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 ...

Amazon today announced it has extended its program for data cleansing, known as Glue, with a visual user interface that automates some steps necessary to prepare data, to simplify the task for ...

"Dirty data"—data that has issues such as being incorrect or incomplete—can slow down operations, waste resources, and drive bad decisions. The solution to the problem is data cleansing, which is the ...

Companies will never truly eliminate data quality inconsistencies. But the goal is to get the volume to a manageable and sustainable level, acceptable to the data governance team. “The largest ...

The hype around big data is deafening, and for valid reason. When it’s used to augment customer information, big data acts as a force multiplier, arming organizations with deep customer intelligence.

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 ...

AI Agents function less like tools and more like self-directed teammates, orchestrating, analyzing and acting across ...

Florida Crystals Corporation (FCC) has selected Lemongrass and Syniti, part of Capgemini, as strategic partners to deliver a ...

Informatica from Salesforce, a leader in enterprise AI-powered cloud data management, today announced that Gartner, Inc. has once again recognized the company as a Leader in the 2025 Gartner® Magic ...

Australia’s announcement of a national AI capability plan and its emphasis on data is a welcome and important step. Policymakers have moved the conversation beyond raw compute and rightly signalled ...