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What is Interaction Data

and Why You Should Care?

Table of Contents

Drive value across your organization, one team at a time. We’ll show you how.

What is Interaction Data?

Interaction Data refers to the digital footprint left by your teams as they interact with various systems and applications, such as ERP, CRM, or custom software. These interactions can include anything from mouse clicks, keystrokes, and navigation between applications. Interaction Data paints a real-time, detailed picture of how work is being done, from individual tasks to broader workflows.

Collecting and analyzing this data allows you to understand how processes are executed, revealing the inefficiencies, bottlenecks, and opportunities that remain hidden when only high-level data or task completion rates are monitored.

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Getting intelligence out of this Interaction Data requires strong AI models to provide a comprehensive, user-centric view of business processes, like Scout.

Scout captures every detail of how users interact with applications in real-time, creating a dynamic work graph that can be analyzed for process improvement, workforce optimization, and automation opportunities.

While traditional process mining tools focus on structured event logs from enterprise applications, technologies like Scout take things a step further by capturing unstructured, user-driven data. It uses AI and machine learning to contextualize user actions, helping your businesses understand not just what work is being done, but how and why it’s being performed.

How Do You Build Intelligence from Interaction Data?

Tools like Scout, leverage advanced technology components to provide insights that were previously unattainable. Some key functionalities include:
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Data Capture and Cleaning

Captures Interaction Data from multiple enterprise applications and devices, including desktop environments, even virtual desktops and mainframes. This data is then cleaned and processed to ensure accuracy and relevance.

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Work Graph

This cleaned data is then used to generate work graphs, which visualize user workflows and allow your businesses to analyze deviations, bottlenecks, and other process inefficiencies.

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Data-backed Recommendations

Uses machine learning models to classify tasks, identify automation opportunities, and highlight areas for improvement. It can also simulate various scenarios, allowing businesses to make data-driven decisions

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Why Should You Care About AI and Interaction Data?

The value of AI and Interaction Data is far-reaching, impacting everything from operational efficiency to employee productivity and customer satisfaction. Here’s why you should care:

Holistic Process Visibility

Provides a complete picture of your business processes by capturing both structured and unstructured data. Traditional process mining solutions only capture around 40% of the data, while the remaining 60%—the human-machine interactions—remain untracked. With AI and Interaction Data, you get a holistic view that helps uncover hidden inefficiencies.

Data-Driven Decision Making

Equips decision-makers with fact-based insights into how work is being performed. By analyzing user interaction patterns, your enterprises can make informed decisions about process changes, workflow optimizations, and automation strategies that align with your business goals.

Improved Employee and Customer Experiences

Your organizations can improve both employee productivity and customer satisfaction. By identifying repetitive manual tasks, you can implement automation to reduce employee burnout and focus on value-adding activities. For customers, optimizing behind-the-scenes processes means faster response times and a smoother overall experience.

Enhanced Efficiency and Cost Savings

Granular insights help your businesses uncover areas where time is wasted—such as application toggling or non-productive tasks. By identifying these inefficiencies, your companies can implement solutions to streamline processes, resulting in cost savings and higher ROI on digital transformation initiatives.

Scaling Automation Pipeline

One of the standout features of AI and Interaction Data is its ability to identify tasks that are ripe for automation. Whether it’s simple data entry or more complex workflows, you can highlight areas where automation can make the most impact, helping your businesses scale their automation efforts more effectively.

AI-Powered Process Optimization

Incorporates AI and machine learning to provide predictive insights, identify trends, and suggest optimizations. This means your processes can evolve dynamically, improving as new data is collected, rather than relying on periodic reviews or audits.

Bottomline

In a world where hyper optimization of your people, processes, and technology is becoming the lifeline of business success, visibility into how work really happens in your organizations is of utmost importance. Leveraging the power of AI and Interaction Data can not only just give you that critical visibility but also find & fix your operational bottlenecks.

This allows your enterprises to reduce costs, improve revenue and elevate customer and employee experience. By adopting AI and Interaction Data, your organizations can unlock the full potential of their digital transformation efforts, driving better business outcomes in a competitive market.

Talk to us

to know how Soroco is using the power of AI and Interaction Data in helping organizations globally to enhance and smoothen their digital transformation journey

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Everest calls this technology category DII. To learn more about AI and Interaction Data, download the complete playbook here.
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Disclaimer: This content is created with inputs from the Everest Playbook on Digital Interaction Intelligence 2024. Click here to learn more

Additional resources

Harvard Business Review

How Much Time Does Having Too Many Apps Really Waste?

Forbes article

Lighting up the dark side of the moon

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