It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...
Melissa Data, a provider of contact data quality and integration solutions, has announced the availability of Express Entry, an address auto-completion tool designed to eliminate bad data at the ...
In today’s data-driven economy, reliability is the true differentiator. It’s no longer enough to deliver data; we must ...
LONDON--(BUSINESS WIRE)--Technavio market research analysts forecast the global data quality tools market to grow at a CAGR of close to 17% during the forecast period, according to their latest report ...
The marketplace depicted in this year's "Magic Quadrant for Data Quality Tools" from industry research firm Gartner presents little upheaval from last year's results -- the same five companies are ...
Additionally, the firm wrote in its research report, poor data quality and misaligned tools limit agility. And, while nearly ...
Data is a critical resource. Its insights drive operational and strategic decisions not only for big-data behemoths such as Google, Facebook and Amazon, but also a range of industries from jet engine ...
Data quality is one of the fastest growing segments in the technology space, according to Experian’s most recent Data Quality Benchmark Report. Experian Data Quality surveyed more than 1,200 ...
Quality data is the cornerstone of good business decisions. To ensure your data is high quality, it must first be measured. Organizations struggle to maintain good data quality, especially as ...
Data quality is a top priority for financial firms and it has only grown in importance because of regulation and the need for better operational efficiency. Data quality is hard to measure in the ...
Experian Data Quality, a provider of data quality software and services, has released self-service bulk email validation on its Web site. This is the first in a new line of self-service ...
Tools that clean or correct data by getting rid of typos, formatting errors, and unnecessary and expendable data are known as data quality tools. These tools help organizations implement rules, ...
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