Customer story
Effectively migrating legacy data into Workday
Summary
A Workday Partner wanted to help their customers implement and embrace Workday. Instead, they were finding their time was being spent on Workday data migration planning, and fixing data quality.
Introducing a data loading framework radically changed how quickly they could move past the migration stage of the project — ultimately leading to more valuable time spent properly implementing Workday.
Challenges
- Too much time spent manually managing each client migration from scratch
- Didn't want to spend billable time on learning complex processes
- Needed to handle data in multiple formats
- Identifies faulty data prior to input
- Adapts to new data
- Hides complexity from consultants
- Faster project deliveries
- Reusable approach means more time spent adding value
- Eliminates repetitive work
Less time spent on manually managing Workday data migrations; more time on adding value.
A Workday Partner wanted to help their customers implement and embrace Workday. Instead, they were finding their time was being spent on Workday data migration planning, and fixing data quality.
Their projects usually followed a similar formula of migrating data from legacy systems into Workday. They were having to manually manage each migration from scratch, leading to time being wasted on repetitive manual data work instead of adding real value to their customers..
The Main Objective
A bespoke data migration framework
The firm were looking for ways to save valuable time and resource, and speed up their data migrations. But using generic tools would require them to expand their skillset beyond Workday, an expensive distraction from their billable project time. They needed a solution that would give them the power to fix and verify input data, perform the necessary data conversion, ingest it into Workday, and provide an easy way to manage errors - all while hiding the complexity so that consultants didn’t need to dive into ETL processes. So that’s what we worked with them to build in CloverDX.
Two Simple Solutions
1. Built in data validation for better data quality
Errors and inconsistencies in the client’s legacy data often significantly slows down project delivery, so the data migration framework needed to be efficient in identifying and validating faulty data. The data migration framework built on CloverDX validates input data, and provides easy to understand error descriptions that can be shared back to the client. Combining the technical understanding of the data with the client's domain knowledge has led to better communication and shorter project deliveries.
The data migration process also automatically transforms the data into a Workday-friendly format and loads it directly into individual Workday modules.
2. Planning for the future with a reusable approach
As well as providing module-specific data validations and common data mappings, thereby eliminating a lot of the repetitive work, the solution can also easily adapt to new data, with the consultants only needing to configure inputs and project specific variables.
The reusable data migration approach has drastically reduced the time the consultants need to spend on data migrations, so they can focus more on helping their clients get up and running with their new Workday implementations.
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