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Tag: master data management

Dun & Bradstreet Report Reveals Latest Data Trends Across Organizations

With the high volume of data being generated by businesses and the sharing of common processes, every role at an organization can play a role in data management. However, there is often misalignment between enterprise fu Read more…

Maximizing AI’s Impact with Master Data Management

When data or IT leaders invest in an AI solution, one of their goals is likely to make their organization’s data more actionable and accessible. However, research suggests many employees feel there is room for improvem Read more…

Informatica Claims 80% Speedup for Data Management Tasks with LLMs

Informatica today announced CLAIRE GPT, the latest release of its AI-powered data management platform in the cloud, as well as CLAIRE Co-pilot. The company claims that, by using large language models (LLMs) and generativ Read more…

How ML-Based Data Mastering Saves Millions for Clinical Trial Business

As the country’s largest provider of clinical trial services, WCG has a sizable impact on the route to market for many drugs and medical devices. But as a conglomeration of more than 30 previously separate companies, W Read more…

3 Keys to Understanding Master Data Management for Business Leaders, CMOs, and COOs

The lifeblood of business is data, and business stakeholders need at least a basic understanding of how their IT teams use and manage that data. There are three keys to understanding master data: what it is, what can hap Read more…

Businesses Have To Prepare For A Data-Driven Future – And Context Is Everything

Organizations today face some familiar challenges to the past, but in an entirely different context. Managing customer expectations, providing excellent service, offering the right services to clients and combating fraud Read more…

Master Data Management: Three Paths to Creating a Successful, Low-Risk Program

The biggest danger to a nascent master data management (MDM) program is starting with the wrong objectives, even though they can often sound quite right. While well-intentioned, unclear business objectives--such as creat Read more…

Informatica Likes Its Chances in the Cloud

Quick: Name a company that made its name in the 1990s and 2000s by providing data integration tools for enterprise analytics running in on-prem data centers, but has since pivoted the cloud and was even named Snowflake� Read more…

How ML Helps Solve the Big Data Transform/Mastering Problem

Despite the astounding technological progress in big data analytics, we largely have yet to move past manual techniques for important tasks, such as data transformation and master data management. As data volumes grow, t Read more…

Governing Consumer Data to Improve Quality and Enforce Privacy

Consumer data is at the center of today’s digital economy. Arguably, it has become the world’s most valuable resource. Alphabet (Google’s parent company), Amazon, Apple, Facebook and Microsoft are the world’s mos Read more…

Inside JetBlue’s Silo-Busting Customer 360 Initiative

Who are you when you fly? It may sound like a silly question, but airlines find that it’s remarkably difficult to get a clear answer in real time. It's also at the center of a new silo-busting Customer 360 system that Read more…

A Bottom-Up Approach to Data Quality

Despite the amazing progress we've made in novel data processing techniques, poor data quality remains the bane of analytics. It's why data scientists spend upwards of 80% of their time preparing and cleansing data inste Read more…

Why Big Data Enhances the Need for Enterprise Information Management

Many EIM (enterprise information management) or data management programs do not live up to their potential, and the arrival of big data makes the need for enterprise information and data management even more significant. Read more…

Data Quality Trending Down? C’est La Vie

One of the biggest impediments to becoming a data-driven organization is tackling the problem of data quality. Data is often too dirty and discombobulated for use in high-end decision-making, and the increasing volume an Read more…

Getting MDM Off the Ground

Anyone who has been exposed to Master Data Management (MDM) realizes that the practice often comes with a price. While most individuals applaud the concept of implementing MDM, too often what initially appeared to be an Read more…

Battling Big Data’s Tribal Knowledge Problem

One of the practical data-related problems that people struggle with today is just finding the right piece of data hidden among various sources. If you've ever asked for a specific data set, only to be told "Ask Suzy in Read more…

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