Blog Posts: Data
“Data-driven” is such a passive phrase. Who the driver is matters a great deal. When you think about data science, the image of models, algorithms, and statistical methods comes to mind. So, why, then, when you mention data science in…
Every large company wants and needs scalable analytics. That’s always been the case. It’s also always been the case that it is a mighty struggle to achieve the scale required. As new technologies and performance enhancements become available, the volume…
Governance of data and related analytical processes isn’t something that most people get excited about. In fact, many people dread the idea of working under – or even discussing – formal governance policies. However, with some slight changes in thinking…
The most important factor in determining if a given data science project will succeed or fail in a business environment is not the quality of the results. In an ideal world, that would be the case, but unfortunately it isn’t…
Not long ago, the role of Data Scientist was what most companies wanted to discuss with me in terms of roles they needed to understand and add to their organizations. Then, the role of Data Engineer became a big topic…
Modern life has been good for those who understand and can develop analytics. From sexto soccer, data and algorithms are having an increasing impact on how important decisions are made. This has led to rapidly-growing employment for those with analytical…
While open source software has been around for decades, its adoption level and breadth of focus have exploded in recent years. Most companies now make regular use of open source software - and that usage is increasing. However, there…
Portland, Ore. (Dec. 11, 2018) – International Institute for Analytics (IIA) leaders Bill Franks, Tom Davenport and Bob Morison revealed their list of 2019 analytics predictions and priorities for data-driven enterprises. Pressing topics include ethics, unique data, artificial intelligence, security,…
In a previous blog, I discussed how Artificial Intelligence (AI) today merely has specific intelligence as opposed to generalized intelligence. This means that an AI process can appear quite intelligent within very specific bounds yet fall apart if the…