If you’re operating an intelligent automation program using Robotic Process Automation (RPA), you understand that there are many moving parts. You have the bots that you are building, the processes that those bots are automating, and much more. And everything you do, or your intelligent automation program does, regarding streamlining and accelerating processes can be analyzed through data.
The data will talk to you about your operation, but only if you’re willing to listen and if you have a way to get the messages in the crowd. As the RPA , enterprises, and centers of excellence are bombarded with data about their intelligent automation program. Sound familiar? That data is fed to you in the form of raw information such as spreadsheets.
You can receive thousands and thousands of lines of siloed data. But getting any actionable and valuable insights from the data can leave you faced with the question, “How am I going to make the most out of this overwhelming amount of data?”
Each RPA data silo has its story
Buried in the siloed data of processes are valuable insights about automating your operations, for example, how many times has your RPA bot run successfully, how many times has the bot failed, and, more importantly, if you’re using your infrastructure efficiently. In the case of business analytics, the data you get from creating sales orders can tell you whom you’re selling to and how much you’re selling. You can learn if your supply meets demand or, if you get data regarding shipments of your goods, how many shipments are in progress.
The siloed data from each process can tell you only a fraction of your entire intelligent automation program. Not only do you need those individual stories but also a way to integrate them into one complete view of your operations. That’s why it’s important to have a tool that can take each of the data silos and combine and analyze them to tell the overarching story, allowing you to make better decisions and take action to optimize your ROI.
Not all tools are equal
Because of the complexity and overhead involved in collecting, filtering, and analyzing data, standalone analytics tools are not optimal for your RPA data. The pools of data used to get insights are updated infrequently, and some data warehouses can even require a month or more before they’re able to absorb new data. This leads to your data becoming outdated and irrelevant by the time you’re ready to consume it.
Consider a tool with real-time insights
Having access to an analytics tool that gives you instant insights means you’ll get the real-time data you need to make faster, smarter decisions. Take for example Bot Insight, an RPA analytics that can offer you the complete story of your intelligent automation program.
It combines information from data silos and time-to-insights that can be easily customized for the insights you need. Your insights can also be accessed through a mobile application that provides always-on, always-available monitoring at your fingertips and can be integrated with your existing data visualization tools.
With real-time, integrated insights into your operations and business, you can take immediate action to optimize your intelligent automation program.