Reduce risks of data breaches and make better decisions using more accurate information by introducing data minimization procedures into your business.

The importance of survivorship, known as the "Golden Record" in data terms, is quite often overlooked in the quest for clean and effective customer data. Yet this final step in the record matching and ...

The integrity of database systems is increasingly dependent on maintaining high data quality while enforcing robust consistency rules. Data quality encompasses the accuracy, completeness, and ...

There are many ways that data quality glitches are surfaced, including formal and informal processes. For 45% of respondents, such issues are uncovered sporadically as they upgrade databases or move ...

Kathleen Hurley is the founder of Sage Inc., a tech company that offers SMB businesses infrastructure solutions and next-gen technology. As data becomes everything to everybody, it’s crucial to ...

Data quality refers to the accuracy, completeness and consistency of the information in an enterprise database. Discover the top 10 benefits of having data quality in your organization. Image: ...

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 ...

In the eyes of many, data -- clean, clear and accurate data -- rules the universe. When data suffers from poor quality, however, both the business and its customers can suffer. And even when data is ...

Patient experience monitoring specialist Press Ganey has expanded its collaboration with Epic, focusing on nursing-related safety outcomes, integrating its National Database of Nursing Quality ...

Free or open source databases run hundreds of millions of public-facing and private applications worldwide, but how effective is this technology and how do these products compare? For answers, we ...

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, ...