Predictive Analytics Times
Predictive Analytics Times
Exclusive Highlights
Taking Action on Technical Success: A Fable of Data Science and Consequences
Note: This story is fiction, but it is based...
Analytics is (often) a Faith-Based Business
If you follow data science topics in various social...
Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Chris Labbe at Seagate Technology
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference...
Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Peter Frankwicz at Elmet Technologies
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference...
Wise Practitioner – Text Analytics Interview Series: Dirk Van Hyfte at InterSystems Corporation
In anticipation of his upcoming conference co-presentation, Personalized Medicine...
Wise Practitioner – Text Analytics Interview Series: Michael Dessauer and Justin Kauhl at The Dow Chemical Company
In anticipation of their upcoming conference co-presentation, Understanding our...
Women in Data Science
The field of Data Science is booming, yet comparatively...
Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Edward Crowley at The Photizo Group, Inc.
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference...
Boosting Performance of Machine Learning Models
People often get stuck when they are asked to...
Wise Practitioner – Predictive Analytics Interview Series: Tanay Chowdhury at Zurich North America
In anticipation of his upcoming conference presentation, Deep Learning...
Feature Engineering within the Predictive Analytics Process — Part One
What is Feature Engineering One of the growing discussions...
The Executive’s Guide to Employee Attrition
Much has been written about customer churn – predicting...
Wise Practitioner – Predictive Analytics Interview Series: Lawrence Cowan at Cicero Group
In anticipation of his upcoming conference presentation, Data Driven...
Wise Practitioner – Text Analytics Interview Series: John Herzer and Pengchu Zhang at Sandia National Laboratories
In anticipation of their upcoming conference co-presentation, Enhancing search...
Wise Practitioner – Text Analytics Interview Series: Emrah Budur at Garanti Technology
In anticipation of his upcoming conference presentation, Tips and...
Wise Practitioner – Predictive Analytics Interview Series: Thomas Schleicher at National Consumer Panel
In anticipation of his upcoming conference presentation, Using Predictive...
Ghosts in the Data, Constructing Data Entities
Data Entities are seldom discussed concepts that primarily hide...
Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Dr. Matteo Bellucci at General Electric
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference...
HR’s First Predictive Project? Pre-hire Candidate Screening
Corp recruiters have a very important and difficult job....
Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Gary Neights at Elemica
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference...
Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Jeffrey Banks at The Applied Research Laboratory at The Pennsylvania State University
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference...
Wise Practitioner – Text Analytics Interview Series: Frédérick Guillot at Co-operators General Insurance Company
In anticipation of his upcoming conference presentation, Leveraging Hands...
Wise Practitioner – Predictive Analytics Interview Series: Alice Chung at Genentech
In anticipation of her upcoming conference co-presentation, Utilizing Advanced...
Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Carlos Cunha at Robert Bosch, LLC
In anticipation of his upcoming Predictive Analytics World for Manufacturing...
5 Common Mistakes Multi-Channel Retailers Make, and How to Avoid Them
Multi-channel retailers are often finding themselves stuck in a...
Three Critical Definitions You Need Before Building Your First Predictive Model
Portions excerpted from Chapter 2 of his book Applied...
Measurement and Validation: An Often Underrated Aspect within the Predictive Analytics Discipline
In our Big Data world, software applications and programming...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Haig Nalbantian at Mercer
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Pasha Roberts at Talent Analytics, Corp.
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Improving Word Clouds as Tool for Text Analytics Data Visualization
Rich Lanza will present Using Letter Analytic Techniques to...
Dr. Data’s Music Video: The Predictive Analytics Rap
With today’s release of “Predict This!” – the rap...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Geetanjali Gamel from MasterCard
In anticipation of her upcoming Predictive Analytics World for Workforce conference...
Mid-Life Journey to Data Science
Data Science has been hailed as the sexiest job...
Wise Practitioner – Predictive Analytics Interview Series: Dr. Patrick Surry of Hopper
In anticipation of his upcoming keynote conference presentation, Buy...
What are you Predicting in Customer Retention?
Customer Retention models are arguably the most valuable models...
Wise Practitioner – Predictive Analytics Interview Series: Ken Elliott at Hewlett Packard Enterprise
In anticipation of his upcoming conference presentation, Operationalizing Analytics:...
Wise Practitioner – Workforce Predictive Analytics Interview Series: Holger Mueller at Constellation Research
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Wise Practitioner – Predictive Analytics Interview Series: Lawrence Cowan at Cicero Group
In anticipation of his upcoming conference presentation, Predicting the...
Hey FinTech, What’s Your Strategy for Leveraging Unstructured Data?
Financial technology has sparked a global wave of startups...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Raffael Devigus at F. Hoffmann-La Roche AG
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Wise Practitioner – Predictive Analytics Interview Series: Rebecca Pang at CIBC
In anticipation of her upcoming conference presentation, Driving the...
Employee Engagement – a Tricky Metric for Predictive Analytics
Our work focuses on using predictive analytics to decrease...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Daniil Shash at Eleks
In anticipation of his upcoming Predictive Analytics World for...
The Information Age’s Latest Move: Four Predictive Analytics Developments for 2016
Originally published in Big Think Prediction is in the...
Why Do We Stop Asking Why?
I’ve lived through this phenomenon first hand. The environment...
Predictive Analytics and the Internet of Things
As technology continues to empower our ability to conduct...
Wise Practitioner – Predictive Analytics Interview Series: Mario Vinasco at Facebook
In anticipation of his upcoming conference presentation, Advanced Experimentation...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Vishwa Kolla at John Hancock Insurance
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
In Predictive Analytics, Coefficients are Not the Same as Variable Influence, Part II
In my last post, “Coefficients are not the same...
Wise Practitioner – Predictive Workforce Analytics Interview Series: John Lee at Equifax Workforce Solutions
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Wise Practitioner – Predictive Analytics Interview Series: Peter Bull at DrivenData
In anticipation of his upcoming conference presentation, Predicting Restaurant...
The “Predictive Analytics” FAQ — What’s New in the Updated Edition and Who’s The Book for?
This is the preface to Eric Siegel’s newly-released Revised...
Wise Practitioner – Predictive Analytics Interview Series: Matt Bentley at CanIRank.com
In anticipation of his upcoming conference presentation, Predicting Online...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Lisa Disselkamp and Tristan Aubert at Deloitte
In anticipation of their upcoming Predictive Analytics World for Workforce conference...
The Data Scientist’s Dilemma: Does Skipping Breakfast Kill You?
Would skipping breakfast kill you? Not necessarily—but confusing correlation and causation...
Predictive Analytics Can Help with the Challenges Facing Manufacturing in the 21st Century
Historically, data and analytics have been key to the...
Wise Practitioner – Predictive Analytics Interview Series: Nate Watson at Contemporary Analysis
In anticipation of his upcoming conference presentation, Predictive Sales...
Customer Experience Predictions for 2016
As we look ahead and see 2016 unfurling in...
Predictive Analytics Book Excerpt: Hands-On Guide—Resources for Further Learning
Here is the Hands-On Guide that appears at the...
Wise Practitioner – Predictive Analytics Interview Series: Hans Wolters at Microsoft
In anticipation of his upcoming conference presentation, Predicting User...
Machine Learning: Not Necessarily a New Phenomenon in Predictive Analytics
One of the more recent topics gaining traction in...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Frank Fiorille at Paychex, Inc.
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Netflix, Dark Knowledge, and Why Simpler Can Be Better
Weary from an all-night coding effort, and rushed by...
The Case Against Quick Wins in Predictive Analytics Projects
When beginning a new predictive analytics project, the client...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Jason Noriega at Chevron
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Wise Practitioner – Predictive Analytics Interview Series: Matthew Pietrzykowski at General Electric
In anticipation of his upcoming conference co- presentation, Advanced Analytics...
B2B Predictive Analytics: An Untapped Sector
Much work in predictive analytics and data science has...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Greg Tanaka at Percolata
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Michael Li at The Data Incubator
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Four Ways Data Science Goes Wrong and How Test-Driven Data Analysis Can Help
If, as Niels Bohr maintained, an expert is a...
In Predictive Analytics, Coefficients are Not the Same as Variable Influence
When we build predictive models, we often want to...
Oracle’s Ten Enterprise Big Data Predictions for 2016
Companies big and small are finding new ways to...
Personalities That Are Barriers to Model Deployment (And How to Partner With Them) Part III: The Expert
So you have gathered your data and completed your...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Kathy Doan at Wells Fargo Bank
In anticipation of her upcoming Predictive Analytics World for Workforce conference...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Jonathon Frampton at Baylor Scott & White Health
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Mobile Analytics-Mining the Visit Experience of the Customer
Mobile technology as part of the Big Data discussion...
The Devil’s Data Dictionary – Making Fun of Big Data
Buy it on Amazon When Stéphane Hamel coined the...
Wise Practitioner – Predictive Workforce Analytics Interview Series: Ben Waber of Humanyze
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
The Quest for Unicorns
Will there be enough data scientists in the future?...
Most Swans are White: Living in a Predictive Society
In anticipation of the forthcoming Revised and Updated, paperback...
Hiring? Approving Mortgages? It’s the Same Thing
Imagine that Chris wants to buy a house and...
Personalities That Are Barriers to Model Deployment (And How to Partner With Them) Part II: The Skeptic
So you have gathered your data and completed your...
5 Types of Analytics in Business: One to Go After and One to Avoid
I have been lucky enough to work in some...
The Beginner’s Guide to Predictive Workforce Analytics
Human Resources Feels Pressure to Begin Using Predictive Analytics...
Predictive Modeling Forensics: Identifying Data Problems
Excerpted and modified from Chapters 3 and 4 of...
Five Wins for Retail with Predictive Analytics
We’ve heard a lot about how big data is...
Faster Credit Scoring Dev With Specialized Binning Code – R Package
Introduction One of the main concerns in a credit...
Good Predictions != Good Decisions
A Fateful Tale Ted is having a rough week...
Using Predictive Analytics to Bring Retailers Closer to Their Customers
Based on the amount of retailers that have been...
Visualization: Panacea for Building Analytics Solutions?
Data,data,data everywhere and what do I do with it....
Five Challenges in Using Predictive Analytics to Improve Patient Outcomes
In the increasingly patient-centric world of healthcare, predictive analytics...
Personalities That Are Barriers to Model Deployment (And How to Partner With Them) Part I: The Early Adopter
So you have gathered your data and completed your...
Five Ways Predictive Analytics Will Shape the Future of Advertising
Predictive analytics sounds almost mystical, and in a way,...
Five Ways Predictive Analytics Can Improve Patient Outcomes
The use of analytics in healthcare is gaining momentum...
Wise Practitioner – Predictive Analytics Interview Series: Scott Lancaster at State Street Corp.
In anticipation of his upcoming conference presentation, Predictive Analytics...
Can Employee Development Lead to Business Mediocrity?
Our predictive workforce assignments yield staggering results; saving /...
Empathy and Data Science: A Fable of Near-Success
Editor’s Note: While the story is fiction, the events...
Wise Practitioner – Predictive Analytics Interview Series: Jeff Butler at IRS Research, Analysis, and Statistics organization
In anticipation of his upcoming conference presentation, The Changing...
A Look at How Big Data is Changing Sports on the Field and in the Press Box
While major rules rarely change, everything else about professional...
Wise Practitioner – Predictive Analytics Interview Series: Dr. Satyam Priyadarshy at Halliburton
In anticipation of his upcoming conference presentation, Challenges in...
Automation: Friend or Foe to the Predictive Analytics Practitioner
Technologies and Big Data continue to bombard our working...
Winning Roles: Moneyball 2.0, for your Hiring and Succession Planning Processes
Business can learn a lot from sports in terms...
Wise Practitioner – Predictive Analytics Interview Series: Werner Britz at RCS Group
In anticipation of his upcoming conference presentation, Recoveries: External...
Wise Practitioner – Predictive Analytics Interview Series: Dr. Michael Dulin, Carolinas Healthcare System
In anticipation of his upcoming keynote conference presentation at...
Wise Practitioner – Predictive Analytics Interview Series: Benjamin Uminsky, Los Angeles County
In anticipation of his upcoming conference presentation, Mining the...
Wise Practitioner – Predictive Analytics Interview Series: Jessica Taylor of St. Joseph Healthcare
In anticipation of her upcoming conference co-presentation at Predictive...
Wise Practitioner – Predictive Analytics Interview Series: COL William Saxon, Department of the Army
In anticipation of his upcoming conference presentation, From Wisdom...
Defensive Data Science: What we can Learn from Software Engineers
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Wise Practitioner – Predictive Analytics Interview Series: Patty Larsen, Co-Director, National Insider Threat Task Force
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Wise Practitioner – Predictive Analytics Interview Series: Bin Mu at MetLife
In anticipation of his upcoming conference presentation, Establishing Value:...
Wise Practitioner – Predictive Analytics Interview Series: Michael Berry of TripAdvisor
In anticipation of his upcoming conference presentation, Picking the...
Wise Practitioner – Predictive Analytics Interview Series: Catherine Templeton, PAWGOV Keynote Speaker
In anticipation of her upcoming keynote conference presentation, Reforming...
Wise Practitioner – Predictive Analytics Interview Series: William Wood of St. Joseph Healthcare
In anticipation of his upcoming conference co-presentation at Predictive...
The Key to Modelling Success-The Variable Selection Process (Part 2)
Last month, I discussed the importance of variable selection...
Wise Practitioner – Predictive Analytics Interview Series: Madhusudan Raman at Verizon
In anticipation of his upcoming conference presentation, Predicting Behavioral...
Wise Practitioner – Predictive Analytics Interview Series: Scott Jelinsky of Pfizer, Inc.
In anticipation of his upcoming conference presentation at Predictive...
Wise Practitioner – Predictive Analytics Interview Series: Chris Franciskovich at OSF Healthcare System
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Wise Practitioner – Predictive Analytics Interview Series: Philip O’Brien at Paychex
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Wise Practitioner – Predictive Analytics for Healthcare Interview Series: Daniel Chertok at NorthShore University HealthSystem
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Wise Practitioner – Predictive Analytics Interview Series: Herman Jopia of American Savings Bank
In anticipation of his upcoming conference presentation, Driving Superior...
Stop Hiring Data Scientists Until You’re Ready for Data Science
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How to manage projects in Predictive Analytics
In the previous five years, the analytical scene has...
Wise Practitioner – Predictive Analytics Interview Series: Lawrence Cowan of Cicero Group
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Defining Measures of Success for Cluster Models
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Good luck placing Analytics in an org chart
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Retail Predictive Analytics Solves the Missing Link in Cross Selling, Up Selling, and Suggestive Selling
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Sameer Chopra’s Hotlist of Training Resources for Predictive Analytics
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Wise Practitioner – Predictive Analytics Interview Series: John Smits of EMC
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Be a Data Detective
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Predicting Employee Flight Risk: My Take
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The Key to Modelling Success -The Variable Selection Process (Part 1)
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Predictive Analytics World in Color [Infographic]
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Space Alien Eager to Convey Thoughts on Data Science
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Defining Measures of Success for Predictive Models
Excerpted from Chapters 2 and 9 of his book...
Overstatement of Results in Predictive Analytics
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The Biggest Lever to Success in Predictive Analytics
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Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Field Cady at Think Big Analytics
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference...
Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Jeffrey Thompson of Robert Bosch, LLC
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference...
Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Kumar Satyam of PricewaterhouseCoopers, LLP
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference...
White Paper – Immediate Access
Thank you for your interest in the white paper,...
Predicting Rare Events In Insurance
As we all know, predictive analytics is a discipline,...
Python, Predictive Analytics & Big Data oh my!
Python has seen significant growth in utilization in the...
Wise Practitioner – Predictive Analytics Interview Series: Thomas Schleicher of National Consumer Panel
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Leveraging Open Data: Improve Customer Experience and Drive New Market Opportunities
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From Code to Reports with knitr & Markdown
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Predictive Analytics Optimizes Prices and Markdowns for Retail
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Wise Practitioner – Predictive Analytics Interview Series: Delena D. Spann of US Government
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Infographic – PAW SF
5-Minute Recap
In San Francisco this past March and April, Predictive...
Wise Practitioner – Predictive Analytics Interview Series: Dr. Patrick Surry of Hopper
In anticipation of his upcoming conference presentation, Buy or...
Wise Practitioner – Predictive Analytics Interview Series: Viswanath Srikanth of Cisco
In anticipation of his upcoming conference co-presentation, Building a...
Wise Practitioner – Predictive Analytics Interview Series: Jack Levis of UPS
In anticipation of his upcoming conference keynote presentation, UPS Analytics...
Trust in Analytics Work: Why it’s Needed and How to Build It
Much has been written about data-driven decision making. Someone...
Guiding Principles to Build a Demand Forecast
Demand forecasting is one of the most challenging fields...
Wise Practitioner – Predictive Analytics Interview Series: Arcangelo Di Balsamo of IBM
In anticipation of his upcoming conference presentation, Applied Predictive...
Wise Practitioner – Predictive Analytics Interview Series: Dean Abbott of Smarter Remarketer
In anticipation of his upcoming conference presentation, The Revolution...
Predictive Analytics in Sports
The world of sports has seen exponential increases in...
5 Things I Learned at Predictive Analytics World for Workforce
As a trained researcher, I’ve always been fascinated with...
Predictive Analytics as a Strategic HR Solution
This interview is the second in a series on...
Visualizations Get Some Snap from R Shiny
“Numbers have an important story to tell. They rely...
What Programming do Predictive Modelers Need to Know?
In most lists of the most popular software for...
Wise Practitioner – Workforce Predictive Analytics Interview Series: John Callery at AOL
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Analytic Professionals — Share your views: Participate in the Rexer Analytics 2015 Data Miner Survey
Data Analysts, Predictive Modelers, Data Scientists, Data Miners, and...
Charlie Batch and the Cost of Obfuscation
The hot Florida sun shone down on fans, coaches,...
Predictive Analytics for Insurance Risk: A New Level of Data Scrutiny-Part 2-Development and Implementation
For more on the application of predictive analytics and...
Is Big Data Better?
Big data is usually defined as lots of records...
Wise Practitioner – Workforce Predictive Analytics Interview Series: Chad Harness at Fifth Third Bank
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Building the Optimal Retail Assortment Plan with Predictive Analytics
After making a financial plan for the year ahead,...
Using Advanced Clustering Techniques to Better Predict Purchasing Behaviors in Targeted Marketing Campaigns
Today’s forward-thinking retailers are seeking relevant, agile and intelligent...
Wise Practitioner – Workforce Predictive Analytics Interview Series: Patrick Coolen of ABN-AMRO Bank
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Using Predictive Analytics to Predict and Manage Business Travel Burnout
For more on the application of predictive analytics for...
Wise Practitioner – Workforce Predictive Analytics Interview Series: Scott Mondore at Strategic Management Decisions, LLC
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
Wise Practitioner – Predictive Analytics Interview Series: Bob Bress of Visible World
In anticipation of his upcoming conference presentation, TV Audience...
Wise Practitioner – Workforce Predictive Analytics Interview Series: Holger Mueller of Constellation Research, Inc.
In anticipation of his upcoming Predictive Analytics World for Workforce keynote...
The Imminent Future of Predictive Modeling
Predictive modeling tools and services are undergoing an inevitable...
Using Statistics and Visualization as Complementary Validation
I don’t often find myself thinking or saying common...
Predictive Analytics for Insurance: A New Level of Data Scrutiny
For more on the application of predictive analytics and...
The Three-Legged Stool of an Analytics Project
Perhaps you have heard rumors going around that analytics...
Defining Measures of Success for Predictive Models
Excerpted from Chapter 2 of Mr. Abbott’s book Applied...
Effective Framing of Predictive Analytic Projects
For more from James Taylor, see his presentation on...
Wise Practitioner – Predictive Analytics Interview Series: Richard Boire of Boire Filler Group
In anticipation of his upcoming conference presentation, Predicting Extreme...
Wise Practitioner – Predictive Analytics Interview Series: Sarah Holder of Duke Energy
In anticipation of her upcoming conference presentation, It’s Not...
Infographic – Predictive Analytics World by the Numbers
Predictive Analytics World continues to grow by popular demand....
Wise Practitioner – Predictive Analytics Interview Series: Mohamad Khatib of Nielsen
In anticipation of his upcoming conference presentation, Pizza Analytics...
A Critical Step Toward Organizational Data Maturity: Thinking in Terms of Distributions!
For more from the Josh Hemann, see his presentation...
It is a Mistake to…. Answer Every Inquiry
(Part 9 (of 11) of the Top 10 Data...
Wise Practitioner – Predictive Analytics Interview Series: Dominic Fortin of TD Insurance
In anticipation of his upcoming conference presentation, A Success...
5 Ways Retail Predictive Analytics helps Fashion Retailers Maximize Gross Margin
Fashion retailers have one of the most dynamic environments...
Wise Practitioner – Workforce Predictive Analytics Interview Series: Pasha Roberts at Talent Analytics
In anticipation of his upcoming conference presentation, A Transaction-Based...
Predictive Modeling Skills: Expect to be Surprised
Excerpted from Chapter 1 of Mr. Abbott’s book Applied...
Big Data: To Analyze or Not to Analyze
Much has been written about Big Data and how...
Wise Practitioner – Predictive Analytics Interview Series: Bryan Guenther of RightShip
In anticipation of his upcoming conference presentation, The Impact...
Wise Practitioner – Predictive Analytics Interview Series: Aaron Lanzen of Cisco
In anticipation of his upcoming conference presentation, Integrating Predictive...
Wise Practitioner – Predictive Analytics Interview Series: David Schey of Digitas
In anticipation of his upcoming conference presentation, Uplift Modeling...
It is a Mistake to…. Extrapolate
(Part 8 (of 11) of the Top 10 Data...
Wise Practitioner – Workforce Predictive Analytics Interview Series: Carl Schleyer of 3D Results
In anticipation of his upcoming Predictive Analytics World for Workforce conference...
The Trouble with Numbers
Previous discussions in other publications have often revolved around...
Wise Practitioner – Predictive Analytics Interview Series: Josh Hemann of Activision
In anticipation of his upcoming conference presentation, Cheating Detection in...
Practical Predictive Modeling: Quick Variable Selection
This post is largely excerpted from Dean Abbott’s book...
It is a Mistake to…. Discount Pesky Cases
(Part 7 (of 11) of the Top 10 Data...
Wise Practitioner – Workforce Predictive Analytics Interview Series: Scott Gillespie, Managing Partner of tClara
In anticipation of his upcoming Predictive Analytics World for...
Want to Improve Your Prototype-to-Production Analytics Process? Embrace Thinking Inside the Box
Anyone in the business of analytics knows that the...
Using Decision Trees in Variable Creation: Minimizing Information Loss-Part 1
Numerous articles have been written about the use of...
Predictive Analytics turns Multi Channel Retailing into Omni Channel Retailing.
Multi Channel retailing has existed for a very long...
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, Smarter Remarketer
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 presentation, UPS Analytics...
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 at 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...

Videos from Predictive Analytics World for Business and Healthcare Boston – October 5-9, 2014

sessions are at the All Levels
sessions are at the Expert/Practitioner Level


Keynote: Blackjack Analytics: A Surprising Teacher from Which All Businesses Can Learn
Sameer Chopra, Orbitz Worldwide
*Presentation not available for viewing.

Keynote: Real-Time Modeling of Surgical Site Infections
John Cromwell, University of Iowa Hospitals & Clinics

Keynote: Problems, then Techniques, then Toys. Keeping Your Predictive Analytics Right-side Up
John Foreman, MailChimp

Keynote: Big Data and Clinical Decision Support
Dr. Martin Kohn, Jointly Health

Keynote: UPS Analytics – The Road to Optimization
Jack Levis, UPS
Keynote: Predictive Analytics: Advancing Precision and Population Medicine
George Savage, Proteus Digital Health
Special Plenary Session:
The Power (and Peril) of Predictive Analytics

Dr. John Elder, Elder Research, Inc.
Special Plenary Session:
The Peril of Vast Search (and How Target Shuffling Can Save Science)

Dr. John Elder, Elder Research, Inc.
Expert Panel Expert Panel
Necessary Skills of the Quant: Finance, Fraud, and Marketing
Sameer Chopra, Orbitz Worldwide
Jack Levis, UPS
Thomas Hill, Dell Software Group / StatSoft
Healthcare Analytics: Potential vs. Reality
George Savage, MD, Proteus Digital Health
John Cromwell, MD, University of Iowa
Ken Yale, JD, DDS, ActiveHealth Management
TOPIC: Advertising Effectiveness
Case Study: Baseball Stadiums
TOPIC: Claims Analytics
Case Study: DentaQuest

A Fresh Look at the Effects of Promotion on Baseball Attendance Using Hierarchical Bayesian Analysis

Tyler Deutsch, Northwestern University & Sagence

Improving Provider Performance and Patient Outcomes with Evidence-Based Scoring
Daniel Bailey, Elder Research

Viswanath Srikanth, Northwestern University & IBM

Shaju Puthussery, DentaQuest
TOPIC:
Algorithmic Trading
TOPIC: Deploying Risk Models
Case Study: State of Maine hospitals

Predictive analytics for Asset Managers

Steve Krawciw, Able Markets

Deploying Predictive Patient Risk Models through a Health Information Exchange (HIE)
Devore Culver, HealthInfoNet
TOPIC:
Analytics in Consumer Banking
TOPIC: Disease Modeling
Case Study: Southern Nazerene University

Embedding Predictive Analytics Within the Corporate Culture-What are the Challenges in the Big Data World?

Richard Boire, Boire Filler Group

Developing a Mortality Prediction Model for Disseminated Intravascular Coagulation (DIC)
Linda Miner, PhD, Southern Nazerene University
TOPIC: Analytics Strategy
Case Studies: CFPB, Capital One, Citibank & Bank of America
TOPIC: Healthcare Informatics
Case Study: University of California, Irvine

Spotting the Wisdom in the Noise: Using Data Science to Identify and Eradicate Consumer Concerns

Brandon Purcell, Beyond the Arc

Healthcare 2020: How Emerging Technologies Will Advance Clinical Practice and Research
Charles Boicey, Stony Brook Medicine
TOPIC:
Analytics Tools
TOPIC: Personalized What-if Analysis
Case Study: WA Univ. St. Louis School of Medicine & PotentiaMED

Python for Data Science

Field Cady, Think Big Analytics

Using Predictive Analytics to Empower Cancer Patients through “MyCancerJourney”
Robert Palmer, PotentiaMED
TOPIC: Big Data
Case Study: Sears Holdings Corporation

Jay Piccirillo, Washington University in St. Louis School of Medicine

Hadoop Use Cases: Speeding Up Data Workloads
Andy McNalis, Sears Holding Corporation
TOPIC: Churn Modeling
Case Study: Paychex
TOPIC: Predicting Disease and Infection
Case Study: Baptist Health

Combat Client Churn with Predictive Analytics

Philip O’Brien, Paychex

Predicting the Invisible Patient: Using Predictive Analytics to Reduce Suffering, Save Lives, and Optimize Cost of Care
Katrina Belt, Baptist Health
TOPIC: Churn Modeling
Case Study: nTelos Wireless
TOPIC: Predicting Insurance Costs
Case Study: Pensylvania Department of Public Welfare

Improving Customer Retention & Profitability

John Ainsworth, Elder Research, Inc.
Superutilizers Made Simple. Identifying High-Cost Recipients Using a Model Any Medicaid Agency Could Implement
Aran Canes, Open Minds
TOPIC: Cloud Analytics
Case Study: Verizon
TOPIC: Readmission Risk
Case Study: UPMC Health Plan

Third Generation Contextual Learning as a Service and Consumer Data-Haven Practice

Madhusudan Raman, Verizon

Using Association Rule Mining to Identify Risks for Readmissions
Scott Zasadil, PhD, UPMC Health Plan
TOPIC: Credit Scoring
Case Study: Kabbage
TOPIC:
Resource Optimization

Data Science Approach to Small and Medium Business Lending

Pinar Donmez, Kabbage

Using Predictive Analytics to Forecast Hospital Patient Volume for Hospital Resource Allocation and Staffing
Nephi Walton, MD, Washington University
TOPIC: Customer Satisfaction & Retention
Case Study: Citrix
TOPIC: Targeted Care Management
Case Study: ActiveHealth Management

Predicting Customer Experience Risk in B2B World
Mike Stringer, Madhav Chinta, & Jim Regetz, Citrix Data Science

Significant Improvements in Population Health Management
Ken Yale, JD, DDS, ActiveHealth Management
The remaining videos below are from Predictive Analytics World for Business in Boston
TOPIC: Data Cleansing TOPIC: Data Privacy

Data Preparation from the Trenches: 4 Approaches to Deriving Attributes
Dean Abbott, Abbott Analytics

Predictive Analytics and Privacy by Design
Jeff Kosseff, Covington & Burling, LLP
TOPIC:
Enterprise-wide Deployment
TOPIC: Fraud Detection; Analytics in Gaming
Case Study: Activision

Oracle’s Internal Use of Data Mining and Predictive Analytics
Charles Berger, Oracle

Cheating Detection in Call of Duty
Josh Hemann, Activision
TOPIC: Infrastructure Planning
Case Study: Facebook
TOPIC: Large-Scale Continuous Learning
Case Study: eBay

Managing Large-Scale Infrastructure with Predictive Analytics
Clinton Brownley, Facebook

Importance of Speed and Relevance to eBay and Our Big Data Strategies
Gayatri Patel, eBay
TOPIC: Marketing Attribution
Case Study: LinkedIn
TOPIC:
Persuasion Modeling (aka Uplift Modeling)

Increasing B2B Marketing Contribution through Optimal Marketing Attribution Analysis Techniques
May Xu, Neethi Mary Thomas, Rajat Mishra, Mu Sigma

Pinpointing the Persuadables: Convincing the Right Customers and the Right Voters
Daniel Porter, BlueLabs
TOPIC: Project Risk Assessment
Case Study: State Street Corporation
TOPIC: Risk Detection; Government Applications
Case Study: State Auditor’s Office
How Can Predictive Analytics Help Avoid $1.2 Million in IT Project Development Costs?
Scott Lancaster, State Street Corp.

Risk Analytics Engine at State Auditor’s Office
Kleber Gallardo, Alivia Technology
TOPIC: Targeting Email
Case Study: Ameublements Tanguay
TOPIC: Uplift Modeling
Case Study: Fidelity

Predictive Analytics to the Rescue of Email Marketing
Roger Plourde, Intema Solutions

Uplift Modeling: Introduction, Applications, Comparisons, and Latest Developments
Victor Lo, Fidelity Investments & Bentley University
TOPIC: Workforce Analytics – Retention
Case Study: A Major Financial Services Call Center
TOPIC: Workforce Analytics – Workload Management
Case Study: IBM

Data Science Approach to Reduce Call Center Employee Attrition
Pasha Roberts, Talent Analytics

Data-Driven Transformation in End-to-End Sales Transaction Support
Pitipong Lin, IBM

 

View the 2013 PAW Conference Videos from Boston

 

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