Data Mapper

The multi-tool of data conversion management.

Data Mapper effeciently reduces cost, risk and conversion complexity all in one cloud-based system.





Data Mapper is a cloud-based conversion management tool that supports multiple roles throughout
the data conversion process. Data Mapper facilitates collaboration and clarity for business analysts,
conversion developers, quality assurance testers and management alike.

Many companies struggle with data conversions, often using any tool at their convenience, resulting in inefficiency and longer timelines. When preparing for digital transformations, understanding and using the right tool for data conversions is crucial. Data Mapper is that tool.

Built upon decades of data conversion experience, Data Mapper is unique to the industry as a truly all-in-one tool, with proven methodology and unparalleled efficiency. Data Mapper does this by reducing the amount of time required for code development by more than 50 percent.

Conversions may be part of any digital transformation, but most of them don’t utilize one tool for transforming, testing, managing and reporting. Instead, multiple tools are used -- Excel for mapping, an ETL tool for coding, an SQL tool for testing and manual processes for reporting. Data Mapper reduces the cost, risk and complexity of doing a data conversion by consolidating these functions all in one tool.

Our clients have seen at least a 35 percent increase in productivity at a small fraction of their conversion investments. Data Mapper is the logical choice foryour next data conversion project.




Every Data Mapper feature has a role to play in the data conversion process.
From data analyst, to QA tester, Data Mapper does it all.


Data Analyst

Every conversion begins with mapping data from the source system to the target system. We take a data-driven approach to this process. The metadata is stored in a relational database that includes the necessary information required for each field being mapped.


ETL Developer

Data Mapper leverages metadata to streamline the coding process. Using Transact-SQL commands, the developer simply reads the transformation logic provided for each field and converts that into SQL statements. These statements are easy to develop and do not require specialized tool-specific syntax.


QA Tester

The QA tester also reads the specifications from the data analyst, to create code independent of the ETL developer, ending in comparative results. The system compares the results of these two efforts for records being converted and reports any differences found.


Data Mapper

Data Mapper automatically generates easy-to-read specifications, forming the basis for a mutually agreed upon target. Having complete documentation of the specifications, coding and testing results satisfies the demands of even the most stringent internal or external conversion audit. Data Mapper is transparent and accessible.



My responsibility as Project Owner of the conversion is to ensure we get the data migration work done correctly and in a timely manner, while taking into account ongoing changes in the configuration of the new system that would affect conversion. We are halfway through a claims system conversion and our team is on track to meet, and possibly, beat our timeline. Although we only started using the Data Mapper Tool some time into the project, it has increased our velocity and accuracy significantly by providing key metrics that help our team focus on their progress on a daily basis.

The ability to quickly and accurately share information is of paramount importance between our staff who have knowledge of the source data, and the consultants whose expertise is the new claims system. The Tool provides a source field mapping feature that allows our staff to reference profiled table/column data and copy that data directly into the transformation logic. If additional transformation rules need to be applied they are added as comments. The Business Analyst, Data Analyst, Developer and QA teams have transparency and direct access to the same information so there is maximum process efficiency.

The Tool is intuitive and our learning curve was only slower because we were already partway through the project. Once we determined how our process would best work with the Tool, we made some adjustments to the status labels, and saw a decrease in testing errors as a result of our team creating unit tests for each mapped column. Communication and tracking within the Tool are very effective as we are able to pose, and answer, questions situationally so that relevant information is kept together. Where the Data Mapper Tool really shines is in its flexibility. When we have had to pivot and change our process, the Tool has easily changed with us, with almost no time taken away from the project work. The Reports available in the Tool cover every need you may have but are also editable for further flexibility. The Data Mapper Tool has been invaluable to our project and I firmly believe we would not be where we are without it.

Zehra Patwa
Business Analytics Technology Project Manager

I worked on a major claims system implementation project for a P&C insurer doing data modeling and data mapping for integrations and during that time I had the pleasure of working with an early version of The Data Mapper tool. It made all the difference in that project. Unlike other source-to-target mapping efforts I'd been a part of in the past, which were plagued with spreadsheet management problems, we had a tool that gave us a standard way to approach our data mapping and our communication of requirements to the ETL developers, as well as all of the impact analysis capabilities that come with managing this information in a real database. Additionally, it allowed us to significantly improve the effectiveness and efficiency of our testing process. I'm excited to see the great new capabilities that have been added to the software since then and I'm planning to use it for my clients going forward.

Timothy A Gannon
Senior Associate | Big 4 Accounting Firm

I worked on a major claims system implementation project for a P&C insurer doing data modeling and data mapping for integrations and during that time I had the pleasure of working with an early version of The Data Mapper tool. It made all the difference in that project.

Aaron Fuller
Principal Consultant | Superior Data Strategies, LLC