Explore the best practices to improve data quality and maximize the value of your data assets. Data quality, the condition of an organization’s data in terms of consistency, accuracy, reliability, and ...

Allowing quality data in can lead to a better understanding of an organization. Here are 5 steps to improve your organization's data quality for unstructured data. Image: momius/Adobe Stock Finding ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. In today’s rapidly transforming world, Data has emerged as a key ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

Several factors, like consistency, accuracy, and validity, contribute to data quality. When left unchecked, businesses that utilize inconsistent, inaccurate, or invalidated data can lead to poor ...

A recurring theme in big data over the past two decades is the poor quality of data. No matter how much ink is spilled on the topic, organizations continually seem surprised that the data they want to ...

The UK can blame its bad immigration data on Hungary, one of the eight countries which joined the European Union in 2004. Unlike most existing EU countries, the UK government allowed its citizens to ...

When leaders say they want to be a data-driven organization, a key objective is empowering business people to use data, predictive models, generative AI capabilities, and data visualizations to ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

In today's financial landscape, fintechs, banks and other lenders need to make sound credit decisions in order to stay afloat. And one of the most important factors in making accurate credit decisions ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Data quality has been shaping up as a salient and increasingly critical part of the world of data science: Enterprises are sitting on growing troves of information, but it’s only useful if we can ...