📌 Process Digitization Analytics Summary

Process digitisation analytics refers to the use of data analysis tools and techniques to monitor, measure, and improve business processes that have been converted from manual to digital formats. It focuses on collecting and analysing data generated during digital workflows to identify inefficiencies, bottlenecks, and opportunities for improvement. By using analytics, organisations can make informed decisions to optimise their digital processes for better outcomes and resource use.

🙋🏻‍♂️ Explain Process Digitization Analytics Simply

Imagine your school switches from paper homework to online assignments. Process digitisation analytics is like checking how students use the online system, how long they take, and where they get stuck, so teachers can make the system better. It is similar to using a fitness tracker for your daily routine, but instead of tracking steps, it tracks how smoothly digital tasks are completed.

📅 How Can it be used?

Use process digitisation analytics to monitor and improve the efficiency of an online customer support ticketing system.

🗺️ Real World Examples

A hospital uses process digitisation analytics to monitor its electronic patient record system. By analysing how staff access and update records, the hospital identifies delays in updating patient information and streamlines the workflow, reducing patient wait times and improving care quality.

A retail company applies process digitisation analytics to its online order fulfilment process. By tracking each step from order placement to delivery, the company spots frequent delays at the packaging stage and introduces automation to speed up the process, resulting in faster deliveries and increased customer satisfaction.

✅ FAQ

Process digitisation analytics is about using data to keep track of and improve business processes that have been made digital. Instead of relying on guesswork, organisations can see exactly where things might be slowing down or where resources are being wasted. This means better decision-making and smoother, more efficient ways of working.

By analysing the data created as your team works through digital processes, you can spot patterns and issues that might not be obvious otherwise. This helps you fix problems faster, make smarter use of your resources, and keep things running efficiently, which can save both time and money.

Process digitisation analytics can highlight areas where tasks get stuck, show if steps are taking longer than they should, or reveal where mistakes often happen. With this information, you can make changes that improve workflow, reduce delays, and boost overall productivity.

📚 Categories

• Business Transformation
• Data Science
• Digital Transformation

🔗 External Reference Links

Process Digitization Analytics link

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