We live in a Big Data world where everything is being quantified. As a result, businesses are trying to make sense of their ever-expanding, diverse, streaming data sources to drive their business forward. If your competitors have access to the same type of data (CRM, ERP, weather, etc.) that you do, how can you keep ahead […]
Tag Archives | Scientific Method
Data Scientists and the Practice of Data Science
I was recently involved in a couple of panel discussions on what it means to be a data scientist and to practice data science. These discussions/debates took place at IBM Insight in Las Vegas in Late October. I attended the event as IBM’s guest. The panels, moderated by Brian Fanzo, included me and these data experts: Andrew […]
Getting Insights Using Data Science Skills and the Scientific Method
IBM is hosting their IBM Insight event next week in Las Vegas. The event will, no doubt, help companies understand how to use analytics to get insight from their data. I will be attending the event as their guest and will be sharing what I learn via social media. As a first step in sharing […]
The One Hidden Skill You Need to Unlock the Value of Your Data
An examination of data scientist skills reveals an often overlooked skill necessary to uncover insights from data: The Scientific Method Data scientists are a hot commodity in today’s data-abundant world. Business leaders are relying on data scientists to improve how they acquire data, determine its value, analyze it and build algorithms for the ultimate purpose of […]
In Data We Trust
The use of data in driving business decisions is a competitive imperative in today’s business world, improving how companies market to, sell to, and service their customers. Yet IBM found that 1 in 3 business leaders do not trust the information they use to make decisions. When business leaders don’t believe their data, they likely are not going to […]
In the Absence of Data, Everyone is Right
I wrote a post last week that compared two ways to make decisions/predictions: 1) opinion-driven and 2) data-driven. I am a big believer of using data to help make decisions/predictions. Many pundits/analysts made predictions about who would win the US presidential elections. Now that the elections are over, we can compare the success rate for […]