Predictive Analytics

Big Data growth / shutterstock

Predictive analysts usually think of doing predictive modeling on structured data pulled from a database, probably flattened into a single modeling table by a query so that the data is loadable into a software tool. We then clean the data, create features, and away we go with predictive modeling.[read more]

Via Science

Big Math, to Via Science, is “the use of leading edge mathematics on very large supercomputing platforms to make better predictions, recommendations, and explanatory models of how the world works directly from data” and this is where they see themselves.[read more]

Big Data Analytics: what do your Likes reveal?

Big Data Analytics allow us to automatically analyze digital records such as our updates, photos and ‘Likes’ on Facebook. But did you know that your 'Likes' on Facebook could expose intimate details about you as well as personality traits you might not want to share with anyone?[read more]

What does a good analytics vendor look like?

Let’s face it: the best way to make your organization more data-driven is to get the best analytics talent within your organization. So what should you look for in your analytics vendor?[read more]

the analytical life cycle / shutterstock

Analytic skills shortages are not the only reason to focus on decision requirements if you are focused on predictive analytics and data mining. In fact decision requirements modeling has a role in the analytic lifecycle more generally.[read more]

How can Big Data deal with social risk?

Corporations are faced with literally millions of potential threat sources given how the social aspect of today’s online world has empowered practically every individual with immediate reach and influence to broadcast their disappointment, displeasure or disgust with a brand.[read more]

Decision management tool / shutterstock

Decision Optimizer is one of FICO’s Decision Management Tools and is designed to address some specific challenges in customer decisioning, particularly that there are often competing objectives and very large numbers of customers (and thus customer decisions) involved.[read more]

Big Data journey / shutterstock

While much around big data remains hype, many companies are in the fledging stages of drawing value from their big data corpus, and given an army of discussions and opinions around the topic, it’s still hard to find a clear roadmap to arrive at the Big Promise.[read more]

Real-time predictive analytics

In my presentation to the Strata Santa Clara 2013 conference earlier this year, my goal was to give a succinct (under 20 minutes!) explanation of three terms that are too often used as mere buzzwords: predictive analytics, real time, and big data. Here's an excerpt.[read more]

Big Social Data

From eating and drinking to watching entertainment to reading, just to name a few, the social conversations of consumers often reveal tremendous insight on their interests, activities, likes, dislikes, attitudes and behaviors simply as a byproduct of their ‘off-line’ engagements while engaging online.[read more]

perception gap

Consumers believe Sears is just for tools and electronics; is this the perception Sears wants to portray? What is Kroger doing better than others are? Walmart tweets way more frequently than other brands, and consumers reciprocate. 4 brands, 1 week and 100,000 Tweets: this infographic lays it all out for you.[read more]

Facebook & big data analytics

Facebook has massive data analytics capabilities and it has a lot of data - big data. It has our personal details, our likes, our updates, our pictures and videos. However, my big question here is: are they overstepping the mark by exploiting this (even very personal) data?[read more]

Predictive analytics whiz: Dr. Eric Siegel

In this interview, Social Media Today's Henry Spethmann speaks with Dr. Eric Siegel -- author of the new book "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die" -- about what predictive analytics is and how it can be applied to a number of different disciplines.[read more]

Anthony Goldbloom, Founder and CEO of Kaggle (Image courtesy of Kaggle.com)

What do brilliant data scientists, roller derby enthusiasts, and Prince William lookalikes have in common? You can find all three at Kaggle, a company whose mission is to bring together the top data scientists in the world to solve complex problems. Anthony Goldbloom is the company’s founder and CEO.[read more]

Predictive analytics for retail (Image Source)

Here's a true business success story that sheds bright light on the awesomeness of big data. It substantiates the notion that you should store every last iota of data – because you don’t know every pattern [read: opportunity] that might be found or explored.[read more]