Monthly Archives: December 2008

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High Precision Matching at the heart of your Single Customer View Solution

Published by Emile van de Klok on 10-12-2008 in MDM for customer data. 0 Comments

CDIwhitepaper There are many different purposes to create a single customer view. All those different purposes also require different technical architectures. And each architectural design is capable of delivering its own value to the company.An analytical single customer view delivers value by supporting the company decision making via analytics and reporting. For instance: “how many customers do I really have in my focus market segments and what is the age distribution? “ An operational single customer view supports the primary business processes like sales and customer service.For instance an outbound call center employee can deliver additional value to the company if an integrated view on the customers shows which products and services from different business lines have already been sold to those customers and which customer support issues are still pending.

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Not every Cloud has a silver lining

Published by Winfried van Holland on 10-12-2008 in Data Governance, Data Quality, Data Quality on Demand, Data Services and Top 10 Tech Strategies 2009. 1 Comment

Cloud Computing or Cloud Services that’s the ultimate dream we have. It doesn’t bother anymore where services are running, we need a handle to it and it can start raining. Pending on which part of the world you live, you like clouds or not. For someone with lastname “van Holland” it’s almost hard to believe that he needs to trust the clouds!

Number 3 on Gartner’s list on Top technology strategies for 2009 is dealing about Cloud Computing. And a more detailed blog with the challenging title “Delivering Cloud Services: ISVs – Change or Die or both!” on that topic can be found on the blog of Daryl Plummer.

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Virtualization: It’s the data! – not the hardware

Published by Winfried van Holland on 09-12-2008 in Data Governance, Data Quality, MDM for customer data and Top 10 Tech Strategies 2009. 1 Comment Tags: , , .

The first Strategic Technology to watch according to Gartner is Virtualization. And I do like their twist in the whole virtualization debate – focus on data. While the whole world is linking the word virtualization with optimizing your hardware assets by using a virtual layer on top of your hardware. By optimizing the usage of your assets in this virtual way you can significantly reduce the total cost of ownership (ToC).

David Cearley at Gartner comes with a fascinating other angle. Basically he sees virtualization also as strategic technology to virtualize the data. And by that twist, data quality and data governance appears annoyingly in the middle of your radar screen. In order to use this strategy for your operational excellence, to eliminate the number of redundant data on your real storage devices, and make a virtual layer between your applications and this virtual data storage, you need to be sure that all your applications can work seamlessly with that virtual data.

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Top 10 Technical Strategies for 2009

Published by Winfried van Holland on 09-12-2008 in Data Governance, Data Services, MDM for customer data and Top 10 Tech Strategies 2009. 1 Comment Tags: , .

Recently – close your eyes and imagine the meaning of recently in this climate of economic crisis – David Cearley from Gartner published a blog on the most important technical strategies for 2009. In a couple of blogs I want to pick some of them and emphasize my view on them in relation to data value.

In general I agree with the top 10 of technological strategies, be there some slight personal priority adaptations, but let’s focus on that in later blogs. The missing point is in my opinion the lack of emphasis on risk mitigation, and I do realize that things changed since October 2008. Which technologies can we adopt to avoid that we provide services, products, at the end money to the wrong contacts, or that we are sure to deliver it to the right contacts. The technology strategy of Master Data Management, Know your customer, Single View of X, or how we call it, will need our attention in 2009!

The added value of an integrated customer view

Published by Emile van de Klok on 08-12-2008 in MDM for customer data. 0 Comments Tags: , , , , .
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The added value of an integrated customer view depends strongly on the quality of that integrated customer view. Every organization that is seriously planning to create a single customer view should ask itself the following question: “What determines the quality of my customer view and so the accompanying level of added value?”

Prior to answering this question we need to take one step back. Why does not every organization have a single customer view? The cause lies in the fact that many organizations have their customer data spread across multiple systems all facilitating separate business processes. Additionally customer data is often highly polluted, fragmented and incomplete.

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