Process Analytics

Up until now the problem with analytical data mining was that it could only tell you so much and even then, only those things that the programmer deemed to be valuable. Not anymore. With AI power at its disposal and the ability to be programmed easily by people with real-world business experience and questions to be answered, process analysis can now be relied on to not only answer the question you have, but it can help you formulate new and more powerful ones.

This means that your IT department doesn’t have to be involved in solving complex business problems they don’t really understand or are interested in.

This newfound ease of use is coupled with the ability to display complex data in ways that will make it easy to understand for even the least technical members of your team. Whether it be a down the line study of time in the process, organization mapping or a vast all of enterprise process discovery and restructuring, the tools exist to make it happen repeatably, cost-effectively and easily.

One of the huge advantages to these new tools are there ability to draw their data from multiple and disparate data sources so that an all of the enterprise investigation is truly that and not a cobbled-together collection of data sets that don’t really relate to each other.

On their own, these tools are very powerful but when combined in the right technology stack, they allow you to roadmap your business for the inevitable restructuring that digitisation will undoubtedly demand. This means you will be making forward-facing IT decisions with high ROI and low Tech debt based on real data, not just opinion. How many robots do I actually need? Where do I put them? What is the most effective means to manage them? These are the sorts of questions that can be answered reliably, As the tech is infinitely reconfigurable once you have the answer to the questions you need to answer now, tomorrows answers are available quickly without involving IT experts.

Futurework.AI is ready to show you how.