Historically, a renegade was a Christian person who decided to become Muslim, nowadays the term is much more loosely used; a renegade is anyone who betrays laws or expectations to do as they please. This is a characteristic that can be found within most, if not all, organisations where by a user of data, perhaps unknowingly, cuts, pastes and changes data to make it suitable for their own purpose. We’ve all seen it, the renegade who chooses to perform data analysis on a spreadsheet that has been replicated, manipulated and buried on a personal drive to avoid a long wait on an IT solution, or the search on a shared drive for a particular document, to find multiple copies stored in various locations.
2012
Happy New Year!

As it’s a new year and a fresh start, I thought I’d jump on the bandwagon and volunteer my thoughts for the year ahead. Before you get too excited, I’m not proposing the next solar maximum, nor am I following the Mayan prediction of the end of the world as we know it on December 21st, 2012!
2011 was a pretty good year for me; I continued to learn more about Data Governance, got my blog up and running, travelled, embraced the Data Governance online community , my boyfriend learned to embrace my Data Governance enthusiasm, and I extended my professional network. So how will 2012 compare? Besides an increase in TLA’s and business jargon there are a few more obvious predictions for 2012… Continue reading
Can Too Many Cooks Spoil the Data Quality Broth?
There are plenty of organisations out there where people within the business take little, if any, responsibility for the quality of data they manage. There are a few reasons this can exist; lack of awareness of the downstream impacts of poor data quality, ’I'm only one of thousands amending this data’ mentality or ‘everyone knows the data is rubbish anyway’ attitude – to name a few!
Most of the time working with people within the business is an enjoyable process and a good exchange of knowledge; you have an opportunity to learn about their business area and in turn promote data quality management. However, in most organisations there is a risk of uncovering people who don’t question where data originates, what the impact poor data quality could have, or what data is used for. Even more surprising than this is that their managers may have no desire to find out either.
In an organisation where you have multiple users of a system, across multiple business areas, inputting, amending and deleting data without questioning, how can we stop too many cooks spoiling the proverbial broth? Continue reading
Survival of the Fittest – Data Governance Evolution
I’ve finally got round to writing another post and I’d like to begin by thanking Jim Harris for his recent post “Data Governance and the Adjacent Possible“.
In this post, Jim discusses the evolution of Data Governance as a continual exploration of opportunities, slowly building a full Data Governance program.
This got me thinking… Although I believe in having a Governance Maturity Model, I also see Data Governance as an evolutionary journey rather than a destination. So how can we promote and follow a Governance Maturity Model, with goals and ‘levels’, and at the same time enter a cycle of continual improvement and longevity?
My First Blog Post…
I’ve followed a few data quality bloggers over the last few years and have enjoyed catching up on their thoughts on everything data related. I recently decided to create my own site to jot down my thoughts in relation to Data Quality and Data Management practices. I am new to blogging, website creation and even Twitter (gasp!) so naturally my first step was to go straight to Google and see what information I could find.
The advice is straight forward and not a world away from the requirements of high-quality data! Continue reading