Plexflo is the perfect partner for making data-driven modernization and digital transformation happen in your utility or public service organization more effectively than ever before.
With Plexflo, you can easily streamline your workflow and re-use old codebases and legacy spreadsheets to create cloud-based enterprise apps and data products, that can be used for data analytics within the utility. Even cooler, you can do all that analytics without coding, by just chatting.
Spending millions on Cloud deployment but your team loves Excel?
We get it. Using Plexflo, you get a set of plug-ins, widgets, and apps that installs as “add-ons” within existing tools used by your team. These tools can help connect to the cloud, seamlessly behind the scenes. Spending millions of dollars on cloud deployment while your team is obsessed with Excel? Then, you can consolidate the multi-person process into a team workflow using Plexflo’s web-app.
Workforce can be targeted
Reduction in time wasted on looking through legacy code
Plexflo can help you build and manage any analytics platform that you need in the Utility. Scroll right to see a few example analytics enterprise apps built on our platform.
Workflow to forecast renewable energy development projects within an Utility's jurisdiction, and plan how to upgrade feeders to reduce interconnection queues.
Maintain integrity as you migrate your unit's Excel files to Azure while allowing users to continue working on or updating the files locally on their desktop or local folders as needed.
Combine AMI/Smart Meter data streams with third-party external datasets and econometric elements to build a large-scale customer experience customization program.
See your entire network’s vegetation conditions in detail to help utilities plan, optimize, and execute your vegetation management to reduce the risk of wildfires, done at the feeder level.
Plexflo helped build long-term forecasts for internal clients - that has been used for strategic distribution system planning, network upgrade cost calculations, and response to regulatory dockets
Adding EV forecasts to existing CYME models has always been a challenge. This unique capability helps visualize the impacts of EV integration on existing asset health, and improve Cost-of-Service calculations