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Category Archives: Data Integration
Data security should improve as businesses begin investing in IT again
When business is slow and budgets are stretched, a company’s IT budget is often one of the first elements of its operation to be selected for cutbacks. It’s not difficult, after all, to squeeze a few more years’ life out … Continue reading
What’s In Your Programme’s Data Workstream?
It’s not uncommon for us to be invited into a client when they already have a major programme of systems and process change underway. This may consists of multiple system replacement projects, a significant implementation of ERP or CRM which … Continue reading
Good data is everyone’s job
Another subject that regularly raises its head during discussions with other data management professionals is the one of ownership. The purpose of any governance programme is to support the organisation in its goal to administer its business in the most … Continue reading
Posted in Data Integration, Data Management
Tagged data governance, data management, ownership
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Subjects, concepts and scenarios – More on business data modelling
As I’ve previously mentioned, in order to achieve the scope and breadth we need in a business data model, we produce a conceptual model of anything up to 100 concepts, grouped into fairly generic ‘subject areas’. So how do we … Continue reading
Five steps to revolution
In my earlier posts I took a broad look at theories of data governance and modelling. Now I would like to consider the practical aspects. How can organisations transform their data governance into one more suited to their needs? There … Continue reading
Defining data
In my earlier post, I took a broad look at the importance of consensus in data governance. It is equally as important when it comes to data definition. Data definition is a staple of data modelling. To many, those words … Continue reading
Posted in Data Governance, Data Integration, Data Management
Tagged data governance, information architecture
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The perfect data integration project is created by two key elements
The five issues identified in my earlier blog post, affect any project that operates in today’s environment, but they affect integration programmes more. Added to this are the renewed tensions between IT agility and responsiveness versus the control and commoditisation … Continue reading
Posted in Data Governance, Data Integration, Data Management
Tagged data governance, Data Integration, data management
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