DataFlowX. Less repetition. More flow.
Visual workflows turn data preparation and transformation into a connected process.
Made with these teams in mindData teams, analysts, and businesses organizing recurring data-preparation workflows.
The everyday challenge
Data work shouldn’t start from scratch every time.
Preparation in one place. Transformation in another. Repeating the same steps makes recurring data work harder to follow. DataFlowX gives those steps a visual connection.
- Disconnected preparation steps
- Repeated transformation tasks
- Workflows that are difficult to follow
The DataFlowX perspective
Give the process a clear direction.
DataFlowX is a visual data-processing workflow builder for common preparation and transformation tasks. Connect the work into a process your team can explore and discuss.
- Visual workflow editing
- Data processing
- Transformation pipelines
- Workflow automation
A closer look at DataFlowX
What it can do.
Why it matters.
Start with the workflow. Explore the preparation, processing, and transformation steps it connects.
Follow the workflow01Visual workflow editing
Organize data-processing steps through a visual workflow builder.
02Data processing
Connect the common processing tasks that sit around your data.
03Transformation pipelines
Bring preparation and transformation into a connected process.
04Workflow automation
Explore how recurring data work can fit into an automated workflow.
Inside the idea
A little context.
A clearer flow.
Select a step to explore how DataFlowX connects the work.
A closer look / 01
Give the data a starting point.
Data preparation is part of the documented scope. Discuss the sources and the preparation tasks your workflow needs.
Start with the information you actually use.
Your environment. Your requirements.
Let’s make it
a useful fit.
A good product conversation starts with the people, the workflow, and the practical things around them.
- 01
The data sources
Review formats, sources, and destinations for the proposed workflow.
- 02
The transformation steps
Discuss the preparation and processing tasks your team repeats.
- 03
The operating requirements
Review automation, access, deployment, and integration needs.
Before the next step
Good questions.
Clear answers.
The practical things about DataFlowX.
What is DataFlowX designed to do?
It is a visual data-processing workflow builder for common data preparation, transformation, and automation tasks.
Which sources and formats does it support?
Supported sources and formats need to be confirmed against the current implementation. Share your inputs, outputs, and transformation requirements when requesting a demonstration.
Can it automate recurring workflows?
Workflow automation is in the documented scope. Discuss the steps, frequency, and operating environment you need so the team can review the current support.
How do we evaluate the fit?
Start with a representative workflow and the data it uses. The team can discuss relevant capabilities, supported steps, and the implementation requirements.
Like what you see?
Let’s look closer
at DataFlowX.
Tell us about your team and what you want to improve. We’ll discuss the current implementation, a relevant demonstration, and the next step.