How do you transform your enterprise from being data-incompetent to data-driven? How do you incorporate and leverage your legacy data assets with your latest Big Data assets? How do you successfully implement Data Quality, Data Governance, and Master Data Management into your existing business and IT structures without causing undue chaos or friction? How do […]
Web Scraping for Data Science — Part 2
Click here to learn more about author Steve Miller. Read Part 1 of this blog series here. Between R and Python, analytics pros are covered on most data science bases R-Python. In last month’s blog, I discussed simple webscraping using Python in a Jupyter notebbok, the nifty css-generating tool SelectorGadget, and the Python XML and HTML handling package lxml. […]
The API Economy: A Big Ball of CRUD
Click this link to learn more about the author Dave Duggal. Quote: “The use of APIs has exploded with the growth of distributed computing, driven by the popularity of the Web, Cloud and now, the Internet of Things (IoT)” Back in 1999 an academic paper, “The Big Ball of Mud” exposed fundamental limitations of ‘modern’ software […]
Will Data Scientists Soon Be Obsolete?
by Angela Guess Bernard Marr recently opined in Forbes, “The job of data scientist — the quintessential big data job, and the job that was just voted the best job in America for 2016 — is at risk. Data scientists have been called ‘unicorns’ because finding the right person with the right set of skills […]
UK to Set Up a Council of Data Science Ethics
by Angela Guess Rebecca Bazeley recently wrote in PHG Foundation, “The UK Government is to set up a Council of Data Science Ethics. The development comes in response to recommendations from the Science and Technology Committee’s report The big data dilemma published earlier this year. The Council of Data Science Ethics will be established within […]
Bigger Data Science Teams Lead to Better Business Outcomes
by Angela Guess Bob Hayes recently wrote in Business2Community, “Businesses are teeming with data. As a result, business leaders are building up their data science capabilities to help make sense of their data. Our research showed that an effective approach to optimizing the value of that data is to build data science teams rather than […]
A Liberal Arts Approach to Data Science
by Angela Guess George Mount recently wrote in Smart Data Collective, “This week I read a great piece by Adam Weinberg, the president of Denison University, on his school’s initiatives to apply a liberal arts approach to data science. This is shocking to most, but why? Let’s diagram this phrase ‘data science’ (English skills!). Data […]
Selling the Value of Data Science, Governance or Analytics
Click here to learn more about Kimberly Nevala. I’ve recently participated in a number of executive forums on the rewards and realities of creating data-savvy and analytically-enabled cultures. Interestingly, one key theme comes up repeatedly in audience Q&A: how to make the case? Seems simple enough, but this step often causes those who understand the […]
The Nation’s First CDO, DJ Patil, on Data Science
by Angela Guess Chau Tu writes in Science Friday, “It’s been only eight years since DJ Patil—then the data and analytics lead at LinkedIn—co-coined the term “data scientist,” but the profession has already become one of the most popular in the country. Patil has long been involved in the data industry. As a doctoral student […]
5 Tips for Getting Started as a Data Scientist
by Angela Guess Roger Huang recently wrote in Dataconomy, “Over the past year, we’ve talked to a lot of aspiring data scientists. The one question we hear a lot is: ‘I’m an X major who wants to be a Data Scientist. Where do I start?’ So we’re sharing 5 important tips that will help you […]