Examining the relationship between MDM and customer intelligence
.@philsimon on whether organizations need MDM to gather valuable insights about their customers.
Tag: master data management
MDM intersections, Part 2: Data governance
Master data management (MDM) is distinct from other data management disciplines due to its primary focus on giving the enterprise a single view of the master data that represents key business entities, such as parties, products, locations and assets. MDM achieves this by standardizing, matching and consolidating common data elements across traditional and big
The next wave of MDM: Integrating structured and unstructured data
.@philsimon on what's next for MDM applications.
MDM intersections, Part 1: Data quality
Master data management (MDM) is distinct from other data management disciplines due to its primary focus on giving the enterprise a single view of the master data that represents key business entities, such as parties, products, locations and assets. MDM achieves this by standardizing, matching and consolidating common data elements across traditional and big
In search of the Holy Grail: Sorry Hadoop fans, only MDM delivers single view of customer
Single view of customer. It's a noble goal, not unlike the search for the Holy Grail – fraught with peril as you progress down the path of your data journey. If you're a hotelier, it can improve your customer's experience by providing the information from the casinos and the spa at check-in to better meet your
Shifting ownership to the source – The future of MDM?
Most companies are battling with master data challenges whether they realise it or not. When you're consolidating financials from multiple billing systems, you're doing MDM. When you're migrating legacy systems to a new target environment, you're doing MDM. When you're trying to perform root-cause analysis across multiple systems for a
Does MDM need to be part of your data strategy?
.@philsimon on the role of MDM. TLDR: It depends.
Dovetail process flow and master data management
In my last post, I discussed the issue of temporal inconsistency for master data, when the records in the master repository are inconsistent with the source systems as a result of a time-based absence of synchronization. Periodic master data updates that pull data from systems without considering alignment with in-process
What's the relationship between big data and MDM?
.@philsimon on the collision between the two.
Temporal consistency for master data
Master data management (MDM) provides methods for unifying data about important entities (such as “customer” or “product”) that are managed within independent systems. In most cases, there is some kind of customer data integration requirement for downstream reporting, and analysis for some specific business objective – such as customer profiling for