Data, an organization’s intellectual asset, must be treated and regularly enriched to remain useful and valuable. Over 80% of companies we’ve worked with, — including
44% of companies lose over 10% of annual revenue due to poor-quality CRM data. This shows how many CRM users’ trust in their data is
Having delivered merge purge solutions to clients for over a decade, we consider merge purge operations to be an essential function in business operations like
Data preparation tools have been around for quite some time now. Most of these tools though require users to be proficient in programming languages &
As companies are spending billions of dollars investing in big data with the hopes of turning data into money, the need for efficient, easy-to-use data preparation
Did you know that 8% of deliveries in the U.S. fail the first time, costing businesses an average of $17.20 per package? While there are
Part of doing business – whether locally or worldwide involves ensuring you have the right customer address data. Without a strong address standardization process in
A data cleansing tool is perhaps the most powerful and yet the most underestimated solution. Companies spend millions of dollars in procuring cloud solutions and
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
Mergers & acquisitions happen when companies believe they are more valuable together than when operating separately. The companies join workforces, systems, infrastructure, and data to
Data scrubbing, also commonly known as data cleaning is a process that refines your data by removing duplicates and fixing unstructured content. If you’ve been
In a world fascinated with the limitless opportunities of AI, ML, and predictive analysis, data quality has become a significant challenge. Businesses are on edge
Get started with our fully-functional free trial.
No credit card needed.
"*" indicates required fields
Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of enterprise data ecosystem without friction.
