The Analytics Hub for
Data Scientists and
Decision Makers
Unify real time, historic, and transactional data with little to no code
"The link between our historian and the boardroom"
Operators, team leaders, and managers have one common problem ...
Collecting data is simple; turning it into actionable information is not! Data management, collation, and contextualization is the biggest problem facing industry today.
But imagine what you could do if you had a scalable platform built specifically for IT teams to transform OT and IoT data streams into analytics-ready information. Flow includes the tools you need to:
Model
Consolidated modeling to abstract and unify multiple underlying namespaces
Connect
Connection into multiple data sources, including OT, IoT, IT, and manually entered
Transform
Calculation services to clean, transform, contextualize, and combine time-series and transactional data
Visualize
Decision support via browser- based visualization, reporting, dashboarding, and notification
Bridge
Data collection and bridging via industry standard -protocols, including MQTT and REST
For scalability, Flow provides a modeling and configuration environment with an open architecture and templating. Leverage the work you have done in your existing systems while using Flow's self-service no code/low code approach.
"A foundation upon which IT can build value-adding apps"
"The link between our historian and the boardroom"
"It turns tons of data into analytics-ready information"
"Analytics for our Industrial Operations"
"I don't know how we lived without Flow"
"When I arrived at ABInBev, my concept of data transmission was an excel file on a USB flash drive. That has changed drastically with the incredible need for easily accessible, accurate and real-time information. Flow has become the standard tool within ABInBev Africa, with all our breweries using Flow for real time information and reporting", Rowan Ray, Tech Supply Specialist, ABInBev
Industrial Data Management is hard. Which ways have you tried?
Let's move everything to the cloud, to our data lake
Ever heard this one? Is the data in the lake structured and modeled? Is it accessible to all your people? Are your analysts spending half their time searching for and massaging the data? What about bandwidth costs? Is the lake actually being used, or has it turned into an unusable swamp?
Let's keep using our spreadsheet system
How about this one? How often is the spreadsheet incomplete in your morning meeting? How often do the spreadsheet files become corrupted? How do you know a key value being reported hasn't been changed without you knowing? In the end, how many versions of the "truth" do you have?
We'll get our historian vendor to build the extra functionality we need
This one happens a lot! You get your historian vendor to build a new chart type, one you've always wanted, great! Now you want to use this shiny new chart to show some data from a different database. Can you get that data into your historian? Does it make sense to duplicate your transactional data into a time-series format?
Let's custom build it; it won't take long
This is a common one. But, do you know how long it will take? Six months, a year, maybe two? Will you need a dedicated development team? Will they keep up with new requests? What if they resign?
Time to learn more about Flow?
