Featured Blog Posts – February 2014 Archive (30)

Data Silos Obstruct Quest for Competitive Advantage

Data and information silos are a significant problem for organizations getting full value from data. Data silos are separate databases or data files that are not part of an organization's…


Added by Michael Walker on February 11, 2014 at 8:00pm — 2 Comments

Combining Employee Expertise with Big Data Technical Skills

Using Big Data technology effectively, such as Map/Reduce or NoSQL, has two components: technical skills and high level expertise.  An article in Harvard Business Review, January 2013, entitled How IT Fumbles Analytics, stated "Improving how businesses extract value from data requires more than analytical tools. It involves creating an environment where people can use the company's data and their own knowledge to improve the firm's operational and strategic performance."




Added by Stephen Penn, DM, PMP on February 10, 2014 at 10:20am — No Comments

10 questions about big data and data science

Open ended-questions. What are your thoughts, how would you answer the following questions? Feel free to select a few of these questions (or create your own) and provide an answer in the "Comments" section. I'll add my own answers in the next few days.…


Added by Vincent Granville on February 8, 2014 at 10:00am — 4 Comments

(R + Python)

Both R & Python should be measured based on their effectiveness in advanced analytics & data science. Initially, as a new comer in data science field we spend good amount of time to understand the pros and cons of these two. I too carried out this study solely for “self” to decide which tool should i pick to get in depth of data science. Eventually, i have started realizing that both (R & Python) has its space of mastery along with their broad support to data science. Here some…


Added by Manish Bhoge on February 7, 2014 at 9:22pm — 4 Comments

Weekly Digest - February 10

Starred articles are written by DSC staff.

Sponsored Announcement

Expand your Big Data skillset. Wiley offers a range of Big Data books covering the practical and theoretical aspects of…


Added by Vincent Granville on February 6, 2014 at 3:30pm — No Comments

2013 Data Science Salary Survey, by O'Reilly

How much money do successful data scientists or analysts make, and which tools increase their salaries most? O’Reilly Media surveyed hundreds of Strata Conferenceattendees on both coasts for its first annual …


Added by Vincent Granville on February 6, 2014 at 9:30am — No Comments

7 ways Big Data can help your BI solution

Big Data continues to be the buzzword du jour.  And as with most popular concepts espoused by everyone from marketers and consultants to purveyors of software and infrastructure, the phrase can mean different things to different people.  For us at Sullexis, we think of Big Data as a set of technologies that enable our clients to consume and process high volumes and/or diverse types of information.

But our clients need ROI.  Neither access to a large amount of diverse data nor…


Added by Sullexis LLC on February 5, 2014 at 1:13pm — 1 Comment

Possibly the most terrifying fraud scheme to efficiently steal all your money

This is potentially one of the worst nightmares for security experts. This type of fraud has been observed in the context of click fraud, but the payload potential is far bigger if it ever gets implemented to steal bank account…


Added by Vincent Granville on February 4, 2014 at 10:00pm — 4 Comments

Super Bowl Analytics: A Closer Look at #WhosGonnaWin

Excerpt reprinted with permission from ckmadvisors.com

This weekend sees Super Bowl XLVIII come to New York (yes, we're well aware that the stadium is technically in New Jersey). Earlier this week one of our data scientists noticed the Empire State Building lights putting on quite a show. A quick search revealed that the iconic building's…


Added by Nicholas Hartman on February 2, 2014 at 1:29pm — No Comments

California regulator seeks to shut down ‘learn to code’ bootcamps

If you provide online training, it's very easy to move your business out of California. None of these regulators are qualified to assess whether the training/content meet standards: they don't even know what data science means. Also, the tons of regulations that they have enacted apply to very traditional school settings. To qualify, you must send plans of the…


Added by Vincent Granville on February 2, 2014 at 11:00am — 2 Comments

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