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Data Quality Blog

http://blog.naveego.com

Avoid “Technology Indigestion” with Naveego

by on in Data Quality , Data Accuracy

Companies are now able to cut unnecessary infrastructure purchases by nearly 50%, by avoiding processing duplicate or incorrect data.

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Naveego Proof of Value without a shadow of a doubt

by on in Data Accuracy , News , Data Quality

In this day and age, with technology ever advancing, most corporate IT departments are constantly evaluating new products and services to accomplish common goals that we all share when it comes to information management, data quality, and master data management (MDM).

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How Data Quality Impacts Manufacturing 4.0

by on in Data Accuracy , Data Quality

How good is your data?

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How Best to Leverage Data Scientists’ Time

by on in Data Quality , Data Accuracy

Give data scientists clean data. Give them clean data to analyze, instead of having them spend top wage dollars on scrubbing and prepping data. Recent reports reveal that data scientists spend, on average, 80 percent of their time cleaning data rather than analyzing it. Not only is this preventing the highest use of wage dollars, but it is irritating and frustrating the scientists, who are walking out.

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Why Data Accuracy and Master Data Management Are Ready for the Cloud

by on in Data Quality , Data Accuracy

It’s time to take a fresh look at an old problem: “garbage in, garbage out.” Everyone knows that information is only as good as the data it was built upon, yet according to Harvard Business Review, only 3 percent of companies’ data meets basic quality standards. With data becoming the world’s most valuable resource, it raises the question, “How is this possible?” I believe the answer is that traditional approaches to data accuracy and master data management simply cannot keep up with the digital transformation that is happening all around us.

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Bringing Data Accuracy to Healthcare

by on in Data Quality , Data Accuracy

In the business of health care, patient appointments mean revenue. If there are no appointments, there is no revenue. If appointment-scheduling software goes amok and appointments are lost or are error-ridden, revenue is lost.

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