Data science, as Deepinder Dhingra recently blogged, “is essentially an intersection of math and technology skills.” Individuals with these skills have been labeled data scientists and organizations are competing to hire them. “But what organizations need,” Dhingra explained, “are individuals who, in addition to math and technology, can bring in
Over the past few weeks I have been discussing the use of graph models for analyzing interconnectivity and how entity characteristics can be inferred in relation to links and connections. While we looked at the social network domain for identifying influential individuals within a social community, there are numerous other
It is important to review any existing documents (maybe from previous projects) before re-inventing the wheel (standards and guidelines). My preference is to review existing standards with my customer and recommend any enhancements or additions that may be required for the conversion project. Consider locating the following: 1. Infrastructure guidelines - Usually
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
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
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
In our previous posts along this thread, I have suggested that graph analytics provides benefits in identifying actionable knowledge inherent in the relationships between and among entities, as opposed to typical analyses that focus on characterizing individual entities. I have to admit, that suggestion is a little bit misleading. What
I don't know about you, but I've been on multiple conversion projects where the scope changes – especially during development. It's not that the requirements were not gathered properly; the requirements changed! The business changes and people change, so the requirements can change on large conversion projects. I like to create scope documents
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,
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?
