by Angela Guess Gil Press reports in Forbes, “A new survey of data scientists found that they spend most of their time massaging rather than mining or modeling data. Still, most are happy with having the sexiest job of the 21st century. The survey of about 80 data scientists was conducted for the second year […]
R Consortium Funds Technical Initiatives, Events and Training to Support R Users
by Angela Guess According to a recent article out of the company, “The R Consortium, an open source foundation to support the R user community and a Linux Foundation project, today is announcing funding for seven community projects and the formation of two technical working groups. These milestones advance the R Consortium’s mission to support […]
Harnessing the Power of Your Collective in Data Governance and Data Science
Click to learn more about Kimberly Nevala. Emerging data solutions and trends have a common thread: the power of the collective in which the final product is bigger than the sum of its parts. Companies leading the data and analytics charge have recognized that the power of a collective applies to more than technology. They […]
Techniques and Algorithms in Data Science for Big Data
In simple terms, Big Data – when combined with Data Science – allow managers to measure and assess significantly more information about the subtleties of their businesses, and to use the information in making more intelligent decisions. In 2011, during the period when the growth of Big Data was really gaining significant notice throughout the […]
Top Tools Used By Data Scientists
by Angela Guess Andrew Rosenblum recently wrote in Business2Community, “You’ve read about many of the kinds of big data projects that you can use to learn more about your data in our What Can a Data Scientist Do for You? article—now, we’re going to take a look at tools that data scientists use to mine […]
How Much Time Do Data Scientists Spend Cleaning Data?
by Angela Guess Rick Delgado recently wrote in Dataconomy, “You probably had some big ideas in mind when you first started thinking about adopting big data solutions for your business… Hiring a qualified data science team is usually one of the first priorities, along with all the investment in equipment and technology needed to properly […]
Running Successful Data Science Projects
Companies pour a lot of effort into the Business Intelligence and Analytics (BI/A). In late 2013, Gartner predicted that the importance of BI/A projects for CIOs will continue to grow well into 2017 and beyond. Despite all the effort and attention on analytics though, companies are still struggling to succeed with Big Data. In a […]
The 3 Essential Skill Areas of Data Science
by Angela Guess Bob Hayes recently wrote in Business2Community, “Gil Press offers an excellent summary of the field of data science. According to Press, the term, data science, first appears in use in 1974. He concludes that data science is way of extracting insights from data using the powers of computer science and statistics applied […]
The Rise of the Site Reliability Engineer
by Angela Guess Donald Fischer recently wrote in TechCrunch, “Once a rarefied in-house role at a few leading Internet companies such as LinkedIn and PayPal, data science has since grown into a global phenomenon, impacting organizations of all sizes across many industries. More recently, a buzzy new job title has emerged from the same group […]
Building a Data Science Team from Scratch
by Angela Guess Ashu Dubey, co-founder of 12 Labs, recently wrote in Forbes, “There are two main approaches for how you can spice up your current projects with data science. One is to license data science technology from another company. The problem with this approach is that AI technology has not sufficiently matured to be […]