Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. Today’s consumers have high expectations for brands, including ...

Data quality is an essential aspect of any successful enterprise data management strategy. In today’s business environment, it is essential to maintain a high standard of data quality to support ...

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 ...

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 ...

Market intelligence is all about valuable data that is readily available to businesses. That data helps evaluate your market position, understand your audience, identify risks and growth opportunities ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Data quality — the practice of testing and ensuring that the data and data sets you are using are what you expect them to be — has become a key component in the world of data science. Data may be the ...

Marketing’s potential to deliver results relies on data quality, but data accuracy, consistency, and validity continue to be a challenge for many organizations. Inconsistent data quality is holding ...

NEW YORK--(BUSINESS WIRE)--New research shows that marketers rely on high-quality data for fueling successful marketing initiatives, but they struggle to achieve it. High-quality data empowers ...