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Wise Practitioner – Predictive Analytics Interview Series: Marty Kohn, M.D. of Jointly Health
In anticipation of his upcoming conference keynote at Predictive...
What’s the Government’s Role in Big Data Surveillance?
What if predictive analytics could help prevent acts of...
Wise Practitioner – Predictive Analytics Interview Series: John Foreman of MailChimp
In anticipation of his upcoming conference keynote at Predictive...
Is Predictive Analytics Insidious? National Radio Interview
Interviewing Eric Siegel on the radio, a Hollywood big...
5 Reasons Predictive Analytics World for Workforce is Different – And Better
If you follow the workforce analytics space, you may...
Should Employee Analytics “Go Fishing” or Solve Business Problems?
Over the years, our firm has had many discussions...
Wise Practitioner – Predictive Analytics Interview Series: Sameer Chopra of Orbitz
In anticipation of his upcoming conference keynote at Predictive...
Wise Practitioner – Predictive Analytics Interview Series: Jack Levis of UPS
In anticipation of his upcoming conference keynote at Predictive...
Connecting the Experts with the Data Scientists
“Can Machines Think?” was the cover of Time magazine...
Why analysts should master public speaking
Industry leader and consultant Geert Verstraeten serves as program...
Defining the Target Variable in Predictive Analytics- A Not so Easy Process
Defining a target variable is one of the preliminary...
Book Review of “Applied Predictive Analytics” by Dean Abbott
Industry leader and author Dean Abbott will be presenting...
Recognizing and Avoiding Overfitting, Part 1
In my last two posts I described why overfitting...
Webinar: Towards Solving Employee Attrition: Cost Modeling
Presented by: Pasha Roberts, Chief Scientist, Talent Analytics, Corp....
It is a Mistake to…. Listen Only to the Data
(Part 5 of 11 of the Top 10 Data...
The Data Audit Process (Part 1)-The Initial Step in Building Successful Predictive Analytics Solutions
Building predictive analytics solutions is very much in-vogue for...
10 Practical Actions that Could Improve Your Model
  (adapted from Chapter 13 of the Handbook of...
The Great Analytical Divide: Data Scientist vs. Value Architect
In the analytics space, it is quite common for...
Employee Churn 202: Good and Bad Churn
Our prior article on this venue began outlining the...
Why Overfitting is More Dangerous than Just Poor Accuracy, Part II
In part one, I described one problem with overfitting...
Predictive Analytics is the Answer to Smart Fulfillment and Omni-Channel Retailing
Over the past 5 years there have been several...
Employee Churn 201: Calculating Employee Value
Much has been written about customer churn – predicting...
Why Overfitting is More Dangerous than Just Poor Accuracy, Part I
Arguably, the most important safeguard in building predictive models...
5 Ways to Become Extinct as Big Data Evolves
The need to adopt sophisticated data analytics has become...
It is a Mistake to…. Ask the Wrong Question
(Part 4 (of 11) of the Top 10 Data...
What Role can Network Analysis play in Business Intelligence?
Network analysis is an emerging Business Intelligence technique that’s...
The Data Behind Data Scientists: Top Kaggle Performers
Kaggle, an online platform that hosts data analytics competitions,...
It’s Predictive Analytics, not Forecasting!
This is my final article for this year. It’s...
A Good Business Objective Beats a Good Algorithm
Predictive Modeling competitions, once the arena for a few...
Retail Predictive Analytics for Price Optimization & Markdown Management
There is no doubt that price is one of...
It is a Mistake to…. Rely on One Technique
(Part 3 of 11 of the Top 10 Data...
The Musings of a (Young) Data Scientist
I quit my job as a Mathematical Statistician after...
Big Data Continued…
Big Data is not a singular concept but rather...
How to Calculate the Optimal Safety Stock using Retail Predictive Analytics.
In a perfect world, a retailer knows exactly how...
The Role of Analysts After Model Deployment
Last month I made the case for discussing model...
How predictive analytics will power the internet of things
Recently, Nissan Motor announced that they will
Prediction Isn’t Just About Stocks. Predictive Persuasion
Prediction isn’t just for the stock market. Trading is...
The Greatest Power of Big Data: Predictive Analytics
Every day’s a struggle. I’ve faced some tough challenges...
It is a Mistake to… Focus on Training Results
(Part 2 of 11 of the Top 10 Data...
7 Ways Predictive Analytics Helps Retailers Manage Suppliers
One of the most challenging aspects of the retail...
Why Don’t We Talk about Deployment?
The Cross Industry Standard Process for Data Mining...
Understanding Predictive Analytics: A Spotlight Q&A with Eric Siegel, author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
This BeyeNETWORK spotlight features Ron Powell's interview with Eric...
Predictive Analytics: “Freakonomics” Meets Big Data
While writing my book, Predictive Analytics: The Power...
5 Reasons to Not Care About Predictive Analytics
Technology: complex and alienating, or promising and fascinating?...
Yet Another Big Data Article
It's like an irritating fly buzzing around your head...
Predictive Analytics Helps Solve Retail Allocation Challenges
We’ve already discussed why predictive analytics works so...
Why (some) Predictive Analytics will Move to the Cloud
A 2012 Gartner survey of over 1300...
Wise Practitioner – Predictive Analytics Interview Series: Philip O’Brien & Tom Kern of Paychex
In anticipation of their upcoming conference presentation at Predictive...
Wise Practitioner- Predictive Analytics Interview Series: Vikash Singh
In anticipation of his upcoming conference presentation at Predictive...
Deathwatch: Five Reasons Organizations Predict When You Will Die
Who benefits by predicting your behavior? Organizations do—companies, government...
Wise Practitioner – Predictive Analytics Series: Brett Cohen of AOL
In anticipation of his upcoming conference presentation at
The NSA, Link Analysis and Fraud Detection
The recent leaks about the NSA's use data mining...
Top 10 Analytic Mistakes–Today #0: Lacking Relevant Data
Mining data to extract useful and enduring patterns remains...
How Predictive Analytics Has Transformed Inventory Management in Retail
Every retailer wishes to have the right product at...
Big Data is Not Enough
Big data is the big buzz word in the...
Predictive Analytics & Retail
Predictive analytics is a hot topic. It has certainly...
What do we see in Predictive Models?
Predictive Analytics is one of the hottest careers on...
The Computer Knows Who You Are
There's a surprising twist. While some question whether the...
Interview With Predictive Analytics Author Eric Siegel
We live in an era of Big Data and...
Do Predictive Modelers Need to Know Math?
Predictive analytics is just a bunch of math, isn’t...
Five Reasons Siegel’s Predictive Analytics Book Matters to Experts
My new book—Predictive Analytics: The Power to...
The Future of Prediction: Predictive Analytics in 2020
Good morning. It's January 2, 2020, the first workday...
The Future Directions for Text Analytics
At the Boston Text Analytics World, held on October...
How the Obama Camp Analytically Persuaded Millions of Voters
Elections hang by a thinner thread than you think...
What We Should Take Home From Predictive Analytics Conferences
Why should one go to a predictive analytics conference?...
Three Ways to Get Your Predictive Models Deployed
We all know that given reasonable data, a good...
Why Predictive Modelers Should be Suspicious of Statistical Tests
Well, the danger is really not the statistical test...
Inside the Secret World of the Data Crunchers Who Helped Obama Win
In late spring, the backroom number crunchers who...

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This New York Times article addresses what most predictive analytics practitioners refer to as...

In 2009, Alexander S. White, a former Universal Music Group intern, co-founded a company...

  • In anticipation of his upcoming conference keynote at Predictive Analytics World Healthcare in Boston, “Big Data and Clinical Decision Support,” we asked Marty Kohn, M.D., Chief Medical Scientist at Jointly Health, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what area of healthcare are you focused on […]

  • 5 days ago
    What’s the Government’s Role in Big Data Surveillance?

    What if predictive analytics could help prevent acts of terrorism? With so much at stake, should the government responsibly monitor data surveillance? If data privacy surveillance is the route to take, how should the government implement this? These provoking questions are brought to mind in an article posted on The Guardian. The article, “Little Privacy […]

  • In anticipation of his upcoming conference keynote at Predictive Analytics World Boston, “Problems, then Techniques, then Toys. Keeping Your Predictive Analytics Right-side Up,” we asked John Foreman, Chief Scientist at MailChip,  a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? A: At […]

  • 1 week ago
    Is Predictive Analytics Insidious? National Radio Interview

    Interviewing Eric Siegel on the radio, a Hollywood big wig introduced predictive analytics as insidious, ominous, very manipulative, Machiavellian, and Orwellian; “Big Brother is watching you.” Siegel countered with how prediction is good for the world. 15 minute radio clip: On The Marilu Henner Show (national radio), Hollywood writer/director Ken Levine (MASH, The Simpsons, Cheers) […]

  • 1 week ago
    5 Reasons Predictive Analytics World for Workforce is Different – And Better

    If you follow the workforce analytics space, you may have read yet another article about moneyball and the innovative people analytics companies leading the way around using data to optimize workforce. There are certainly some fantastic and innovative companies in Silicon Valley and beyond doing great work with predictive analytics – but it’s just the tip […]

  • Over the years, our firm has had many discussions with employers on the eve of a new talent analytics project. Often, it is the firm’s first deep-dive look at employee data. Sometimes we act as a strategic sounding board, and sometimes we can help them move directly forward into predictive analytics. It is always interesting. […]

  • In anticipation of his upcoming conference keynote at Predictive Analytics World Boston, “Blackjack Analytics: A Surprising Teacher from Which All Businesses Can Learn,” we asked Sameer Chopra, GVP of Advanced Analytics, Orbitz Worldwide, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? […]

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