At the CES 2015, I was fascinated by all sorts of possible applications of IoT – socks with sensors, mattresses with sensors, smart watches, smart everything – it seems like a scene in sci-fi movies has just come true. People are eager to learn more about what’s happening around them and now they…Continue
Added by Yuanjen Chen on February 4, 2015 at 2:00pm — No Comments
(Reprinted from http://rocketdatascience.org/?p=157 )
Data Innovation Day was celebrated on January 22, with many excellent events, including these:
In honor of the event, I prepared the…Continue
Added by Kirk Borne on February 3, 2015 at 9:46am — No Comments
Human resources analytics can provide businesses the keys to improving processes, reducing workforce costs and making the right policy changes to improve efficiency. Leaders in the space and speakers from the upcoming…Continue
Added by Alesia on January 20, 2015 at 12:00pm — No Comments
Originally posted on my blog.
Added by Christopher Hogue on January 15, 2015 at 2:30pm — No Comments
A common misconception about Big Data is that it is a black box: you load data and magically gain insight. This is not the case. As this New York Times article “For Big-Data Scientists, ‘Janitor Work’ Is Key Hurdle to Insights” describes, loading a big data platform with quality data with enough…
According to Deloitte’s 2014 Human Capital Trends survey, 86% of companies do not have any analytics capabilities in HR, and 67% are ‘weak’ at using HR data to predict workforce performance and improvement.
At the Workforce and HR Analytics Summit West 2015 (March 9-10, San Diego) experienced HR leaders will share how they have reshaped their HR analytics from reporting factories to strategic solution providers that answer some of the most important business…Continue
Added by Alesia on December 4, 2014 at 2:00pm — No Comments
While large data sets may provide significant value in certain cases, data diversity and integrating smart data points will provide more consistent actionable insights and high value intelligence leading to better decision-making.
For example, consider NFL football data. Focusing on large football game data sets is usually not helpful and often misleading creating…
I’ve been thinking a lot about data, where it comes from, and what it looks like. I can’t help it. I’ve been a data geek for almost 15 years. And I find data beautiful. Not necessarily in its raw form, mind you. Then it’s just messy and more often than not a pain to deal with, especially when it gets really, really big. But when smart, creative people start to clean it up and use it in different ways to find the hidden stories that make sense, it can help us learn things in ways that we…Continue
Added by Anne Russell on October 27, 2014 at 6:30am — No Comments
From episode 10 of my Naked Analyst Channel on YouTube.
I think I do - and it is the ‘appification’ of analytics. What I mean by this is the reduction of a complex analytic activity such as market segmentation, down to a single button on your computer interface. Very much like the…Continue
The "Big Data" marketing hype obscures the fact that more actionable, valuable insights are likely to be found in the right smaller "Smart Data" sets in contrast to large data sets.
While the term "Big Data" is properly defined as data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time - the…
The real estate industry has long operated according to its own traditions, but the availability of huge volumes of data is revolutionizing the way the industry works.…Continue
Added by Rick Delgado on September 16, 2014 at 5:30am — No Comments
The "big data" technology vendor market is ripe for consolidation. The myriad of vendors and technologies is causing market confusion. Matt Turck created a nice visualization entitled "…Continue
My Top 6 Websites For Big Data (including Data Science Central of course!) are:
The Naked analyst Episode 8 looks at the best sites to learn about the world of Big Data.
Here are my top 6 sites. They range from the easily digestible to the totally…Continue
Added by Steve Bennett on August 27, 2014 at 8:27pm — No Comments
I have been reading and collecting data science resources for years (back in the days when BI / BA was all the rage). While there are lots of resources on the net, not all are great and some are even misleading.
Now, I have updated my collection and placed them into a neat Trello list, open to all.
Of course it features some of the great and interesting articles from data science central:…
Added by Thia Kai Xin on July 28, 2014 at 6:00pm — No Comments
Everything is connected, through the cloud all machine-generated data are collected and widely shared over the Internet. That’s how we imagine IoT – the Internet of Things.
Correction: That’s how THEY imagine IoT. What WE envision here is not just about…Continue
Data empowers business: it gives us the information we need to make the decisions that drive enterprises, industries, and economies. Big Data enables us to collect a massive amount of information (that we can store, search, share, and analyze) to bring us closer to the goal of finding trends that lead to smarter business decisions. Big data has big impact on businesses, governments, and societies, and its impact is continuously growing. And it gets even bigger than that.
Added by Jon Rabinowitz on March 26, 2014 at 9:48pm — No Comments
Hadoop is an open source framework for storing massive amounts of data on clusters of commodity hardware.…
The Big Data Yawn
Over the past couple of months we have met with a number of oil and gas executives to demonstrate our Oil and Gas Solution built on Data-Tactics’ Big Data Engine (BDE). During these conversations it has become obvious that the very mention of "Big Data" produces an involuntary physiological response among business leaders - eye rolls and yawns. It appears that big data has reached the Gartner "trough of disillusionment". These executives have heard from a bewildering…Continue
Added by Sullexis LLC on March 10, 2014 at 6:00am — No Comments
In-memory database technology is fashionable in recent years as the price of RAM drops substantially and gigabyte chips become affordable. By taking advantage of the cost-performance value of RAM, leading edge database developers are boosting the performance of next-generation databases with in-memory technology. However, many developers who intend to adopt in-memory technology only think of speed in terms of RAM, and do not exploit the true power of in-memory technology.
As we move to a more…Continue
Added by Kyle Albert on March 5, 2014 at 10:06pm — No Comments