Each week, my crack staff of researchers sends me a few dozen articles about Business Intelligence and Data Analytics. I distill it down to the top 10 so you can easily find good reads that are worth your time. Some weeks, finding 10 articles worth sharing isn’t possible. Maybe too much turkey. So here’s the top 7.
1. The changing job market for data scientists: Advice from top bosses
SiliconANGLE has been conference-hopping all year, speaking with top executives and industry leaders on the changing landscape of data-related professions. It gathered quotes from recent interviews with experts who discussed a variety of related topics–from finding the right people to work as data scientists, to the challenges data scientists face in today’s professional market.
Jake Porway, Founder & Executive Director at DataKind, establishes this week’s theme by saying “…frankly, the biggest aspect is actually the framing of the problem, really finding the question. As any good data scientist will tell you, it’s not so much about the data, it’s the question you start with.”
2. A Good Business Objective Beats a Good Algorithm
Predictive Modeling competitions, once the arena for a few data mining conferences, has now become big business. Kaggle (kaggle.com) is perhaps the most well-known forum for modeling competitions, using a crowd-sourcing mentality: if more people try to solve a problem, the likelihood that someone will create an excellent solution to that problem increases. … Some very clever algorithms and solutions have been developed with, on some occasions, ground-breaking results. One conclusion to draw from these competitions is that what we need in the predictive analytics space is more data scientists with different, innovative ideas for solving problems, and perhaps more in-depth training of data scientists so they can create these innovative solutions.
3. Take An Issue-Driven Approach To Business Intelligence
Depending on analytics skills level, technology capability, and business objective, organisations apply BI in a variety of different ways – ranging from a single query in a marketing department, to exploring new business opportunities in a country/region, to uncovering enterprise-wide operational efficiencies. However, no matter what type of BI a company pursues, or the business need it is trying to solve, the main BI goal is to find the right insights at the right time and place, to improve and optimise decision-making and organisational performance.
4. How Big Data is Replacing the Job Interview
Now, recruiters are turning to new analytical techniques using big data services to help them develop better criteria and better evaluation tools to truly find the best person for the job.
5. Life sciences IT execs plan business intelligence spending blitz
With payers in key markets pushing for lower drug prices and generics slaying many of Big Pharma’s cash cows, companies need to cut the cost of development. Now, a survey has confirmed one way firms are trying to achieve efficiency goals: increased spending on business intelligence (BI) and analytics tools.
6. The 4 Key Pillars of Hadoop Performance and Scalability
Hadoop has emerged as the go-to software solution in tackling Big Data. For organizations looking to adopt a Hadoop distribution, Robert D. Schneider—the author of Hadoop for Dummies—has just released an eBook entitled the Hadoop Buyer’s Guide. In the guide, sponsored by Ubuntu, the author explains the main capabilities that allow the Hadoop platform to perform and scale so well. What follows is a brief overview of these four key pillars of Hadoop performance and scalability.
7. Big Data Offers Means to Combat Healthcare Hacker Attacks
Healthcare organizations have increasingly been targeted by hackers as more and more of their data becomes electronic. Since 2009, hospitals and medical practices have been under the gun by regulators to ditch paper for electronic records by 2015. “There’s been pushback that timeframe is too ambitious for providers to properly secure their data,” said Joan Walker, a senior consultant with TayganPoint, a management consulting firm.