As Rebecca Reading, a tax professional at Lewis Golden, noted during a recent industry webinar, “I’d always thought of fast extraction of source data into Alphatax as the holy grail of tax compliance.

The solution cuts away at inefficiencies and time-consuming manual data entry by credentialing staff and can cut overhead credentialing costs for organizations by 75%, according to the company.

A recent influx of digital technology has unlocked tremendous potential for clinical trials. For an industry that has traditionally relied on patients’ paper intake forms and manual data entry ...

Servco Pacific uses robotic process automation, or RPA, to perform repetitive data-entry tasks for dealership employees, which reduces manual errors and frees them to perform higher-value tasks ...

Data quality tools cannot fix data that is completely broken; they cannot cover the shortcomings of an organization’s data framework. SEE: How do I become a data steward? (TechRepublic) ...

Founded in Prague, Czeck Republic in 2017 by PhD students Tomas Gogar, Petr Baudis and Tomas Tunys, Rossum is an Intelligent Document Processing Platform that hopes to free office work from the ...

A few years ago, IBM reported that businesses lost $3 trillion dollars per year due to bad data. Today, Gartner estimates $12.9 million to be the yearly cost of poor-quality data. Funds get wasted ...

Manual data entry is a time consuming and expensive process for businesses that do not count the time and effort necessary to correct errors. This leads to tremendous use of resources for the ...

While enterprise data may be the "new oil," dirty data can be a major hindrance. To counter that, organizations need to clean their data before feeding to AI.

Nearly half of construction managers still capture critical jobsite quality data manually. One-third still use paper and pen to track data. These are some of the key findings from a survey of more ...