Are Graph Databases the Shiny New Object in MDM?

I recently read a great blog post on smartdatacollective.com, From Master Data to Master Graph by Peter Perera.  I found myself agreeing with almost everything in the post, particularly once I realised he was using terminology slightly differently to how we would here at Magnitude Software (in particular I suspect he and I think of different things when we refer to “MDM Applications”).  What’s interesting is that although I’m in broad agreement with the arguments made, I’m not yet convinced with his conclusion of the post (which as I understood it is that graph database technology is the best foundation for master data management systems). Read more

Announcing Kalido 9.1 SP2 – And a New Product

We were excited today to announce the latest release of the Kalido Information Engine, version 9.1 SP2. This release has enhancements in both our data warehouse automation capabilities and our master data management capabilities. In this post I’ll recap a few of the most notable ones.
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Fear or Greed: What’s Driving Your Information Management?

Lately we’ve been spending a fair amount of time talking to banks and investment firms about their information management challenges. One industry insider recently summed it all up for me by stating that organizations in this industry are motivated by one of two things – fear or greed. It might sound a bit crass, but that’s not a bad thing and I think it reflects the reality of the market we all, not just banks and investment firms, operate in.
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Business Modeling: Who Is Your Audience?

The Kalido business model is central to our core technology.  Model-driven automation facilitated by the Kalido Information Engine manages data sourcing, business rules validation, data integration, physical storage and presentation for both master data and warehouse instances.
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Modeling to Support Agile Data Warehouses: Hyper Normalization and Hyper Generalization

I was in Las Vegas recently for The Data Warehousing Institute conference helping out with our Magnitude Software booth, and I noticed one of the classes being taught there was “Agile Data Engineering:  New Data Modeling Techniques that Readily Adapt to Constant Change.”

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Essential Thinking for BI Requirements

In a recent TDWI interview, Jonathan Geiger, executive VP of Intelligent Solutions Inc, discussed how to improve the process of requirements gathering for BI projects.  Several things immediately stood out from the interview as his suggestions were quite consistent with the methodology and technology at Kalido.

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MDM Architectural Styles: Domains Matter

In a previous blog I discussed the four primary MDM architectural styles: consolidated, registry, coexistence, and transactional. In case you missed it, read it here: MDM Architecture Styles – Do you have the right mix? Each has their individual strengths and weaknesses, but no single MDM architectural style is ideal for every application.  Read more

Data Warehouse Survey Update

It’s the end of October now which means that the autumn trade show season is drawing to a close. This year we sponsored and exhibited at the TDWI World Conference in San Diego (and in Chicago earlier in the year), and the Teradata PARTNERS Conference in Nashville. Once again we gathered survey responses in our booth, so I took a look at how things have changed, or not, since last year’s update.
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Building the Data Warehouse Semantic Layer

Kimball Group puts out some fantastic design tips, and one I especially liked in the last year was one from Joy Mundy (Design Tip #158 Making Sense of the Semantic Layer).  The arrival of this in my inbox was extremely timely because I was at the time involved in a disagreement with a BI consultant who was currently specialized in one of the new breed of BI tools.  His position was that semantic layers were unnecessary and the realm of “traditional, IT-centric reporting environments.”  If I didn’t understand that, well, I just didn’t understand the niche that particular product was fulfilling towards the goal of enabling ad-hoc end user reporting without IT involvement.  The argument started because I was inquiring about the capability of third-party solutions like Kalido of preconfiguring the semantic layer for the tool rather than having to manually configure it. Read more

How Long to Create a Data Governance Policy?

A question was recently posted on a Kalido Blog “A Brief History of Data Governance” written by Winston Chen back in 2010.  The question posed by “neha” asks: “How long does it take to come up with a strong data governance policy in the organization?” Read more