Tag: data quality

Dylan Jones 0
Do you have a data quality alliance strategy?

Whether you’re embarking on a data quality mission for the first time or your presence is well known, it never hurts to have allies throughout your organization. By finding and gaining these supporters, you can gain influence and achieve your data quality goals. It may be difficult due to the

Dylan Jones 0
Getting clinical with data quality analysis

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

Phil Simon 0
The error paradox

How are sales going? It's a frequent query that every author gets from time to time. Lamentably, though, that four-word question is difficult if not impossible to answer with any precision. If this seems like a paradox, you're absolutely right. Back in the Mad Men days, real-time sales numbers for

Jim Harris 0
The data that supported the decision

Data-driven journalism has driven some of my recent posts. I blogged about turning anecdote into data and how being data-driven means being question-driven. The latter noted the similarity between interviewing people and interviewing data. In this post I want to examine interviewing people about data, especially the data used by people to drive

Dylan Jones 0
5 tips for taking data quality to the enterprise

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,

Phil Simon 0
Tips on becoming a Visual Organization

There’s little doubt that basic, static pie charts and even infographics can tell a story. But, as I write in my new book, Visual Organizations understand that contemporary dataviz tools are just plain better. They allow for a high degree of interactivity, motion and animation. So, what does this mean?

Jim Harris 2
Being data-driven means being question-driven

At the Journalism Interactive 2014 conference, Derek Willis spoke about interviewing data, his advice for becoming a data-driven journalist. “The bulk of the skills involved in interviewing people and interviewing data are actually pretty similar,” Willis explained. “We want to get to know it a little bit. We want to figure

Dylan Jones 0
Poor data quality? Check for model gaps

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

Jim Harris 0
Data quality and Paleolithic Rhythm

Early in the terrific book What Technology Wants by Kevin Kelly, he discusses the concept of Paleolithic Rhythm, which describes the short bursts of intense effort followed by long periods of rest employed by the hunter-gatherer tribes of early humans during the Paleolithic Era. Paleolithic Rhythm is also an apt analogy for how many

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