by Jon Knisley, Sep 10, 2020 3:43:49 PM
Developing a deep and detailed understanding of your business processes lets you root out inefficiencies, double down on operational excellence, and make better, more informed decisions to reach your goals. But simply mining system log files misses the details in every process, while deploying consultants to map processes takes time and disrupts operations. Instead, intelligently decoding how your people and processes really work, across systems and screens, and across your entire business, is a better approach.
Capturing process intelligence to understand business processes has traditionally been tough to obtain because the methods have been manual. The drawback is that it results in static, incomplete process data. Today’s technologies, which evolved from these traditional methods, offer an automated and intelligent approach that’s both faster and captures more detail.
Here’s how process insight capture has evolved:
Process Intelligence advances process discovery by using computer vision and Artificial Intelligence (AI) to uncover actionable process insights at enterprise scale. It has the speed and coverage to capture, record, and analyze granular steps in complex use cases, plus adds intelligence to quickly identify new opportunities.
This spectrum of process insight techniques is referred to as a top-down manual approach, versus a bottom-up intelligence-driven approach. They all help you gain a better understanding of processes, but the bottom-up approach offers more granular insights, faster and across a wider range of processes. The result is more business impact in less time.
Choosing an Approach to Gathering Process Insights
If you have process insight experience, you may lean towards combining multiple approaches to address specific requirements. But if you’re tackling a project for the first time, it can be difficult to determine the best approach.
A top-down manual approach adds the perceived expertise and guidance of a team of consultants. That can be helpful but adds more cost and time by a few orders of magnitude. On the other hand, a modern bottom-up approach offers deeper insights and faster results but puts the decisions in your hands.
So, the question is, do you take a bottom-up or top-down approach?
Top-Down Misses the Detail
Top-down process mining technologies piece together a process within a single system, but since they do not capture granular user level activity, they don’t capture all the key steps of users or systems. For example, process exceptions and variations are not reliably identified because they may involve activities outside the analyzed system.
Additionally, enterprises often run hundreds of applications. Many of those—including Excel and common email clients—don’t generate usable log files. So, any use of those tools will not be captured, and the resulting process maps won’t represent the complete business process. The missed steps then aren’t included in automation efforts, resulting in costly rework once deployed.
Bottom-Up Provides More Insights and Speed
In contrast, process intelligence and process discovery technologies capture detailed user activity across all systems and tools, covering every granular step, including task interdependencies and connections. There is no need to access APIs or log files to create the process maps, which speeds the entire project, and the more complete insights keep you from automating broken or inefficient processes. Analytics can also quickly compare processes and system usage across teams and tasks.
Speed is what really separates the top-down and bottom-up approaches. You can expect to receive business value in weeks with Process Intelligence instead of months with Process Mining.
|Full capture of sub-process activity and variations||Limited view of end-to-end functional workflows|
People & Process Coverage
|Full coverage across all systems and teams||Limited coverage to systems with log files|
Degree of Specificity
|Level 5 step-by-step process and sub-process details||Level 3 general workflows|
Time to Value
|Weeks to deploy to desktop sensors and collect data||Months to integrate back-end systems and map data|
|Granular activity data is comprehensive and actionable||System-only data leaves process gaps|
Start at the Process Itself
If you are exploring process insights for the first time, Process Intelligence is the logical starting point given its more comprehensive view of operations. It offers a faster time to value, takes less IT resources since you are not integrating with APIs or capturing log files, and is substantially less expensive and disruptive than unleashing a team of consultants into your operations.
As you eventually dig deeper for process insights, Process Mining could complement Process Intelligence, however. Combining both approaches provides the most comprehensive insight on the implications of a process. Interested in how FortressIQ provides process intelligence quickly and efficiently? Read our solution brief to see how you can get started.