Archives

December 2015

Bank of America Passes Its Stress Test- What This Means for Other Banks

Bank of America Passes Its Stress Test- What This Means for Other Banks

Michael Watson Ph.D Partner
On Dec 11, the Wall Street Journal’s lead article in its Money and Investing Section was on the news that the Bank of America (BofA) passed i...
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White Paper on Data Wrangling for Banking Risk Models

White Paper on Data Wrangling for Banking Risk Models

Michael Watson Ph.D Partner
Fallout from the 2008-2009 financial crisis included the emergence of a new regulatory landscape intended to safeguard the U.S. banking system from...
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Machine Learning and High Quality Potato Chips

Machine Learning and High Quality Potato Chips

Michael Watson Ph.D Partner
I always like learning about new applications of machine learning algorithms to improve operations.  And, I especially like ones that are easy to e...
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Introduction Video to Opex Analytics

Introduction Video to Opex Analytics

Michael Watson Ph.D Partner
Be sure to check out our 2 and 1/2 minute introduction to Opex Analytics.
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Simple Models for Next Day or Next Hour Delivery

Simple Models for Next Day or Next Hour Delivery

Michael Watson Ph.D Partner
(This article first appeared on SupplyChainDigest) When we wrote the book Supply Chain Network Design, we intentionally started with a very simple ...
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November 2015

Podcast:  Big Data Analytics with Aster R

Podcast: Big Data Analytics with Aster R

Michael Watson Ph.D Partner
The popularity of R continues to grow.  However, it can be difficult to use R with large data sets. Diego recently recorded a 6-minute podcast on t...
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6 Modeling Tips from LLamasoft and JLL

6 Modeling Tips from LLamasoft and JLL

Michael Watson Ph.D Partner
  (This article first appeared in SC Digest.) At the same CSCMP talk as Benjamin Moore (covered here), Jason Brewer of LLamasoft (a provider o...
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Five Take-Aways on Natural Gas Trucks from the AB InBev and Owens Corning Talk

Five Take-Aways on Natural Gas Trucks from the AB InBev and Owens Corning Talk

Michael Watson Ph.D Partner
  (This article first appeared on SC Digest.  It was a report from the annual CSCMP Conference) With the current low price of diesel fuel and ...
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Beyond Basic Machine Learning: Modeling Loan Defaults with Advanced Techniques

Beyond Basic Machine Learning: Modeling Loan Defaults with Advanced Techniques

Tim Klabjan
Dodd-Frank Act Stress Testing (DFAST) is now required also for smaller banks with assets less than $50 billion. Simply stated, the test requires a ...
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October 2015

Truckload Market Innovations– A Real Time Index and Uber for Trucks

Truckload Market Innovations– A Real Time Index and Uber for Trucks

Michael Watson Ph.D Partner
Alex Scott recently published an article on real-time index for truckload rates.  (The article is here but you may need to do a free registration t...
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Quick Overview of Theano:  A Popular New Python Library for Deep Learning

Quick Overview of Theano: A Popular New Python Library for Deep Learning

Sam Hillis Data Scientist
In a recent engagement, we were tasked with evaluating sets of time series data at many intervals to determine the health of the system (essentiall...
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Why python can make your decision making process easier

Why python can make your decision making process easier

Mohsen Moarefdoost Ph.D. Operations Research Scientist
If you are dealing with complex, large scale and multi layered systems, you may end up analyzing and solving multiple, even nested, optimization pr...
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Five Supply Chain Design Lessons from Benjamin Moore Paint Company

Five Supply Chain Design Lessons from Benjamin Moore Paint Company

Michael Watson Ph.D Partner
At CSCMP’s annual meeting, I got the chance to listen a talk from Benjamin Moore on how they redesigned their supply chain.  Here were the to...
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Two Supply Chain Design Lessons from Starbucks CEO

Two Supply Chain Design Lessons from Starbucks CEO

Michael Watson Ph.D Partner
The Starbucks CEO, Howard Schultz, spoke at the annual CSCMP event in San Diego a few weeks ago. He made two key observations about the the supply ...
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NFL Fans on Facebook

NFL Fans on Facebook

Cario Lullo
In 2013, Facebook conducted an exploration of the number of Likes received by each NFL team in every U.S. county for each day of the season. The st...
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July 2015

CSV to Spark SQL tables

CSV to Spark SQL tables

Diego Klabjan Partner
Recently we were involved in a project that required reading and importing more than 30 csv files into Spark SQL. We started writing scala code to ...
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City of Chicago and Allstate:  Case Study in Predictive Analytics

City of Chicago and Allstate: Case Study in Predictive Analytics

Michael Watson Ph.D Partner
Yesterday’s Chicago Tribune ran an article on how All State and the City of Chicago are combining existing data sets with predictive analytic...
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June 2015

Top Four Best Practices for Multi-Objective Optimization in Network Design

Top Four Best Practices for Multi-Objective Optimization in Network Design

Michael Watson Ph.D Partner
(This article first appeared in Supply Chain Digest) Let’s start with an example of multi-objective optimization.  The map you see is all the towns...
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May 2015

Caesars Entertainment’s Customer Data is Worth $1B.  How Much is Your Supply Chain Data Worth?

Caesars Entertainment’s Customer Data is Worth $1B. How Much is Your Supply Chain Data Worth?

Michael Watson Ph.D Partner
(Note:  This article first appeared in Supply Chain Digest). A few months back, the Wall Street Journal reported that Ceasar’s “big-data customer l...
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Ford’s $100M Inventory Solution

Ford’s $100M Inventory Solution

Michael Watson Ph.D Partner
Several years ago, I worked on a technical inventory optimization project for a $1.5B consumer products company.  The CEO of this firm attended a f...
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Using Spark to improve performance of large-scale machine learning problems

Using Spark to improve performance of large-scale machine learning problems

Diego Klabjan Partner
One of the biggest hurdles in MapReduce is model calibration for machine learning models such as the logistic regression and SVM (Support Vector Ma...
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April 2015

Which Final Four Game Was Most Exciting?

Which Final Four Game Was Most Exciting?

Bradford Winkelman
Which Final Four game was the most exciting? The question is difficult because any person who has an opinion is likely heavily influenced by person...
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Interactive Twitter Analysis of NCAA Elite 8 Weekend

Interactive Twitter Analysis of NCAA Elite 8 Weekend

Bradford Winkelman
Last Sunday we followed March Madness on Twitter to see what fans and rivals were discussing during the final day of the Elite Eight competitions. ...
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March 2015

Check Out Our Interactive Twitter Dashboard for Your March Madness Teams

Check Out Our Interactive Twitter Dashboard for Your March Madness Teams

Sari Nahmad Data Scientist
We are collecting Twitter data for the NCAA Tournament. We’ll have more to come, but you will like this dashboard. It shows which team has th...
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Text Analytics and Twitter: What can Companies Derive from Social Media and what are the Challenges?

Sari Nahmad Data Scientist
So what can companies expect to derive from social media, in this case Twitter? To give a little background, Twitter is an online social networking...
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Using Transactional Data to Estimate Truckload Market Conditions in Near-Real-Time

Using Transactional Data to Estimate Truckload Market Conditions in Near-Real-Time

Alex Scott
What is the status of the truckload transportation market?  Does demand outstrip supply?  Does supply outstrip demand?  Is the market relatively ba...
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Top Five Rules for Cleaning Data in a Strategic Project

Top Five Rules for Cleaning Data in a Strategic Project

Michael Watson Ph.D Partner
After receiving a lot of feedback on our video interview on data cleaning, we just published an article on Supply Chain Digest on the top five rule...
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Customer Behavior from Web and Text Data

Diego Klabjan Partner
Many sites and portals offer text content on web pages. For example, news aggregators such as The Huffington Post or Google News allow users to bro...
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February 2015

How can Airlines Use Big Data to Better Match Supply and Demand

How can Airlines Use Big Data to Better Match Supply and Demand

Diego Klabjan Partner
Airlines have been one of the first industries to use advanced analytics in areas such as revenue management. “Should a request for a seat be grant...
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Big Data: A Misnomer

Diego Klabjan Partner
Google Trends shows no organic searches for term “big data” until 2011 and an approximately 7-fold increase in the next two years, and then searche...
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Do You Have Clean Data for a Strategic Project?

Michael Watson Ph.D Partner
When doing a strategic analysis, most firms either assume they have exactly the right data.  That is, these firms have ERP systems full of data, da...
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Information Gain based feature selection in Spark’s MLlib

Information Gain based feature selection in Spark’s MLlib

Diego Klabjan Partner
We recently worked on a client engagement that included web data and other customer specific information. It was a propensity analysis type project...
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Analytics at the American Red Cross

Andy Fox Engagement Manager
Since many of the most publicized examples of advanced analytics consider companies in the private sector, we don’t often think about how these tec...
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January 2015

Hortonworks White Paper: The Rise of the Data First Enterprise

Cario Lullo
Recently Hortonworks published the attached white paper on how the advent of big data technologies have given rise to a “new ultra-competitiv...
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Case Study: Sears and Same Day Delivery

Cario Lullo
Northwestern Professor and Partner at Opex Analytics, Diego Klabjan recently authored the following column on same-day delivery and its impact on t...
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