Resources
Whitepapers
Why in-house data quality projects fail
In our decades of working with Fortune 500 companies, enterprise organizations & public sector institutions in 40+ countries, we have consistently seen in-house data quality
Using Data Ladder’s record linkage in enterprise level healthcare systems
The purpose of this quick paper is to demonstrate how Data Ladder’s DataMatch solution can be used to help federal healthcare and government-sponsored institutions to
Role of data matching in implementing and enhancing interagency SLDS
The Statewide Longitudinal Data Systems (SLDS) grant allows State educational agencies to, “design, develop and implement statewide, longitudinal data systems to efficiently and accurately manage,
Identity resolution for government and public sector institutions
Data quality isn’t just an attempt at modernizing processes – it is quite literally an attempt at preventing costly damages to government offices as well
How to get the data you need to build a unified, 360 customer view
A 360-customer view is a holistic, consolidated and consistent representation of an organization’s customer data. Customers expect interactions with an organization to reflect their current
How to ensure a successful CRM migration
Research conducted by Data Migration Pro reveals that only 37% of CRM migration projects were completed within the originally budgeted cost and timeframe. Most migrations
How legacy systems and bad data quality hinders a digital transformation plan
Working with private and government organizations for nearly two decades, we’ve seen how poor master data quality residing in outdated legacy systems can potentially destroy
How best-in class fuzzy matching solutions work: Combining established and proprietary algorithms
While data matching used to be an easy activity, over the years, the type, format, and complexity of raw data has changed. Today it’s no
Establishing data quality standards for business success
Download this whitepaper and learn: The struggle of hosting data in Salesforce, Fusion, Excel, and other asset management systems Data quality as the key factor