In a recent conversation with one of our customers, my team uncovered a troubling reality: Poor data quality wasn’t just impacting their bottom line but also causing friction between departments. In one instance, they explained how their marketing team could not run a campaign on time because they had to wait for the IT team […]
Advances in Master Data Management
The purpose of a Master Data Management program is to organize an organizations most important data assets, allowing them to be used efficiently and creatively. The choice of organizational styles determines how the data performs during an analysis, when building new relationships, and while making decisions that increase profits. There are key factors that should […]
Data Quality is Not a Goal — It’s a Mindset!
Click to learn more about author Farah Kim. Although companies are insight-starved and are investing huge amounts of money in setting up data collection and storage infrastructure (tales of data lakes!), they are unable to formulate a Data Quality plan. In my experience working with enterprise-level clients, the reason behind this is simple — Data […]
Why Data Quality is Not an IT but a Business Problem
Click to learn more about author Farah Kim. In a particularly intense weekly meeting, team leads from sales, marketing, IT, and finance were debating on the poor quality of data captured in the company’s new CRM system. Almost 40% of the data captured was defective – fake email addresses, missing information, invalid addresses, and so […]
Getting Ahead of Data Matching: Building the Right Strategies for Today and Tomorrow
Click to learn more about author Harald Smith. Every organization understands the importance of matching and connecting the same entities together (and the role of data quality capabilities to do so), but too often they take a limited view toward it, building data matching processes to address the situation in the moment but not taking […]
Connecting the Dots: Strategies for Matching Big Data
Click to learn more about author Harald Smith. Entity resolution, also known as data matching or identity resolution, is central to our ability to connect data about any given entity, whether that is a person, place, or thing (e.g. asset, part, product). For most of us, that process of connecting data together simply happens, maybe […]
Case Study: Unilog Leverages Data Preparation to Monetize Upstream Data
“Paxata has facilitated the monetization of our data,” said Noah Kays, Director of Content Subscriptions, at Unilog. Unilog is a global technology company specializing in e-commerce solutions and content for business-to-business distributors in the industrial products (electrical, plumbing, etc.) market. The solution includes Product Information Management system (PIM), a Content Management System (CMS), helping distributors […]