Data Preparation for Analytics
As users seek to go beyond canned reports and spreadsheets to employ sophisticated visual analytics to drive decisions and actions, traditional processes for preparing data
As users seek to go beyond canned reports and spreadsheets to employ sophisticated visual analytics to drive decisions and actions, traditional processes for preparing data
When it comes to data quality management, few things cause as much grief as having to download data before you can clean it. The answer
Address verification is vital for any business. Inaccurate addresses can be a costly problem for your organization and not just because they prevent prompt, accurate
In a competitive world with seemingly endless choices and price-wars, there’s one thing that can truly set you aside from the competition. Customer Experience. In
How much is bad data quality costing you? Like many modern businesses, you probably rely heavily on your data. But unless your data is of
By Jack Bradford, Senior Product Specialist Data preparation and matching is a growing profession that requires an in-depth analysis of the scope of a project,
During the past year, the National Health Service (NHS) in the United Kingdom failed terribly when attempting to roll out aggressive data management strategies. Their
Healthcare has tracked along with its business counterparts through most of the digital revolution. However, they have been slow to adapt and implement digital strategies
Linkage of records between electronic health databases has become increasingly important to both the providers of healthcare and researchers seeking cures to complex diseases. Electronic
Changing education over the past two decades has been a priority in the United States, but the efforts have been limited to standardized testing. The
With the days of cursive handwriting and paper textbooks becoming a thing of the past, we are experiencing new curriculum and learning methods thanks to
In today’s data driven world, it is often necessary to link people from one database to another. The challenge is especially important in the healthcare
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.