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Data Ladder @DataLadder

Data Ladder's Data Cleansing software helps you to Get the Most Out of Your Data through Data Quality, Cleansing, Matching and Deduplication in one suite.

Joined June 2009
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Preparing source data for analysis is tedious and time-consuming. Book a demo to learn how your organization can overcome these problems. zcu.io/mlsY #dataladder #datapreparation #data #highquality #software
Thanks to DataMatch Enterprise, Bell Bank was able to drastically cut down unnecessary costs and enhance its operational efficiency. This, in turn, enabled the bank to deliver superior customer service and customer experience. #dataladder #data #datapreparation #software
Anti-money laundering statistics show that 95% of system-generated alerts are false positives, costing firms billions of dollars every year in wasted investigation time. #dataladder #fraud #moneylaundering #financialinstitution Read our whitepaper! zcu.io/cX9k
Find out how DataMatch Enterprise's address data cleansing features can verify the validity and improve the deliverability of a physical mailing address for your direct mail campaigns. zcu.io/QYwV #dataladder #dataquality #addressdata #addressvalidation #covid
In this post, we’ll look at the problem of duplicate data and how a dedupe software can be used in resolving it. zcu.io/wc9o #dataladder #aml #dataquality #duplicates #government
In this post, we’ll look at the problem of duplicate data and how a dedupe software can be used in resolving it. zcu.io/wc9o #dataladder #aml #dataquality #duplicates #government
Thanks to DataMatch Enterprise, identifying leads that are not a good fit for Gibraltar Group became a far smoother process. Now the marketing team can simply segment it and load it into the CRM for nurture marketing campaigns. #dataladder #software #data #dataquality #success
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Experts report that just the operational cost of undeliverable mail ranges from $1 to $3 per mail! Fix your data & save unnecessary expenses. zcu.io/B0Ad #dataladder #dataquality #software #data #baddata
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 solutions failing. Here’s why. zcu.io/QmTN #dataladder #software #datacleansing #dataquality
Data duplication is a serious problem affecting the integrity of your data. Here's a #data deduplication guide to help you take charge of your data. Read our blog: dataladder.com/the-duplicate… #dataladder #dataanalytics #software #softwarecompany
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With ProductMatch, clean product data, create taxonomies & organize information with the help of AI and ML technologies. dataladder.com/productmatch-… #dataladder #productmatch #productdata #semanticrecognition #software
The increasing volume of incoming data and a variety of sources makes it difficult for organizations to govern how data is entered, thereby affecting accuracy and completeness. #dataladder #addressverification #dirtydata #software
Check the validity and deliverability of a physical mailing address with our updated data quality technology. DataMatch Enterprise Server Edition comes equipped with address validation and geocoding technology, which helps standardize your address lists for mailings.
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If the city, state, street number and lanes are not correct, your #address cannot be validated. But what exactly is address #validation, why it matters and how do you do it? Read along as we help you understand the basics of address validation. dataladder.com/address-valid… #dataladder
In this quick post, I cover key challenges to manual address data matching and how a point-to-click, self-service solution may be what your team needs to increase productivity and efficiency while obtaining accurate results. dataladder.com/address-data-… #dataladder #address #zipcode
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After testing several competitive solutions, St. John Associates settled on DataMatch Enterprise as their tool of choice. A key factor in the decision was the user-friendly, point-to-click interface. dataladder.com/st-john-assoc… #dataladder #datamatch #organization #singlesource
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We highly recommend you start the journey by understanding the quality of your data and take the necessary steps to clean, standardize and dedupe it. Want to know how you can consolidate your data? Download and read this whitepaper. content.dataladder.com/Creat…
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With ProductMatch, clean product data, create taxonomies & organize information with the help of AI and ML technologies. dataladder.com/productmatch-… #dataladder #productmatch #productdata #semanticrecognition #software
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This post covers everything you need to know about the difference between data profiling and data cleansing. dataladder.com/data-profilin… #dataladder #dataquality #datacleansing #dataprofiling #softwareservices
We make #data integration easy. With over 500 integration options, all you got to do is plug your data source with a single click. Once the data is integrated into the platform, you can go ahead and profile, clean, match, enrich it all you want. #dataladder #integration #bigdata
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