Customer Data Platform (CDP) vs Master Data Management (MDM)

Melissa AU Team | Customer Data Platform, Master Data Management | , , , , ,

There’s no doubt about it – the key to retaining customers isn’t about fighting price wars, it’s offering them the best experience possible. Customers like being wooed and to do this, the right way, businesses need to understand their customers. This is why customer data is so important. You need to know what is in your customer’s shopping cart to send them reminder emails, you need to understand their demographic profile to personalize their landing page, and so on.… Read More

MDM – Secure, Fast and Hassle-Free with Unison

Author | Data Quality, MDM, Unison | , , , , , , , , ,

Automated data quality routines, lightning fast processing (50 million records per hour), and no programming expertise required for master data management? Unison has you covered. It unifies all of Melissa’s data cleansing technologies through a straightforward, modern and powerful user interface without sacrificing speed or security. Explore what makes Unison so unique from other platforms and how it was designed with data stewards in mind.… Read More

Managing Unique Customer Identities with Master Entity Indexes

Blog Administrator | Address Quality, Analyzing Data, Analyzing Data Quality, Customer Identities, Data Integration, Data Management, Data Matching, Data Quality, MDM | , , , , , ,

By David Loshin

In the past few entries in this series we have basically been looking at an approach to understanding customer behavior at particular contextual interactions that are informed by information pulled from customer profiles.

But if the focal point is the knowledge from the profile that influences behavior, you must be able to recognize the individual, rapidly access that individual’s profile, and then feed the data from the profile into the right analytical models that can help increase value.… Read More

Standardizing Classifications

Blog Administrator | Address Quality, Analyzing Data, Analyzing Data Quality, Data Governance, Data Management, Data Quality | , , , , ,

By David Loshin

In the most recent post, we posed a straightforward problem: if we have a reporting or analytical objective that depends on using a dimension for classification, what happens when two different value domains are presumed to map to the same conceptual domain?

More concretely, the example we used was mapping individuals to their car
purchase preferences, but different applications used different car
classifications that did not share the same number of values and the value sets
did not directly map in a one-to-one manner.… Read More