What is Analytic Process Automation?
Companies are collecting more data than ever before. However, collecting data is different from using data.
A recent study found that 55 percent of all collected data is dark data. Dark data refers to data that has been captured, but organizations don’t know how to use it. It also refers to data that organizations don’t even know they have.
Companies don’t take advantage of dark data for various reasons. Often, this data is missing or incomplete, there’s no tool available to analyze the data, or the organization simply has too much data to handle.
If you find that your organization is having trouble organizing all of its data, then you need to take advantage of analytic process automation (APA).
Analytic process automation refers to the technology that allows organizations to share and automate data, as well as turn data into results. With APA, your company can unlock prescriptive and predictive insights that lead to a faster return on investment.
Analytic process automation removes the analytic barriers by converging the capabilities of multiple tools into one seamless platform. This allows for accurate end-to-end, self-service data analytics.
With a unified platform, you’ll have automation capabilities for all of your organization’s analytic functions. The platform allows your organization to combine artificial intelligence, machine learning, business process automation, and code-free data science all in one platform. Best of all, anyone in your organization can access these capabilities.
You can think of APA as an all-in-one, supercharged data analytics machine. Whether you want to clean up some data, merge multiple different data types, or automate complex data tasks, an APA platform can help you.
In simple terms, APA automates your analytics process. While your organization is still in charge of picking the data it wants to use and the answers you want to get from the data, the APA platform takes care of all the rest.
Analytic process automation isn’t just a spreadsheet or a data visualization tool. With APA, you can select different and multiple datasets. You can then clean them, prep them, and perform predictive and prescriptive analytics on them using the APA. Then, you can export the data into multiple formats and send it to anyone in your organization.
And the best part is, anyone in your organization can do this. Here’s a peek into how the APA process works:
Without APA, analysts waste a lot of time searching for data. By widening and simplifying self-service access to data, APA democratizes analytics and data. It does this without anyone on your team needing specialized skills.
This helps to decrease the amount of time your organization spends collecting and preparing data for analysis. This means you can get quick wins from your data in a matter of hours or days.
APA also helps to automate and optimize processes.
