Why You Need to Invest in Analytics Before You Invest in RPA Fin Analytics
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Why You Need to Invest in Analytics Before You Invest in RPA


Before You Work on RPA, Make Sure You Have The Proper Analytics to Know What to Automate and How To Measure The Impact.


In the last two years we have started to see the dramatic rise of RPA (Robotic Process Automation) in the enterprise. Companies like UIpath, Blue Prism, Work Fusion, and Tonkean are enabling companies to build ‘bots’ to perform routine tasks and focus team members on the most important human work.

RPA is clearly the ‘practical’ future of automation in the workplace. The leverage that companies are getting out of being able to ‘script’ the rote parts of their human work, and focus their knowledge workers on the most impactful work is demonstrable and meaningful.

The challenge in implementing RPA, is knowing what to automate, and how to automate it, and then understanding the ROI of your investment

Measure Before You Start Automating

You can’t start down the path of using RPA until you know what to automate. And you can’t really know what to automate until you understand in detail what your teams are spending time and effort doing.

Until you have that insight you cannot properly decide where to invest in automation, and then understand the impact of the automation you build.

As of today, almost no companies actually have this knowledge - because human knowledge work is notoriously hard to measure. That leaves really only two paths:

Option 1: Implement RPA without insight into your existing workforce

Many companies are doing just this - skipping analytics and jumping right into RPA. This is not advisable. It makes it impossible to know whether or not the effort you are putting into RPA is being well spent, and impossible to know after-the-fact if your investment truly paid off.

There is enough excitement about RPA that many orgs go down this path in the short-term… but without data to support that the investments being made in RPA are the right ones and understanding the impact of work, this is not a great long-term strategy.

Option 2: Do Time and Motion Studies with Consultants

Major consulting firms have been doing time-and-motion studies for decades for large enterprises. For six or seven figures, a great consulting firm will send people to watch and document the operations work of your company and give advice on where automation should fit.

This is better than doing no measurement at all, but this is an antiquated approach to solving the problem.

At best, this approach gives you a small sample of the work being done / consultants can only study a subset of your population. Because it is largely manual work, it doesn’t scale well for followups, and often misses important nuance.

Fin Analytics: The Solution for Measurement to Enable RPA

Fin Analytics is a tool specifically designed to measure Human Knowledge Work. Similar to how Google Analytics and Mixpanel turn marketing into a science rather than a guessing game, we take the ‘black box’ of what happens on human operations teams and make it into clear and actionable data and insights.

The tool is a small plugin that runs on each computer that your team uses for human operations work. It logs full video, an action stream of every scroll-click, etc. that each person does & optionally things like system audio and microphone for phone calls.

The data is all streamed back to your Fin Analytics dashboard, where you get the ‘game tape’ and a powerful dataset of all the operations work being done at the company.

Our data gives you the deep insights to know exactly where time is spent, what leads to mistakes, etc. that you need to know in order to make decisions about where to implement RPA. You can understand and aggregate every action in every task rather than taking a sampling.

Video lets your engineers and process managers go beyond the data, and get a first-hand sense of exactly how work was completed. Just like NFL game tape - your leaders, just like coaches - can rewind and analyze work on the ground to get a full sense of what happened.

Fin Analytics helps you coach your team better with specific and personal examples. It helps you understand and debug process - it demonstrably drives quality and efficiency of work - but for those interested specifically in RPA the payoff is several-fold:

  1. Get Ground Truth: Fin Analytics shows you exactly where effort is going on your operations team, so you know where to automate.
  2. Know How To Build: Fin Analytics helps you know exactly how to build your RPA process. Your leaders can easily replay on-demand on-demand at multiple times speed the process steps you want to automate - so you do it properly the first time.
  3. Measure ROI of Automation: Fin Analytics gives you a clear sense of the payoff from automation - where it is working and where it is not. Rather than relying upon abstract ‘outcome only’ metrics, FA gives you the process information to know where your RPA is speeding you up, and precisely by how much.

Conclusion

We believe in RPA as much as anyone. It is the future - but as happens frequently when the future is near, the mistake is to jump forward without the data and insights necessary to jump forward ‘well’.

Before you and your team invest deeply in RPA, reach out to us at Fin and we can help you instrument your knowledge work so that you get the most out of it.

– The Fin Team


GET STARTED WITH FIN ANALYTICS

Fin Analytics gives your team ‘full funnel’ insights into your team’s work. Continuous live video and action logging you get the insights you need to provide better coaching and training, and the analytics you need to know where to focus process and engineering resources

We are happy to share with you industry specific case studies, and give you a custom walkthrough of the tool, or you can review our