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 ...

CAMBRIDGE, Mass.--(BUSINESS WIRE)--Data is an invaluable resource that informs nearly every choice we make, but poor data quality can have devastating effects on the decision-making process and ...

With the explosion of big data, where a staggering amount of information is being generated from numerous sources at an unprecedented rate, businesses need accurate and reliable data more than ever ...

In today's ever-evolving landscape of supply chain management, executives and leaders are facing an intricate web of challenges. To navigate these complexities, advanced analytics and AI have emerged ...

Data quality assessments help you avoid introducing errors into your database. Learn how they work and why you need them. Image: Sikov/Adobe Stock Data quality assessments have the same goal that data ...

Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data. Image: freshidea/Adobe Stock Data is at the foundation of ...

Data managers, administrators, engineers, and analysts know more than anyone what kind of data is available to enterprises seeking to compete in the AI and analytics age. However, their perceptions of ...

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

When you're working with a spreadsheet, duplicate data can sometimes make its way in and cause all sorts of problems. In this how-to, we demonstrate two methods of using Microsoft Excel for ...