Introduction to Nexadata Workflows
Nexadata Workflows are powerful tools designed to centralize and streamline your data harmonization needs. With Workflows, you can combine all relevant data—including structured, semi-structured, and unstructured formats—into a single, automated, and intelligent process that supports your business objectives.
One Place for All Your Data
Workflows allow you to organize and process a variety of data types:
Structured data such as CSV files or information pulled directly from applications like Salesforce or HubSpot
Semi-structured data such as Excel or Google Sheets (coming soon)
Unstructured data including PDFs, documents, and text files
All supporting datasets can be combined and managed within a single Workflow.
Intelligent, Automated, and Integrated
Nexadata Workflows let you harmonize your data in a way that is:
Automated – no manual intervention needed
Integrated – connects directly to your source systems
Scheduled – runs on a defined timetable to keep data fresh and accurate (coming soon)
Notified - get alerts when workflows complete, fail, or require attention (coming soon)
This helps ensure your business-critical data is always analysis-ready and aligned to planning, analytics, and reporting systems.
Say Goodbye to Manual Data Tasks
Traditionally, users would need to:
Manually download and clean datasets
Rekey or reformat data from various sources
Build complex, one-off integrations for each system
With Nexadata Workflows, these fragmented tasks are unified into a single automated Workflow, saving time and reducing errors while ensuring traceability and scalability.
Built for Scale and Confidence
Each Workflow is designed to be:
Repeatable – run the same task reliably, every time
Maintainable – easy to update without rewriting everything
Flexible – adapts to changing data or business needs
Auditable – trace every step for compliance and quality
Usable – intuitive and approachable for both technical and business users
Explore More About Workflows
Ready to go deeper? Learn more in the following articles: