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Eric Siegel Discusses Predictive Analytics and Civil Liberties on KCRW’s Radio Show
Last week on “To the Point,” an NPR-syndicated radio...
Wise Practitioner – Predictive Analytics Interview Series: Dean Abbott, Abbott Analytics
In anticipation of his upcoming conference keynote and workshops...
Wise Practitioner – Predictive Analytics Interview Series: Elpida Ormanidou of Walmart
In anticipation of Predictive Analytics World for Workforce, March...
Future of Analytics: Big Data Integration, Transforming Organizations and Processes, Providing Speed and Foresight
With Analytics being a buzzword, most business executives have...
Haystacks and Needles: Anomaly Detection
Anomalies vs Outliers Anomaly detection, or finding needles in...
Auditing the Data When Deploying Predictive Analytics Solutions
Much of the discussion in the predictive analytics discipline...
Leveraging Dark Data: Q&A with Melissa McCormack
Melissa McCormack,Research Manager at predictive analytics research firm Software...
Wise Practitioner – Predictive Analytics Interview Series: Nephi Walton, M.D., Washington University/University of Utah
In anticipation of his upcoming conference presentation at Predictive...
Using Predictive Modeling Algorithms for Non-Modeling Tasks
It is obvious what predictive modeling algorithms like decision...
Wise Practitioner – Predictive Analytics Interview Series: Greta Roberts of Talent Analytics
In anticipation of her upcoming keynote conference presentation at...
Wise Practitioner – Predictive Analytics Interview Series: George Savage, M.D., Proteus Digital
In anticipation of his upcoming keynote conference presentation at...
From Human Screen to Machine: Predictive Analytics Helps Avoid a Major Point of Hiring Failure
What is an employer’s most business-critical corporate process? At...
Predictive Analytics in Health Care: Helping to Navigate Uncertainties and Change
A recent billion-dollar forecasting error in Walgreen’s Medicare-related business...
The Power of Predictive Analytics for Retail Replenishment
Replenishment is an essential process in the retail supply...
Voice of the HR Profession: “Charts and Graphs are Hard to Follow”
In early August, our Director of Marketing reached out...
Wise Practitioner – Predictive Analytics Interview Series: John Cromwell, M.D., University of Iowa Hospitals & Clinics
In anticipation of his upcoming keynote conference presentation at...
Creating the All-important Analytical File-The Key Step in Building Successful Predictive Analytics Solutions
In the data audit process, canned routines are programmed...
Wise Practitioner – Predictive Analytics Interview Series: Linda Miner, Ph.D., Southern Nazerene University
In anticipation of her upcoming conference presentation at Predictive...
It is a Mistake to…. Accept Leaks from the Future
(Part 6 (of 11) of the Top 10 Data...
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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As data sources and technology advance, algorithms will be able to deliver better, personalized...

For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October...

This past week I attended the Predictive Analytics World Healthcare Conference in Boston.  This...

The recently concluded Predictive Analytics World 2014 in Boston, Massachusetts, was chock full of...

  • Last week on “To the Point,” an NPR-syndicated radio show, Predictive Analytics World founder Eric Siegel discussed predictive analytics in relation to civil liberties. While being interviewed along with a WSJ journalist, a New York Times/New Yorker journalist, and a law professor, he talked about ways in which predictive analytics delivers both great benefits and […]

  • In anticipation of his upcoming conference keynote and workshops at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Dean Abbott, President, Abbott Analytics, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict (e.g., attrition, response, fraud, etc.)? A: I’ve […]

  • In anticipation of Predictive Analytics World for Workforce, March 31-April 1, 2015, Conference Chair Greta Roberts interviewed keynote speaker Elpida Ormanidou, Vice President, Global People Analytics at Walmart. View the Q-and-A below to see how Ms. Ormanidou has incorporated predictive analytics into the workforce of Walmart. Also, glimpse what’s in store for the new PAW […]

  • With Analytics being a buzzword, most business executives have in some form thought or talked about role of Analytics in their businesses. 4i had recently conducted annual benchmarking survey, talking to Consumer Insights and Analytics executives at over 30 large companies. One of the questions was how Analytics executives see the future of analytics function. […]

  • 3 weeks ago
    Haystacks and Needles: Anomaly Detection

    Anomalies vs Outliers Anomaly detection, or finding needles in a haystack, is an important tool in data exploration and unsupervised analytic modeling. Anomaly detection also creates a path to supervised modeling by singling out key examples that an analyst can begin to classify as needles or hay. Those labeled examples are essential for supervised learning, […]

  • Much of the discussion in the predictive analytics discipline tends to deal with techniques and approaches that will help resolve a given business challenge or problem. In any approach or technique, though, integration of both technical(i.e. mathematics and software) and domain knowledge is critical to the success of any predictive analytics solution. Yet, there is […]

  • 4 weeks ago
    Leveraging Dark Data: Q&A with Melissa McCormack

    Melissa McCormack,Research Manager at predictive analytics research firm Software Advice, was recently interviewed about dark data by our Event Marketing Manager, Crystal Prag. Learn about businesses that can benefit from dark data extraction and processing, and also discover how businesses can continually merge dark data and traditional sources of light data. What ways can businesses […]

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