Master Data Management MDM 10 SP1 Released!

With the release of Magnitude MDM 10 SP1 on October 4, 2018, we have completely rearchitected the way we manage and process data.  What does this mean to the user?  Read on…. Read more

Product information modeling concepts and techniques

Turn Information into Knowledge – Business Information Modeling Concepts and Techniques

Applying a model-driven approach to data management is key for meeting the speed to market and flexibility needs of today’s businesses.

Rather than requiring a complete model of the entire enterprise-wide set of requirements before deploying the warehouse, Magnitude’s Business Information Modeler (BIM) allows you to start small, iterate, and deploy in increments. Read more

Kalido-Heritage Products and Magnitude Software

I’ve worked with the Kalido heritage products since the late nineties. Sometimes I’m asked how being part of Magnitude has helped our products like Magnitude DIW and Magnitude MDM. One of the first examples was using the Noetix METL connectors to automatically build the semantic layer for some of the business intelligence tools. We used to use another method to do this that we had to pay extra for and didn’t fully control. If a customer asked us to change something, we had to raise the issue with the provider we used and then were at the mercy of their schedule to implement it (and in the worst case, sometimes denied the request). Fast forward to using METL, we now control the end to end process and could take advantage of other BI tools that METL supports in the future. Read more

Wide or Deep? MDM vs. PIM

Some of the most frequently asked questions we hear from our customers are:

  • Why do I need another MDM application?
  • What are the differences between MDM and PIM?
  • Do I really need an MDM and a PIM solution?

In many ways, these questions are based upon a faulty assumption, namely that product data management (PIM) and Master Data Management (MDM) are the same thing. While are closely related, but they are most certainly not the same – at least if you subscribe to our definitions of PIM and MDM.  In our view MDM has several goals: Read more

Top 10 Disconnects Encountered During Complex Integration Projects and How to Avoid Them

In our recent blog post, Connecting, Collecting and Understanding Data, we discussed the importance of semantic integration and focusing on the business view of data to help ensure key information isn’t lost during project development.

Too often, “disconnects” between IT and the business can delay or derail a master data management or data warehouse project, and/or cause significant cost overruns. The Magnitude Business Information Modeler tool (BIM) promotes semantic integration because it models the way data is consumed by the business, not the way it is stored. In this article, we will review 10 areas of disconnect these types of projects often encounter, then we will discuss how BIM, with its business information model driven approach, minimizes these disconnects and drives project development. Read more

Connecting, Collecting and Understanding Data

I read with interest a Gartner report, Modern Data Management Requires a Balance Between Collecting Data and Connecting to Data, that made the case for a bi-modal approach to connecting and collecting data. The case being made is that being able to react “at the edges” of broader data infrastructure (making decisions based on real time data displayed on a tablet, for example) requires direct connection of processes and devices, while collection of data for operations and management insight requires a central collection point and rigorous validation of data accuracy and quality. However, ALL data requires a series of integration processes that describe, organize and integrate the information. That first step, the description, includes the location, trustworthiness and meaning of the data in question. Read more

The Quest for Golden Data

It seems these days that everyone is looking for a “360-degree view” of customer, product, vendor and just about every category of information you can think of. However, getting there is not always so easy, and gets harder as organizations get larger.

Today, very few organizations have only one operational system, and many have several. It is not uncommon for us to encounter clients with 3, 4 or more ERPs, not to mention other legacy applications and data sources. As these systems grew over time they became more and more siloed, with each system focusing on a different view of data, all of which much be reconciled and combined. How do we integrate say, customer data, from 4 or 5 sources when there are no common identifiers and even things like names and addresses are inconsistent in format or spelling? Read more

Bad data, bad decisions?

The adage, ‘you get out of something what you put into it’  is topmost in my mind when it comes to how enterprises use data. If you trust the data that goes into your systems that feed critical business decisions, power to you! It’s our experience, however, that enterprises distrust the data that’s feeding their BI tools and decision-making processes. Read more

Labatt Customer Spotlight: Master Data Management Success

In this exclusive video from the MDM & Data Governance Conference in NYC with Aaron Zornes, Alice Bazdikian, Manager of MDM, Labatt Breweries of Canada offers her advice for IT leaders on master data management success

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Achieving Proactive MDM – Assessing the Scene

A common maxim in the business world goes: If a problem is found in the design phase, it may cost $1 to fix, but if it is found once the product is released and in the hands of customers, it may cost $100 – or much, much more – to fix.
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