Transformation Projects
Transform with confidence and don't let data stand in the way of your project success
Transform with confidence and don't let data stand in the way of your project success
Faulty master data can technically prevent the successful migration or lead to unexpected process disruptions after go-live which is a potential showstopper for the entire project.
Business departments are often left alone and caught up with managing their data problems, resulting in inconsistencies, failures, and never-ending finger-pointing.
Data integration requires careful transformation and consolidation. Incorrect, inconsistent, or incomplete data can easily ruin the go-live.
Integrating supplier and spend data from different data sources, Data Quality Navigator's proven matching algorithms reliably identify linked records. Guided workflows support the golden record selection for different target systems (e.g., Jaggaer or Ariba).
Data Quality Navigator integrates customer and vendor data from various sources. Proven matching algorithms identify linked records, while guided workflows aid in efficiently selecting the "golden record" for large data sets.
Data Quality Navigator's holistic approach to data quality control, harmonization, and migration provides both - the capable software and the proven methodology - to guide your digital transformation project. It reduces project risks and allows teams to focus on the business side of your transformation.
Data Quality Navigator's no-code migration approach closes the gap between business and technical requirements and enables a frictionless data transformation based on a powerful migration engine.
