Poor data standardization is a hidden profit killer. When customer names, products, or sales figures appear in different formats across systems (and often even within
With 89% of employees reporting sifting through up to six data sources daily to find relevant information, data sprawl emerges as a major culprit undermining
Of U.S. healthcare providers have incurred an adverse event within the last two years due to a patient matching issue. Survey from eHI and NextGate
We have delivered data quality solutions to Fortune 500 companies for over a decade. We often come across clients who are confused about how to
With hundreds of data sources and an average of 259 distinct software applications and systems, organizations are drowning in information and tools. This, coupled with
Today, business growth greatly depends on how effectively you can harness information. And while the average number of applications businesses use increased from 843 in
Imagine a doctor trying to retrieve a patient’s medical history, but instead of one accurate record, they find three profiles – one with an outdated
Data compliance standards (such as GDPR, HIPAA, and CCPA, etc.) are compelling corporations to revisit and revise their data management strategies. Although each standard enforces
Address data is semi-structured, making it one of the most challenging components in a data matching activity. For long now, manual data matching methods including
As data undergoes a paradigm shift, so do the systems, processes, and approaches involved. Legacy systems are dying. Batch ETL pipelines are slowly becoming obsolete. Ownership is moving away from IT to
Let’s face it – it’s embarrassing when you send out mails to the wrong audience set. More so, it is costly. Millions of dollars go
States across the U.S. are ramping up their data efforts in deploying statewide longitudinal data systems (SLDS) that contain information on public school students. The
Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of the enterprise data ecosystem without friction.
