In my previous post, with help from Alex Bellos, I explained that measuring is intrinsically fuzzy. A comment by Dave Chamberlain raised the point that there are times when a measurement is absolute on an individual datum by datum basis or, as I prefer to phrase it, accurate relative to the time
In a number of recent posts, we have discussed the issues that surround big data, largely looking at the need to access data from a number of sources of variant structure and format. From the perspective of the analytical environment, this has not only complicated the population of data warehouses
To allow file uploads into your business intelligence environment or not to allow file uploads – what is your decision? I have a tendency to look at this issue like this: Someone on the business side needs this data – and probably needs to looking at existing data another way. For example,
Data lineage means many things to many people but it essentially refers to provenance - how do you prove where your data comes from?
In his book Here’s Looking at Euclid, Alex Bellos recounted an experiment he performed weighing the baguettes he purchased on a daily basis from his local baker. The first baguette weighed 391 grams. The second one weighed 398 grams, the third 399 grams, the fourth 403 grams, and the fifth
Last time we began to look at the opportunity for integrating a newly developed master data repository with existing business applications supported by a data warehouse. That meant understanding the requirements for integration and verifying that those requirements are met.
I have encountered quite a few companies that are now anticipating the move of as many of their source systems as possible into SAP. I think this is probably a good decision for quite a few of these organizations. However, in doing so, we must keep or create data management
To truly solve master data management (MDM) you need to understand how your organisation arrived at a situation where your business critical data is ‘mastered’ across multiple systems. There is a danger of implementing MDM technology as yet another stop-gap solution without attempting to address the root-cause issues of master
.@philsimon on how Big Data resembles more traditional technologies.
