You have kicked off a data quality initiative and had some great results. Your next goal is to build on this success and grow the influence of your team around the organisation. To achieve this, you need to get creative and put on your marketing hat. Here are some ideas
Author
I have recently qualified as a volunteer first responder to assist ambulance crews in my rural community, which is an interesting break from the world of data. But not a break entirely. During my training, it occurred to me that we’re simply not equipping many data quality practitioners with the
Most organisations kick off their data quality journey with some form of localised initiative. Perhaps a data migration needs a data quality cleanup, or a customer-facing service is plagued with legacy dirty data. A time-boxed initiative is delivered and traction develops. More projects ensue – and slowly, ever so slowly,
Every business, regardless of size and sector, is subjected to continual change. Business models are constantly evolving and adapting as consumers react to new technologies, laws and trends. Take a look at Amazon as an example. It has adapted its business model in an agile fashion by offering streaming of
Data migrations can be challenging initiatives at the best of times, but when they start to go wrong they can be devilishly difficult to turn around and keep afloat. In this article I share three simple ideas that may help you gain control of the project and bring that go-live date
When extolling the virtues of data quality, particularly to a leadership community, it pays to focus not just on the corporate gains but also the personal benefits that better quality data can offer. Improving data quality can often be a thankless task. You make changes to a resource that many
One of the key principles of W.Edwards Deming in his drive for greater quality in the US manufacturing industry was: “Cease dependence on inspection to achieve quality. Eliminate the need for massive inspection by building quality into the product in the first place.” Quality purists will repeatedly quote this principle
Data migration projects are really a lesson in gap management. We are effectively building a complex web of technology and understanding to bridge the gulf between the legacy world and the target world. Most of the gap management in data migration revolves around solving data quality and mapping issues. We
A data quality culture is one of those elusive outcomes that can so often make or break your long-term data quality vision. Whilst many project leaders are capable of fostering collaboration and communication in their immediate team, some leaders find it hard to build on this to grow greater data
Business intelligence is now accessible to companies of all sizes and sectors. I run a small business and we have incredible reporting and analytical capabilities that allow us to model every aspect of our operation. We can create dashboards of website traffic, article distribution, revenue performance, social media analytics and