4 MIN READ
What Is Change Intelligence and Why Do You Need It?
Operations teams sit at the nexus of the people, processes, and systems that drive revenue. While the ops profession is evolving quickly, there's no doubt about its necessity and business value.
Aligning go-to-market teams
pays off.
And while much of that success can be attributed to the grit, technical skills, and ingenuity of ops professionals, they're missing a key resource to do their jobs to the best of their ability. They lack visibility into how elements of their tech stack interact with each other. That's why, to continue to maximize the benefits of operations, it's important to provide ops teams with Change Intelligence.
What is Change Intelligence?
Change Intelligence is total situational awareness of the impacts and dependencies that are necessary to confidently manage complex technology. Change Intelligence solutions guide the art of how to design, implement, and iterate processes that accelerate revenue. If there's one thing that's consistent in the world of operations, it's change. Between implementing new systems and processes, responding to user requests, and solving critical business problems, ops professionals constantly make changes and improvements that have a wide-ranging impact on the business. Change Intelligence enables them to implement those changes with full knowledge of the downstream impacts.Without insight into the impacts of change, operations teams fly blind
Unless they built the company's tech stack and processes from the ground up, it's impossible for any ops professional to truly know every little intricacy of their organizations' processes. The fact is, many ops professionals are forced to accept that they have to fly blind when making change. Fear of breaking something is simply part of the job. But the status quo is costly and threatens to undermine the goal of operations in the first place. Poor data quality wastes 27% of a sales rep's time. And one-third of analysts spend 40% of their time vetting their data before they can actually analyze it. Poor data quality is a symptom of the issues that plague today's businesses:- Data entry errors, often made worse by manual processes and duplication
- Broken automations that force users to create workarounds or miss vital updates
- Relying on a single person and/or poor documentation to know how systems interact