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Stories are how people make sense of the world, so it follows that they’d also be our way of making sense of data. As much as technology can facilitate data storytelling, it cannot (yet) perform the pivotal step of placing data into the human context. That’s our job, and we’re really good at it. We’re …read more
I believe a lot in the power and benefits of communication. The Project Management Institute estimates that “20% of unsuccessful projects are due to ineffective communications”*. From my own experience and those I’ve interacted with so far, I can also draw the conclusion that communication can make or break any program or initiative. This also …read more
In the data quality line of work it is very rewarding to get to the root cause of the issue and fixing it, along with the data. More often than not, there are long lists of data quality issues to resolve, but how do you quickly prioritize what you will tackle first? This can be a …read more
From my interactions with organizations that have mature data governance programs and those still in the planning or early adoption stage, I found there are some common drivers for starting a data governance program and here they are. Which one is yours? Feel free to fill out the poll below. What is your driver for …read more
I’m very lucky to always work with wonderful teams and colleagues. If there is anything that we can do to make everyone’s work easier and effective, we all jump at that opportunity. That’s also the case with helping and empowering Report Developers, or Business Intelligence Developers, Programmer Analyst, whatever your synonym is for their title …read more
One of my favourite quality stories is when, just as W. Edwards Deming was about to begin his 4-day seminar on improving quality at a large enterprise, one of the executives scheduled to take the course came up to Deming and said that he was so busy that week that he could not possibly spend …read more
Due to popular demand, I’m continuing the series of covering existing data governance maturity models by adding an overview of Open Universiteit Nederland Data Governance Maturity Model. For a recap of those covered so far, you can find each one here: Stanford Data Governance Maturity Model IBM Data Governance Maturity Model DataFlux Data Governance Maturity …read more
Data profiling brings a lot of benefits and provides a first step into better understanding your data structure and quality. There are a few dedicated tools, but they have associated costs. What if I told you that you might already have access to a data profiling solution? Well, if you are using Excel 2010 and …read more
Reports are developed to address a business need, to provide information and guidance to its users, to support decision making and so on. The business creates new requirements, new data sets become available, the overall demand for information grows and so do the number of reports. Very often I see tens, if not hundreds of …read more
The importance of identifying and addressing the root cause of a data quality issue should never be overlooked. In this series of articles I will cover the most important techniques which help you uncover the root cause. This week will focus on the 5 whys, root cause analysis technique. Definition Iterative interrogative technique to determine the …read more
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