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August 2013 Blog Posts (35)

Big Data: Big Dud? or Big Excuse for Nonscientific Thinking?

On August 17, an article appeared in the New York Times with the title "Is Big Data an Economic Big Dud?" A colleague of mine provided a very brief summary of the article in…


Added by Kirk Borne on August 18, 2013 at 1:00pm — No Comments

Things to Consider for Mobile BI Design

Rather it's the wave of the future or just a passing fad,  if you are designing information for the mobile BI users then this change applies to you!  There's a simple reason - what will your fancy report look like on a teeny-tiny, itty-bitty tablet? Cramped? Sliding off the page? Not ready for prime time?   [Read more about mobile BI predictions in my Mobile BI Is Arriving Soon... It Could…


Added by Tricia Aanderud on August 15, 2013 at 10:30am — No Comments

Financial Times Review of “Predictive Analytics”: “Ignores Dark Overtones”

The Financial Times reviewed my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die.


Click here to read the full Financial Times review (free membership required).


Excerpt from the book review:



Added by Eric Siegel on August 15, 2013 at 9:22am — 2 Comments

101 prime resources on mathematics

These sites cover the full gamut of mathematical topics, and cater both to total beginners and career mathematicians.

  1. American Mathematical Society Blogs…


Added by Vincent Granville on August 14, 2013 at 4:51pm — No Comments

Who Has The Largest Predictive Data Analytics?

With vast amount of data that currently available, who should be able to predict the future the most? Should it be Google? Facebook? Twitter? Google claim to be able to predict the flu epidemic in the future, and other things. Is it because Google has the biggest data in this world? Or it is not?

If big data can predict the future, then those who have the biggest data are the ones who can better predict…


Added by Eka Aulia on August 12, 2013 at 6:00pm — 5 Comments

The New Predictive Profession – Odd Yet Newly Legitimate

Here's a review of my book Predictive Analytics from Robert Nisbet, Ph.D., a leading consultant, author, and predictive analytics instructor at University of California – Irvine (posted here with his permissoin).


Review of Predictive Analytics – The Power to Predict Who Will Click, Buy, Lie, or Die  By Eric Siegel.

Robert Nisbet, Ph.D.

March 21, 2013


Predictions have a problem.  They are viewed…


Added by Eric Siegel on August 12, 2013 at 12:16pm — 1 Comment

Underfitting/Overfitting Problem in M/C learning

Underfitting : If our algorithm works badly with points in our data set, then the algorithm underfitting the data set. It can be check easily throug the cost function measures. Cost function in linear regression is half the mean squared error ex. if mean squared error is c the cost fucntion is 0.5C 2. If in an experiment cost ends up high even after many iterations, then chances are we have an underfitting problem. We can say…


Added by Tarun Gulyani on August 12, 2013 at 6:21am — 2 Comments

10 Enterprise Predictive Analytics Platforms Compared

Originally posted on Butler Analytics on July 17, by Martin Butler.…

Google Analytics Interface


Added by Vincent Granville on August 10, 2013 at 12:30pm — 5 Comments

Modern Data Architecture with Apache Hadoop

There certainly is no shortage of hype when it comes to the term “Big Data”. One thing we can be sure of is that massive data volumes are driving a new modern data architecture that includes Hadoop in the mix. But what does that architecture look like with traditional infrastructure like the enterprise data warehouse? As part of our modern data architecture series we will investigate how the various enterprise…


Added by Vincent Granville on August 9, 2013 at 7:30pm — No Comments

What is a Universal Customer ID (UCID) and why does your business need one?

Most companies have multiple sources of data. These include transaction systems that track customer purchases, e-mail systems, CRM databases, and numerous other data sets that track individual customer interactions with the business. Oftentimes, these data sit in silos with little interaction or cross-pollination of information between databases. As companies become more inclined to run analytics projects, they often ask how to merge such data sets into a unified whole. The first step to…


Added by Wojciech Gryc on August 9, 2013 at 1:03pm — No Comments

An Onslaught of Press about Predictive Analytics

Have you seen the press coverage related to my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Wiley, February 2013)?


If you're already an expert practitioner, these articles can serve to help ramp up your clients and coworkers.


If your work doesn't connect to data munching in any way, these articles (and the book) are still totally for you. This accessible book has been…


Added by Eric Siegel on August 8, 2013 at 7:10am — No Comments

Weekly Digest - August 12

Featured Articles


Added by Vincent Granville on August 8, 2013 at 1:30am — No Comments

Democratizing Data Assets: Learning From Data, Big and Small

When we devote so much time and energy talking about Big Data, are we neglecting the important things that you can do with Small Data?

Maybe, but... probably not.

Looking beyond the Big Data hype helps us to …


Added by Kirk Borne on August 7, 2013 at 11:00am — 2 Comments

Logistics Dashboards & Enterprise Data Warehouse

Managing activities with the help of dashboards and simply analyzing past actions, is no longer enough to address today's competitive world. Taking leadership in a market requires more than being reactive to facts. To lead you should be more active, you must be preactive, interactive and even proactive. This requires to couple decision means to operational systems. Analyze should involve very fresh data needs. More intelligence should be brought into play to run operations. Being…


Added by Michel Bruley on August 6, 2013 at 2:11am — No Comments

Data virtualization tools to gather data for a data mining project ..

Has anyone use DV tools (e.g. Denodo/Composite/Informatica) to gather data from diverse data sources to feed the customer signature datasets/ whatever-is-the-object-of-analysis signature datasets ?  I think it is feasible, and could make a serious dent in the "80% of predictive project is data preparation" wisdom. I would appreciate anyones thoughts on this ....

Added by Ashish Warudkar on August 5, 2013 at 9:53am — 2 Comments

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