A Little Data Scrubbing Leads to Big Results
A recent article in BtoB Magazine highlights the advantages of data cleansing your email marketing list. Music for All, an Indianapolis-based company that runs school marching band functions and festivals, recently underwent an overhaul of its email database.
And the results are outstanding! From a list of over 120,000 subscribers, the company cut it nearly in half to 54,000. Using a combination of data cleansing, segmentation, and an archiving system, the updated list became an effective marketing tool that led to an increased email click-through rate of 60%! It also led to a 28% increase in the forwarding rate as well.
Any size company can benefit from a smart data cleaner. With Data Ladder’s suite of services, we can help you identify your data debacles. From our extensive library of name fields (from suffixes to nicknames) to our best in class duplicate record finder, we can help sweep up any confusion. Contact our sales team for more information.
Dirty Data Debacle a $3.1 Trillion Problem
With news about the nation’s economy broadcast in American living rooms every day, there seems to be one piece of the financial puzzle that doesn’t get much airtime. According to data and integration expert Hollis Tibbetts, principal and managing director at Artemis Ventures LLC, bad data is a $3.1 trillion problem for the U.S. economy.
According to Tibbetts, it is a prevalent problem that goes largely unnoticed. “In survey after survey, about half of IT executives consistently agree that data quality and data consistency is one of the biggest roadblocks to them getting full value from their data, yet consistently organizations fail to address this issue,” he said.
Easy to implement solutions do exist that can improve an organization’s overall data quality profile. Data Ladder offers a suite of easy to use, affordable solutions for all sizes of business, from Fortune 500 corporations to the small business.
Contact our sales team for more information.
Why Data Quality and Data Cleansing Projects Fail
Data Quality and Cleansing initiatives are essential to improving overall operational and IT effectiveness. However many efforts do not get off the ground and get stalled before they really start. Read more
A Healthcare and Education Case Study
Hello Friends,
Please see the attached case study about how West Virginia University used DataMatch to save thousands of work hours and improve patient care.
Case Study
Title-Tracking Patient Records Across Multiple Databases
Industry: Health Care, Education
Situation: West Virginia University was tasked with assessing the long term impacts of certain medical conditions over time. Specifically if previous conditions affected long term health and patient care. The difficulty was that the databases records identifying the medical condition were in a separate system from the current health records provided by the state. Linking these records manually, which number in the hundreds of thousands, was a very time consuming process and threatened to derail research activities.
Solution: Using Datamatch, Data Ladder’s flagship product for data cleansing, WVU was able to clean records from multiple system and create a unified view of the patient over time. With the best in class data cleansing and matching routines, along with the included customized training, WVU was able to see unified results quickly and easily.
Results: With a unified view research was able to resume at a much quicker and more efficient pace. The cleansed data has been used and referenced in several medical journals, with the hope of improving patient care effectively and efficiently. With this success WVU is expanding the use of DataMatch across several other functions within the university.
