The streaming data paradigm shift for legacy systems
David Loshin provides an alternate take on streaming data in the context of legacy systems.
Tag: master data management
Challenges in identity resolution on a big data platform
David Loshin says simple approaches to identity resolution may not scale on a big data platform as data volumes increase.
The importance of data quality to MDM
Jim Harris explains why data quality is such a fundamental aspect of master data management.
Is big data just a source? Or is Hadoop ready for MDM?
Joyce Norris-Montanari poses the question: Is Hadoop/big data technology actually ready for MDM?
Operational vs. analytical MDM
.@philsimon chimes in on some oft-overlooked differences.
How is MDM different from data warehousing?
Do you know how master data management and data warehouses are different? Jim Harris explains.
Master data usability: Understanding the issues in syndicating master data
David Loshin explains 4 struggles of syndicating master data across the enterprise.
MDM and data governance: Do we need to get bogged down in definitions?
Dylan Jones says spend time setting a vision of how to transform your data landscape – not debating definitions.
Data Management für Analytics – Governance schafft Vertrauen
Kürzlich habe ich mich mit meinem Kollegen Michael Herrmann darüber unterhalten, wie Big Data die Anforderungen an Datenmanagement und vor allem an die Datenqualität verändert – und wie die IT, der Data Scientist und die Fachabteilung besser zusammenarbeiten können. Heute geht es darum, wie Daten nachvollziehbar und transparent gemacht werden
Master data management: Why the unique identifier is critical for fighting fraud
David Loshin explains why MDM is such a valuable tool in helping to detect fraud.
Managing information policy compliance to prevent fraud
Health care fraud prevention is a sticky topic. David Loshin discusses what's needed to balance prompt claims payments with fraud prevention efforts.
Importance of metadata – Bridging the gap (Part 4: analytical metadata usage)
In the previous three blogs in this series, we talked about what metadata can be available from source systems, transformation and movement, and operational usage. For this final blog in the series, I want to discuss the analytical usage of metadata. Let’s set up the scenario. Let's imagine I'm a
Linking identifiers for improved analytics
In my last post we started looking at the issue of identifier proliferation, in which different business applications assigned their own unique identifiers to data representing the same entities. Even master data management (MDM) applications are not immune to this issue, particularly because of the inherent semantics associated with the
Identity, identification and the proliferation of identifiers
I was surprised to learn recently that despite the reams of laws and policies directing the protection of personally identifiable information (PII) across industries and government agencies, more than 50 million Medicare beneficiaries were issued cards with a Medicare Beneficiary Number that's based on their Social Security Number (SSN). That's
Is it wise to crowdsource data governance?
@philsimon says that it's downright silly to ignore the benefits of thinking about data-related issues in different and unexpected ways.
The “tarnished record” – Alternatives to gold for fraud analytics
We often talk about full customer data visibility and the need for a “golden record” that provides a 360-degree view of the customer to enhance our customer-facing processes. The rationale is that by accumulating all the data about a customer (or, for that matter, any entity of interest) from multiple sources, you
What does security mean in the world of big data?
.@philsimon says that even seemingly useless information can be useful under the right circumstances.
Hadoop and MDM – Who is the master?
Today, I was in a conversation about using Hadoop (a big data platform) for master data management (MDM). I still find it amazing when we have the discussion of what systems feed another system. Many of our friends have spent years creating MDM for customer, product, etc. with success. I'm a
MDM and Hadoop – Part 1
How many companies are using Hadoop as part of their master data management initiative? Come on, raise your hands! Well, maybe a better question is this: How many companies are using Hadoop for enterprise data? From what I have seen, Hadoop is coming along quite nicely. However, it may not be the
MDM is a journey, not a project
Fellow Roundtable writer David Loshin has commented in the past that: "MDM is popular because it is presented as a cure-all solution to all data problems in the organization." Many people see master data management (MDM) as the silver bullet to all of their business and data woes. But in
Examining the relationship between MDM and customer intelligence
.@philsimon on whether organizations need MDM to gather valuable insights about their customers.
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.