Phil Pfeifer Data Analysis and Optimization Webpage of Fame

  • Celebrating summer successes since 2006

    Hollywood has the Walk of Fame, the National Hockey League has the Hall of Fame… and the DAO course has its Webpage of Fame!

    The DAO Webpage of Fame has been celebrating the summer successes of Darden students since 1996. Each year upon completing their summer internships, DAO students are encouraged to describe how they used the tools learned in DAO to make a real difference for their respective companies. A panel of judges selects the best submissions for induction into the Webpage of Fame.  

    See below for the most recent enshrines, and click the links for more detail or to see the earlier enshrines.

  • Bergen DAO PhotoPeter Bergen

    Enshrinement Year: 2016
    Company: Microsoft Corporation
    Category: Pivot Tables

    During his internship, Peter Bergen used pivot tables to quantify customer feedback on Delve Analytics (a new Office 365 app). Peter interviewed 50 customers and amassed nearly 100 hours of interview transcripts and created a three-tiered coding scheme to assign personas and business-problem scenarios to key quotes gathered during the interviews. This approach helped Microsoft decision-makers quickly identify top-customer needs and gaps in the product experience.

    Branham DAO PhotoAdam Branham

    Enshrinement Year: 2016
    Company: Accenture
    Category: Pivot Tables

    Adam used his DAO skills to identify over $4M in potential annual cost savings for a large consumer-goods company which outsources its manufacturing.

    Product cost data for each of the company’s SKUs were organized via individual line item costs.  Across over 5,000 SKUs and sometimes 10+ quote revisions, data sets were consistently 100,000+ lines by 50+ columns, and essentially meaningless to the layperson. Adam modeled adjustments to individual line item costs based on changes in labor and material markets and used pivot tables to aggregate all cost changes across an individual SKU.  Combined with sales forecasts, he was able to quantify annualized cost savings opportunities by product type, brand, and MSRP. At summers end, Adam presented his findings to one of the company’s SVPs and they were later used to negotiate with the firm’s international vendors.

    Cole DAO PhotoWilliam (Chad) Cole

    Enshrinement Year: 2016
    Company: An Albemarle County Elementary School
    Category: Optimization

    Before starting an internship with Jefferies, Chad used his free time to design a linear optimization model that helped his wife Kellee assign students to second-grade classrooms for the upcoming year. Kellee, who was following her students from first to second grade, needed to collaborate with five co-workers to re-organize all six classes to make sure each teacher had a balance of genders, racial diversity, learning abilities, and behavior skills. After seeing in DAO how Darden uses Solver to assign incoming first years to class sections, Chad set out to build a similar excel model that used “Open Solver” to help his wife and co-workers effortlessly optimize classroom assignments. 

    Chad’s expandable, 720 decision-variable model enabled teachers to easily upload basic information about students into an excel template where solver automatically assigned students to a teacher. Users of the model could manually override the assignments as needed, refresh the optimized class lists using VBA scripts, and instruct excel to split or keep intact specific groups of students to customize the output. This model saved the overworked teachers significant time and stress, and generated perfectly (and objectively) optimized classroom assignments.

    Korte DAO PhotoKristopher Korte

    Enshrinement Year: 2016
    Company: Corning
    Category: Pivot Tables and Data Visualization

    Kristopher Korte investigated the attractiveness of applying Corning’s existing fiber optic technology to an adjacent market. Using pivot tables and data visualization, he was able to extract meaningful market trends from over a million unique data points (thousands of rows and hundreds of columns). His findings disproved initial company hypotheses and led to a smaller market than originally expected.

    Equipped with a better understand of the market, Kristopher was able to develop market size and market share forecasts using predictive analytics, Monte Carlo methods, and the Fisher-Pry model. Results implied that the market had potential but was at early stage of maturity and should be monitored rather than entered. He then used a tornado chart to identify the most influential modeling assumptions in order to develop an entrance strategy. Coupled with a stakeholder analysis, Kristopher was able to identify ways Corning could influence the market and accelerate market maturity (growth along the s-curve).  

    Shrestha DAO PhotoPratik Shrestha

    Enshrinement Year: 2016
    Company: Fortive Corporation/Gilbarco Veeder-Root
    Category: Pivot Tables and Optimization

    Leveraging data generated from the internal Cisco phone system, Pratik Shrestha created and implemented a queuing theory based operational model to recommend how to best re-assign duty hours of 100+ call-center agents. This model enabled the Gilbarco call-center manager to make data-driven decisions with respect to the reassignment with the goal of reducing customer wait time.

    Sinha DAO PhotoAmal Sinha

    Enshrinement Year: 2016
    Company: A Major Hospitality Company
    Category: Regression

    Using data collected by the company’s mobile app (over 3 TB per day), Amal used multiple regression to explore the relationship between time spent on each of the app’s four pages (home page, search results, hotel details, and reservation summary) and whether the visit resulted in a successful booking.  The modeling identified which page(s) were most in need of improvement and why.

    2015 Inductees 

    Aggarwal photoMayank Aggarwal

    Enshrinement Year: 2015
    Company: Gilead Sciences
    Category: Pivot Tables

    Mayank Aggarwal used pivot tables and data visualization tools to examine the relationship between increases in out-of-pocket cost to patients and subsequent abandonment of one of the company’s top branded drug. Mayank went on to quantify the value lost due to the increased abandonment rate and identify the Medicare payers responsible for the most lost business in order to take appropriate corrective action.  [ MORE ]

    Bala photoRathi Bala

    Enshrinement Year: 2015
    Company: M&T Bank
    Category: Pivot Tables

    During her internship, Rathi Bala completed a first-ever analysis of the performance of the bank’s financial investigations unit. After some arduous data cleansing and report generation using pivot tables, she uncovered enough valuable insights that she ended up presenting them directly to the bank’s CRO (Chief Risk Officer). Her recommendations are projected to reduce cycle time by 36% and eliminate the existing backlog of work within two months.  [MORE]

    Bicksler photoGreg Bicksler

    Enshrinement Year: 2015
    Company: AT Kearney
    Category: Optimization

    Greg Bicksler built a 22,000 decision-variable linear-programing model to recommend how a client could best re-assign 10,000+ stores to 20+ distribution centers located across the US given the client’s recent acquisition of a competitor. The re-assignment substantially reduces shipment miles resulting in significant (but confidential) dollar savings.

    Breck photoMorgan Breck

    Enshrinement Year: 2015
    Company: American Express
    Category: Pivot Tables and Inference

    Morgan Breck used her DAO skills to match millions of transaction records to Corporate Platinum Card Members in order to examine the relationship between card benefit usage and retention. The statistically significant difference she found in benefit usage between retained and downgraded members quantitatively justified (for the first time) her group’s continuing investment in benefits.

    Wang PhotoZhiyuan (Jerry) Wang

    Enshrinement Year: 2015
    Company: Compare.Com
    Category: Pivot Tables

    Jerry Wang applied pivot tables to a big database in which each record represented the purchase of an auto insurance policy using compare.com (the Expedia of auto insurance).  His purpose was to help the firm understand how and why revenue-per-sale varied across states, suppliers, and the ages of the purchasers. His presentation at summer’s end to the CEO and heads of departments will help evaluate the value of different types of customers and shape company strategy.

    About the DAO Webpage of Fame

    Professor Phil Pfeifer taught at the Darden School in the Quantitative Analysis area from 1980–2017. He initiated the Data Analysis Optimization (DAO) Webpage of Fame to recognize students who, as summer interns, found opportunities to apply learnings from the First Year “Decision Analysis” course and “Data Analysis and Optimization” course, which he developed and taught for many years. The DAO Webpage of Fame has been celebrating the summer successes of Darden students since 1996. A panel of judges selects the best submissions for induction into the Webpage of Fame.

    Pfeifer’s focus on Qualitative Analysis and the DAO course in particular led him to establish the competition and ensure it continued as a beloved Darden tradition. A shining example of Darden’s highly engaged and accessible faculty, Pfeifer has provided support for students during their internships and encouraged learning growth beyond the classroom. Phil retires in 2017, and will be greatly missed.

    Pfeifer was extremely dedicated to his students. As one illustration, a student working as a summer intern for a major consulting firm reported back about a project in which he was working along with two interns from other top business schools. As they debated a tricky issue, the Darden student offered to e-mail Professor Pfeifer for advice.  The other interns were incredulous that he could do such a thing. Pfeifer responded immediately.

    About the Course

    The Data Analysis and Optimization (DAO) first-year elective prepares students to perform quantitative analysis at a level consistent with (or exceeding) expectations for MBA interns by exposing students to a variety of tools in business analytics and management science. Those tools include data analysis, statistical inference, generalized linear regression models, data visualization, and time series, as well as a suite of optimization methods.

    This elective attracts about 130 of Darden’s 300+ first-year students and, like most first-year electives, is also offered in the second year. Taking DAO has historically been a signal of student’s above-average performance at Darden. In 2006-2011, approximately 80% of Shermet Award winners elected to take DAO in the first year.

    The DAO course is currently taught by Phil Pfeifer

    Erzinger photoMartin Erzinger

    Year Inducted: 2014
    Company:
    DuPont Pioneer 

    With the help of company statisticians, Martin built a LOGISITC REGRESSION model to predict which potential customers (owner/operators of large US corn and soybean farms) would be most interested in Dupont Pioneer’s new precision agriculture software package, called Encirca℠ Yield. Encirca℠ Yield allowed farmers to use nitrogen (the second largest cost beyond the seeds themselves) more efficiently, and Martin’s model allowed Pioneer to deploy a new statistical ranking dashboard to its salesforce across the 12 major US corn states. [ MORE


    2014-07-20 19.49.29Sasha Friedman

    Year Inducted: 2014
    Company: A Large Logistics Company

    Sasha Friedman developed a set of variables and weight-and-rate method for identifying the global shipping lanes for which multi-modal freight services (those that use some combination of ocean and air) were most promising for the company to explore and develop.  [ MORE]

    Vaibhav LaddhaVaibhav Laddha

    Year Inducted: 2014
    Company: A Large E-tailer

    Vaibhav used regression analysis to create a more effective metric for measuring the performance of the firm's hourly associates. Because the improved metric more correctly measures performance, it will eliminate the acknowledged game playing among the associates and lead to better promotion and termination decisions.  [ MORE]

    mollengarden photoJason Mollengarden

    Year Inducted: 2014
    Company: Bain and Company

    Jason used regression analysis to help a large manufacturing company understand the predictors of the profitability of its individual customers. The regression residuals identified customers deserving special attention, and the model will be used to guide future customer acquisition activities.  [ MORE]

    Archana _RaoArchana Rao

    Year Inducted: 2014
    Company: The Boston Consulting Group

    Archana used pivot tables to summarize/analyze 50 educational performance variables for 200+ countries over a 480 month period and group the countries into clusters. Within each cluster, she used regression analysis to uncover the determinants of literacy rates and created an interactive tool to be used by educational ministries around the world to benchmark and improve their educational policies. The tool will be introduced at the DAVOS 15 conference.  [ MORE]

    Saxton photoWill Saxton

    Year Inducted: 2014
    Company: PricewaterhouseCoopers

    Will used pivot tables to identify hundreds of millions of dollars in potential savings for one of the country’s largest purchasers of household moving services. Those savings will accrue through the bundling of the near-simultaneous moves of multiple households between common pairs of cities.  [ MORE]



    Andrew KritzerAndrew-Kritzer

    Year Inducted:  2012
    Company: LinkedIn (Mountain View, CA)
    Category: Data visualization, Regression

    LinkedIn is using the power of big data to connect talented individuals with economic opportunity. Today, the largest portion of LinkedIn's revenue comes from a flagship Software-as-a-service (SaaS) product designed to help recruiters identify and recruit candidates. The software offers advanced search, time-saving contact, and collaboration features above and beyond ordinary premium subscriptions.  [ MORE]

    Chris LawrenceChris-Lawrence

    Year Inducted:  2012
    Company: Cushman & Wakefield (Washington, DC and Arlington, VA
    Categories: Pivot tables, time series models, multiple regression

    Chris worked in the Corporate Finance group at Cushman & Wakefield, a real estate services firm with a customer base ranging from small businesses to Fortune 500 companies. The Corporate Finance group provides consulting services for global corporations that need help optimizing their real estate portfolios and deciding when, where and how to change their real estate footprint.  [ MORE]


    Nathan (Nate) WeirNathan-Weir

    Year Inducted:  2012
    Company: The Washington Post (Washington, DC)
    Categories: Pivot tables, data visualization (leading to risk analysis)

    Nate's job this summer was to analyze a project that The Washington Post was contemplating launching into a new business. To understand this business, the first portion of the analysis was to determine the market size. He used pivot tables and data slices to summarize unstructured industry data (over 40k rows) about different markets. He took this information and divided it into strategic subgroups for market sizing, then used it as a constraint in the financial modeling.  [ MORE]

    Liz TangLiz Tang Image

    Year Inducted:  2012
    Company: Target (Minneapolis, MN) 
    Category: regression, statistical inference

    Target’s ability to value an entire market of current and future stores has become more coveted as big box retail stores saturate the United States.  Being able to value an entire market could help Target plan it prioritize markets and plan its build out strategy within each market.  Liz’s first goal was to identify how much sales Target could get from a market if they built out to saturation.  [ MORE]


    Saul WallerSaul Waller Image

    Year Inducted:  2012
    Company: Tough Mudder (Brooklyn, NY)
    Category: logistic regression

    Tough Mudder is a company that puts on military style obstacle course endurance events, a video on the company’s website front page [www.toughmudder.com] shows what these events are. Started only in 2010 by 2012 it had almost half-a-million participants (customers) attending its events, and projected revenue around $70M.  [ MORE]

    Luis ArrascueLuis Arrascue Image

    Year Inducted:  2012
    Company: Interbank (Lima, Peru)
    Category: multiple regression, histograms

    Interbank is the fourth-largest bank in Peru focusing primarily on retail banking with some 250 branches all over the country.

    Luis’s job this summer was to help Interbank understand how profitable a given branch could be given its location, area demographics, size, opening hours and other characteristics of the local business environment. [ MORE

    Ryan PoppRyan Popp Image

    Year Inducted:  2012
    Company: LivingSocial (Washington, DC)
    Category: regression

    In just under three years, LivingSocial has run around 85,000 deals across more than 300 US and Canadian markets.  Traditionally, Sales has relied on 50% commission as a starting point when inking new merchants.  Furthermore, they’ve depended only on the revenue side of deals (or “net revenue” which is their actual take from the deal) and have neglected the costs.  [ MORE]


    Jennifer McGeeJennifer McGee

    Year Inducted:  2012
    Company: A.T. Kearney (Washington, DC)
    Category: Pivot tables, regression

    Jennifer worked in a strategic sourcing role with a global food and beverage client.  She evaluated two different initiatives for the client to determine which could have the greater financial impact on 2012 cost savings.  [ MORE]


    Tripper DicksonTripper Dickson

    Year Inducted:  2011
    Company: Norfolk Southern
    Category: Optimization

    As a necessary part of shipping intermodal freight, Norfolk Southern’s (NS) customers reposition their empty containers around the country in order to move them to markets where the freight is reloaded for shipment. Customers reposition these empties without regard to NS cost structure.  In order to capture the loaded freight business, NS was shipping such empty containers at special low rates and was incurring significant losses on this aspect of the business. [ MORE]


    Paul RhynardPaul Rhynard

    Year Inducted:  2011
    Company: McKinsey & Co
    Category: Optimization with binary variables

    In periods of excess market capacity, Paul’s client did not properly utilize its six production facilities: all facilities continued to run at slower rates regardless of the financial impact and without considering alternate asset optimization strategies.  [ MORE]


    Ryan McCollumRyan McCollum

    Year Inducted:  2011
    Company: Accenture
    Category: Time series forecasting, regression, pivot tables

    Ryan worked for Accenture in their Supply Chain Management Consulting practice where his client was a major cable provider in the US. Ryan’s task was to improve client’s forecast accuracy for cable boxes: low forecast accuracy has been driving excess equipment purchases and unnecessary inventory levels. [ MORE]


    Whit WalkerWhit Walker

    Year Inducted:  2011
    Company: CNN.com
    Category: data reporting, pivot tables, optimization

    Whit worked for CNN.com’s Internal Strategy Group, focusing on Product Strategy & Partnerships. This group did not have an accurate picture of the value exchange between CNN.com and 18 strategic partners that provide content to the “highest margin” sections that are essential to CNN Digital’s long term growth. [ MORE]


    Katherine Gordon MurphyKatherine Gordon Murphy

    Year Inducted:  2011
    Company: UPS
    Category: Hypothesis testing, Pivot Tables, Monte Carlo simulations

    Kate interned at UPS where she performed a strategic assessment of the international dangerous goods (IDG) shipping market. To date there is no central tracking of the movement of dangerous goods and UPS wanted to know the size, potential and its share in the IDG market. To estimate the market size, Kate used a global trade database and worked with experts to estimate what percentile range of each commodity was hazardous. She then ran a Monte Carlo simulation which produced risk profiles (histograms) of the complete IDG market size.  [ MORE]

    Ilya TeslenkoIlya Teslenko

    Year Inducted:  2011
    Company: Navy Federal Credit Union
    Category: Time Series Analysis, Linear regression, Optimization

     Over the summer Ilya worked in the Lending Department to improve the forecasting models of losses in consumer portfolio. The current approach was to first forecast the outstanding balance of the portfolio, and then use another model to forecast the loss as a percentage of the balance. This forecasted loss percentage was applied to forecasted portfolio balance to get the absolute loss number.  [ MORE]

    Brandon SmitBrandon Smit Resized

    Year Inducted:  2010
    Company: Amazon.com
    Categories: Linear Regression, Optimization

    Over the summer, Brandon Smit worked for the Shoes In-Stock Management team at Amazon.com on two projects: the Site Merchandise Forecasting Model and the Liquidation Model.   [ MORE]

    Charles (Chip) HoggeChip Hogge

    Year Inducted:  2010
    Company: Deloitte
    Categories: Pivot Tables, Optimization

     Chip Hogge worked with the domestic expatriate operations of a leading health insurance provider. The client did not have an accurate picture of its organizational processes or how resources were allocated across 15 business units and 10 global locations. In order to transition to a more competitive cost structure without sacrificing service levels, the client needed to determine ”who is where” and ”who does what” to facilitate an organizational and business process redesign.  [ MORE]

    Stefan TalmanStefan Talman

    Year Inducted:  2010
    Company: Delta Airlines
    Category: Regression 

    Stefan Talman worked in Delta Airlines’ Revenue Management department. Because its existing inventory demand forecasting system was based on historical data, it couldn't capture/plan for the demand upswings for new large events. For example, because the Super Bowl is in Honolulu (airport code HOU) this year, demand forecasting for flights to HOU based solely on historical data would be clearly inaccurate. Stefan used multiple regression to describe the change in revenue for the days before and after an event (accounting for day-of-week and seasonal effects) using a set of independent variables (event size, market share, airport size, event type, etc.)   [ MORE]

    Bryan LieberBryan Lieber

    Year Inducted:  2010
    Company: Target
    Categories: Pivot Tables

    Although Target had high-level chain-wide visibility into the future profitability of its Pharmacy business, it did not have a good understanding of how the Pharmacy P&L varied across each of its nearly 1,600 stores. Using pivot tables, Bryan Lieber analyzed historical prescription ("script") sales data by store to understand what store characteristics (store size, age, region/geography, etc.)   [ MORE]

    Geoffrey CoffieldGeoff Coffield

    Year Inducted:  2010
    Company: BCG
    Categories: Data Reporting, Pivot Tables

    Geoff Coffield worked with the manufacturing IT group of a large pharmaceutical company on two projects. In the first project, he was tasked with figuring out how and where money was being spent on contract employees and identifying opportunities for savings. From the company’s disorganized data, he created large pivot tables and charts using translation matrices. [ MORE]

    Ryan RaybornRyan Rayborn

    Year Inducted: 2009
    Company: Coca-Cola
    Category: Regression and Pivot Tables

    The forecasting system Ryan Rayborn constructed to predict sales of Coke products in Target stores outperformed their legacy system and is currently being subjected to side-by-side testing prior to roll out.  [MORE]


    Benjamin PotterBenjamin Potter

    Year Inducted: 2009
    Company: Geico
    Category: Regression

    Ben Potter used regression analysis to make inferences about the extent to which lower prices led to higher online sales for Geico relative to Progressive.  [MORE] 


    Josh BurkeJosh Burke

    Year Inducted: 2009
    Company: Campbell
    Category: Pivot Tables

    To quickly and accurately quantify the benefits to Campbell Soup of implementing his suggestion to classify correctly that portion of trade liabilities that are non-current, Josh Burke applied a pivot table to data on the prior year’s 60,000 separate trade promotions.   [MORE] 


    Kevin GraneyKevin Graney

    Year Inducted: 2009
    Company: Natural Resource Partners
    Category: Time Series

     Natural Resource Partners (one of the country’s largest owners of US coal properties) used to conduct simple best case/best guess/worst case analyses of projects until Kevin Graney came along and showed them how to use Crystal Ball to simulate a complete time series of future coal prices. The new, more sophisticated, approach allows NRP to better quantify the value of projects –especially those involving contingent contracts.   [MORE] 


    Sihartha SinhaSidhartha Sinha

    Year Inducted: 2009
    Company: Merkle
    Category: Optimization

    To decide how best to process 150+ million pieces of mail each day, Sid Sinha built Merkle a Solver optimization model.  [MORE] 


    Roberto BrillembourgRoberto Brillembourg

    Year Inducted: 2008
    Company: Kraft Foods
    Category: Regression

    Roberto Brillembourg used regression analysis to help Kraft Foods measure the effectiveness of its TASSIMO coffee continuity program in increasing consumption of TASSIMO coffee.  [MORE] 


    Shankar RajaShankar Raja

    Year Inducted: 2008
    Company: BCG
    Category: Pivot Tables

    During his summer internship with BCG, Shankar Raja segmented the US healthcare market using Pivot Tables and developed a comprehensive, market based, bottom-up revenue forecast to inform the post-merger, strategic planning of a client firm.   [MORE] 


    Anand RaoAnand Rao

    Year Inducted: 2008
    Company: Bain
    Category: Pivot Tables

    During his internship with Bain, Anand Rao used pivot tables to create first-ever organizational charts based on the reporting relationships and cost center assignments contained in a client firm’s 2500-record employee database.  [MORE] 


    Christopher RichinsChristopher Richins

    Year Inducted: 2008
    Company: Bain & Company
    Category: Regression

    To help a client firm price its transportation offering, Christopher Richins used regression analysis during his internship with Bain & Company  to build a model forecasting refrigerated trucking rates for shipping produce across the U.S.  [MORE]


    Will TeichmanWill Teichman

    Year Inducted: 2008
    Company: Target
    Category: Regression

    In the process of creating Target’s first inventory of water consumption across all facilities, Will Teichman used regression analysis to identify the primary drivers of water usage for the purposes of prioritizing future water-saving initiatives.   [MORE] 


    Anand VeeraraghavanAnand Veeraraghavan

    Year Inducted: 2008
    Company: 
    Category: Optimization

    In order to select the best options for growth across five business units of an Indonesian energy company, Anand Veeraraghavan used a stochastic optimization model (built using Crystal Ball’s Optquest) that accounted for 25 key uncertainties and linkages across the business units.  [MORE] 


    Sarah GlassSarah Glass

    Year Inducted: 2007
    Company: Merck/Schering-Plough
    Category: Pivot Tables and Regression

    Sarah Glass used Pivot Tables at Merck to consolidate patient-level prescription data for the $2B cholesterol drug ZETIA into 30+ sources of business as the basis for her regression-driven, bottom-up sales forecast.   [MORE] 


    Alex HolsenbeckAlex Holsenbeck

    Year Inducted: 2007
    Company: Embarq
    Category: Regression

    Alex Holsenbeck used regression to forecast stock-option exercise rates as a key component of his Crystal Ball model to forecast cash proceeds, taxes, and share dilution resulting from EMBARQ’s outstanding options.  [MORE] 


    Bobby JordanBobby Jordan

    Year Inducted: 2007
    Company: PRTM 
    Category: Pivot Tables

    Bobby Jordan used pivot-table generated daily performance metrics to both guide and validate performance improvements his consulting team implemented for a distribution center shipping [MORE] than $120M annually.   [MORE] 


    Kevin KosefeskiKevin Kosefeski

    Year Inducted: 2007
    Company: Danaher
    Category: Optimization

    Kevin Kosefeski used Solver to identify the optimum production schedule for a Danaher factory in China making hand-held digital test strip readers.   [MORE]  


    Gautam SukumarGautam Sukumar

    Year Inducted: 2007
    Company: Dell
    Category: Pivot Tables

    Because Gautam Sukumar used pivot tables to summarize the profitability of over 500K orders filled by Dell, the company now has an accurate understanding of configuration profitability.”    [MORE] 


    Saul YeatonSaul Yeaton

    Year Inducted: 2007
    Company: Target
    Category: Inference

    Saul Yeaton used data analysis to convince TARGET that the 75% higher cosmetic sales in stores with in-store beauty advisors was due, for the most part, to how the advisors were assigned to stores.    [MORE] 

    Christopher LangbeinChris Langbein

    Year Inducted: 2006
    Company: ConocoPhillips
    Category: Regression

    Chris Langbein used regression to forecast monthly working capital 
    needs for ConocoPhillips.  [MORE] 


    Michael LorenceMichael Lorence

    Year Inducted: 2006
    Company: L-3 Vertex Aerospace
    Category: Regression

    Mike Lorence showed L-3 Vertex Aerospace how to use logistic regression and decision analysis to decide which projects to pursue.  [MORE] 

       

    Douglas PolenDouglas Polen

    Year Inducted: 2006
    Company: Titan Virginia Ready-Mix
    Category: Regression

    Douglas Polen used regression analysis to determine the true source of profitability for Titan Virginia Ready-Mix’s business.   [MORE]


    Brian McCahillBrian McCahill

    Year Inducted: 2006
    Company: Danaher
    Category: Optimization

    Brian McCahill built an optimization Excel model the Danaher Corporation used to create a manufacturing strategy for a new $100MM OEM program.   [MORE]


    Matthew KirbyMatthew Kirby

    Year Inducted: 2006
    Company: Home Depot
    Category: Pivot Tables

     Matt Kirby used a Pivot Table to help Home Depot save millions of dollars.  [MORE] 


    Rick RamseyRick Ramsey

    Year Inducted: 2006
    Company: Gilbarco
    Category: Time Series

     Rick Ramsey built a time series forecasting model to help Gilbarco forecast monthly sales of its main product, gas dispensers.   [MORE]