbuilt tool features, data loading and visualization only took minutes. ABBYY’s Process AI tools gave us clarity and control we’d never had before.”
Reetha Menon, Vice President of Business Transformation, Sagility
Predict potential deviations and address them before they arise.
Predict which events will happen together and ensure that they always happen that way.
Continuously monitor and analyze your data to prescribe solutions.
Uncover risk, fraud, and control issues as they occur, and alert staff to prevent issues.
Reduce time and costs and ensure compliance in real time within your processes.
Assess effectiveness of process optimization decisions before making them.
The most comprehensive solution for process mining, task mining, process analysis, prediction, simulation, and more.
Learn how to create a dashboard in ABBYY Timeline to predict future process outcomes.
Get a quick overview of Timeline’s options and functions and where to find them.
ABBYY Timeline SAP Connector provides an SAP-certified module that removes the time-consuming steps of data extraction, event log creation, and visualization from SAP applications with just a few clicks.
The ABBYY Timeline Connector for Alteryx brings the power of process intelligence to your Alteryx analytic processes—seamlessly integrating ABBYY Timeline’s process mining and discovery, process analytics and visualization, real-time process monitoring, and predictive process analytics capabilities.
ABBYY Timeline for FlexiCapture is an intuitive, value-added solution that enables you to build a “digital twin” of your FlexiCapture processes, analyze them in real time to identify bottlenecks, and predict future outcomes.
Download this process intelligence Q&A with NelsonHall and ABBYY to learn whether you should start with process mining or task mining, how process understanding drives data-driven decision-making to avoid automating a poor process, and more.
ABBYY Timeline is a cloud-based process intelligence platform featuring advanced process discovery, analysis, monitoring, simulation, and task mining.
Get a 360-degree view of operations by connecting user interactions with business processes to make data-driven decisions for end-to-end-process optimization.
Download this process intelligence Q&A with NelsonHall and ABBYY to learn whether you should start with process mining or task mining, how process understanding drives data-driven decision-making to avoid automating a poor process, and more.
ABBYY Timeline is a cloud-based process intelligence platform featuring advanced process discovery, analysis, monitoring, simulation, and task mining.
Get a 360-degree view of operations by connecting user interactions with business processes to make data-driven decisions for end-to-end-process optimization.
It’s one thing to understand what has happened in your processes in the past and even better to understand what is happening at the present moment. But even more powerful is the ability to understand the future of your processes—the direction that things are moving, and what is going to happen in the process before it actually takes place. This is what process prediction offers—the fact-based data that is needed to mitigate or better prepare for what is ahead.
Traditional process mining is focused on looking at historical data. While this approach can offer valuable insights into what worked well and what didn’t, it falls short of offering solutions for present and future iterations.
Predictive analytics help businesses make smarter, more strategic, fact-based decisions by relying on data to determine potential outcomes.
Predictive analytics data supports risk management, enabling companies to predict events, outcomes, and behaviors and develop risk mitigation strategies for potential risks.
Predictive analytics informs customer experience metrics, providing insights about customer behavior that marketing and other teams can take action on.
Predictive analytics improves operational efficiency by guiding the utilization of future resources based on the outcomes of past events.
Process prediction uses historical execution patterns to train an artificial intelligence (AI) engine to predict the likely outcome of a process very early on. For example, an insurance company may use this approach to predict the likely outcome of a claim based on historical data. This proactive approach allows the insurance company to address any potential issues early, leading to faster claims resolution, reduced costs, and improved customer satisfaction.
Because business process prediction is based on historical data, the accuracy of the prediction is dependent upon the quality of the data. AI-based predictive analytics can enhance its accuracy as new data becomes available. Real-time predictive analytics enables an organization to predict outcomes based on the most recent data as it’s coming in, on a continuous basis.
Not all process intelligence tools on the market are the same. Many legacy process mining tools fall short of the expectations of organizations today for a comprehensive process intelligence solution. Organizations should look for a modern tool that is designed to fully meet the demands of today’s enterprises and go beyond surface-level issues. Process prediction can be effectively implemented as part of a complete solution that comprises process discovery, process analysis, process prediction, and process simulation.
Schedule a demo and see how ABBYY Process Intelligence can change the way you work—forever
Download this process intelligence Q&A with NelsonHall and ABBYY to learn whether you should start with process mining or task mining, how process understanding drives data-driven decision-making to avoid automating a poor process, and more.
ABBYY Timeline is a cloud-based process intelligence platform featuring advanced process discovery, analysis, monitoring, simulation, and task mining.
Get a 360-degree view of operations by connecting user interactions with business processes to make data-driven decisions for end-to-end-process optimization.
