Data Integrity vs. Data Quality: How Are They Different?
Data can be your organization’s most valuable asset, but only if it’s data you can trust. When companies work with data that is untrustworthy for any reason, it can result in incorrect...
Data can be your organization’s most valuable asset, but only if it’s data you can trust. When companies work with data that is untrustworthy for any reason, it can result in incorrect...
The concept of streaming data was born of necessity. Today’s hypercompetitive global business environment calls for agility and intelligence. More than ever, advanced analytics, ML, and AI are...
The real estate industry has experienced massive innovation and transformation over the past two decades, most of which has been driven by the internet and associated communications technologies....
Achieving high availability for data is tough. The best-laid data infrastructures often go awry for a variety of reasons, and they bring data availability down with them. What are those things that...
How much does big data cost? There are two ways to answer that question: The simplistic way, which looks only at surface-level big data costs, and the comprehensive way, which factors in the...
How big a problem is money laundering? Experts estimate that every year, criminal enterprises launder between $500 billion and $1 trillion through legitimate businesses. Any economic impact that...
Data integrity is a foundational requirement for virtually any business to be successful in today’s world. Data integrity is about trust and confidence. Many people often conflate data quality...
With Google Street View, we can zoom in for a look at virtually any property in the U.S. and in many countries across the globe. Actually seeing the image of a property, its structures, and its...
Developing a data quality framework is reminiscent of herding cats. You have to bring together disparate groups to establish a set of standards to maintain data quality, when these groups don’t...