To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...

Explore the requirements of the data quality manager role, and examine the skills necessary to succeed as one. A data quality manager is responsible for assessing, managing and maintaining data ...

In the previous chapter, we described how data quality can be incorporated into the relational model. To achieve data-quality-by-design, it would be useful to incorporate data quality attributes at ...

Data quality measures a data set's condition based on factors such as accuracy, completeness, consistency, timeliness, uniqueness and validity. Measuring data quality can help organizations identify ...

One of the most important steps that data teams can take to ensure data quality is to launch a data cleansing initiative. Data cleansing refers to the process of scrubbing data to identify and correct ...

I recently witnessed a bake-off of data quality tools at one of the largest firms in the health care market. The company already invested millions in data quality tools but still suffered from serious ...

Many organizations nowadays are struggling with the quality of their data. Data quality (DQ) problems can arise in various ways. Here are common causes of bad data quality: Multiple data sources: ...

Everyone is interested in getting more data. Few consider that more data is not always better if the quality is low. Quality assurance is an enormous problem, plaguing numerous organizations. In fact, ...

NEW YORK—In a notable advance in the industry’s longstanding efforts to measure how well ads actually impact sales and the objectives of a marketing campaign, the Media Rating Council (MRC) has ...

Data quality assessments help you avoid introducing errors into your database. Learn how they work and why you need them. Data quality assessments have the same goal that data quality management ...

Competitive business strategy increasingly relies on data analytics. The core techniques of data analysis are increasingly accessible thanks to commodity Business Intelligence packages, modern open ...