Archive for the ‘MDM for customer data’ Category

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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: , , , , .
MDM Demo

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 view of the customer? 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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ROI of Data Quality: Do you really need to know?

Published by Eddy Reimerink on 19-11-2008 in Data Governance, Data Quality and MDM for customer data. 0 Comments Tags: , , .

What ROI?

It must have been around 2002, that I was discussing the Return On Investment of Data Quality solutions with one of the founders of Human Inference, Norbert Mergen. While discussing the well known benefits: less return mail, more effective campaigns, reduction of debitor risk, single customer view, … I brought another subject at the table: isn’t it strange that we really do ROI calculations on such an obvious need? Did you ever create a fence in the garden and question the ROI of a hammer? We published on this matter in dutch back in 2002 in the CRM Marketing Centre and included the hammer discussion. And now, in 2008, it is so interesting to see that many people nowadays have put the same questions, reading the blog of Jack Vinson “Stop thinking ROI, think success!” Anyway, it may not convince your management, so you will still need to do the maths, but just bringing the subject to the table may help you getting your data quality project going.

ING: Customer Information is Power

Published by Admin on 19-11-2008 in Data Quality and MDM for customer data. 1 Comment Tags: , , , , .

ING

ING is looking to make more use of its customer data for behavioural targeting. The financial services company has seen a five-fold in customer contacts in the past few years (think of Internet banking). They also have a lot of information on each customer through they payment transactions they do. If the customer would allow ING to use this information the bank could analyst the energy, phone and other bill and deliver specific offers together with other companies.

The ING PR department rushed to tone-down the debate by saying that this is only a possible scenario. A flood of data privacy concerns would be connected to initiatives like these.

The ING idea is thought provoking. How much does you bank know about your and the companies you do business with? How would they be able to use this and could it be of benefit to you?

Join the biggest conference on Data Value!

Published by hansdill on 07-11-2008 in Data Governance, Data Quality, Data Quality on Demand, Data Services and MDM for customer data. 0 Comments Tags: , .

Over 300 professionals have meanwhile registered for DataQualitySummit 2008 “Value for Data | Data for Value”. This conference will take place November 14 in the beautiful Evoluon in Eindhoven, the Netherlands. This years theme is fully aligned with the focus of the DataValueTalk blog: how to get the most out of your valuable customer data?

All conference information can be found at www.dataqualitysummit.com. Check out the bio’s and excerpts of keynote speakers such as Rob Karel, Principal Analyst at Forrester, Prof. Dr. Robert Winter from the University of St. Gallen and Ron Tolido, VP and CTO of Capgemini. A large number of customer presentations will be done as part of the breakout program.

We will continue the dialogues started during the conference here at DataValueTalk.com

There are still a few seats left, don’t let the opportunity pass and register today!