How good is your data?
Data Quality Dimensions
Integrity: Data data meet quality standards?
Completeness: does all the required data recorded?
Validity: does the data conform to the data type?
Uniqueness: are there duplicates?
Accuracy: how accurate is the data?
Consistency: does the same data hold the same value in different data sets?
A Harvard Business Review study estimates that only 3% of companies’ data meets basic quality standards.
Turn your data from a liability to an asset you can trust by ensuring that all seven Data Quality Dimensions are accounted for.
We offer services to establish data quality across the organization, helping you:
Get your Data clean
Keep your Data clean
Get your Data Clean
We offer rapid cleansing, harmonization and enrichment. We do this using a thorough health assessment, industry best-practice templates and automation. Our industry focused expertise that accounts for nuances in your industry.
Our services are technology agnostic - we can work with data from almost any ERP and any database.
We focus on training and change management to optimize your ROI and ensure adoption across your organization.
Keep your Data Clean
Data Quality requires regular maintenance.
Data Sherpa makes it easy, using automations and workflows to ensure that your incomplete data across your systems are reconciled to build gold standard data across your enterprise.
We help you choose and deploy your best-fit data platform to help drive clean, relevant data.
We also train Data Stewards to ensure ongoing data quality in your organization.
Industry Focused Data Accelerators
Parts Data Cloud Dictionary for EAM & Supply Chain
Parts Data Template Library for EAM & Supply Chain
Vendor on-boarding and data validation for Procurement & Supply Chain
Vendor Master Data Quality
Customer Master Data Quality
Utilities SAP IS-U Document Archiving
Address Gold Copy
Banking & Financial Data
