Quick Guide to Decision Making with Hyperautomation and Data Analytics

In business, making the right decisions can be the difference between decades of success and stagnation. With technologies like hyperautomation, AI, and machine learning, businesses can ensure they’re making educated, data-driven decisions with the help of predictive analytics.  

Learn more about hyperautomation and how it can be used in business decision making below. 

Impact applied these automation concepts to our own admin department and saw a massive increase in available data and decrease in wasted time. See exactly what we did in our detailed case study.

What is Hyperautomation? 

Hyperautomation is the combination of many different automation and digital innovation technologies like robotic process automation (RPA), advanced data analytics, AI, machine learning, and business process automation (BPA). 

All these technologies are designed to take over tasks that were previously done manually by people, but which take up too much time and effort. 

Hyperautomation is just the act of taking simpler business automation and cranking it up a notch to cover more things within a business.

In general, there are a few main forms of automation in business: 

1. Task Automation: This consists of automating smaller, routine tasks that were formerly handled manually by usually a single person. These are typically simpler tasks like setting automatic notifications. 
    
2. Process Automation: This form of automation takes this to a new level of complexity by automating long-running processes like finding and deleting redundant entries in a database over a long period of time. 

How Can Hyperautomation Be Used in Business Decision Making? 

The upsides of automation are well documented: streamlined processes, savings on time and money, improved customer satisfaction, and increased productivity are just a few. But the largest boon for businesses comes from what people can do with their extra time and the additional information taken from the data analytics side of hyperautomation. 

When it comes to data, hyperautomation brings forth many unique benefits, including: 

• Increased and easier collaboration between teams 
• Faster access to real-time data 
• Higher visibility into business operations 
• Enhanced customer experiences and tracking 
• Better tracking of equipment performance, including the creation of digital twins 

One thing each of these benefits of hyperautomation have in common is that they make it easier for people to make difficult decisions. Whether it’s having the right data to base an opinion on or seeing cracks in a process due to increased visibility, hyperautomation enhances a business’ ability to reflect upon itself and report its findings in a universal language: numbers. 

Not only does hyperautomation get this information faster, but it also does it more accurately, and in a fashion that’s more easily shared between teams so everyone within an organization can access it and utilize it in their day-to-day tasks.  

This unites a business’ data in one centralized location which allows the entire company to make use of real-time, actionable data. 

How AI and Machine Learning Help 

Making decisions is not only just about reading what has happened in the past, but it’s also about predicting what might happen in the future. But a human’s foresight only goes so far and relying on a coworker’s intuition, or “gut feeling,” won’t always work out. 

Related Blog: What is the Difference Between Big Data and Business Intelligence? 

So, instead, we must rely on machines that are able to collect, analyze, and report using historical data to make educated predictions on the future. These AI and machine learning technologies can sift through more data than a human ever could in a fraction of the time and connect key points, trends, and abnormalities easier.  

This gives it the ability to decide what works, why it works, what’s a fluke, and what might work in the future. The closest thing business owners will ever have to a crystal ball. 

Why is Hyperautomation so Good at Tracking Data? 

Hyperautomation is such a positive for businesses when it comes to data collection and analysis because, when implemented effectively, it has roots across your organization. Hyperautomation can be integrated into many core systems that drive your business from your ERP to your CRM. All of this data can be brought together and reported using hyperautomation. 

In Conclusion 

Hyperautomation is changing the way businesses make decisions with data. With its reach into multiple facets of a company, hyperautomation and its many benefits can help everyone in an organization make better, data-driven decisions. 

At Impact, anything we offer to clients, we test on ourselves first. See how hyperautomation revolutionized our admin operations in our detailed case study.