| SGF |
2019 |
Nestl Brazil Case: Demand Planning using SAS Forecast Server and SAS Enterprise Guide |
Marcos Frossard Borges |
source |
7 |
| SGF |
2018 |
Building Revenue Management Decision Support Platforms with SAS |
Eric Schmidt |
source |
6 |
| SGF |
2018 |
Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures |
Gerhard Svolba |
source |
26 |
| SGF |
2016 |
Designed to Fail: Approximately Right vs Precisely Wrong |
Pratapsinh Patil,
Aaron Raymond,
Sachin Verma |
source |
7 |
| SGF |
2015 |
"Out Here" Forecasting: A Retail Case Study |
Chris Houck |
source |
9 |
| SGF |
2015 |
Sensing Demand Signals and Shaping Future Demand Using Multi-tiered Causal Analysis |
Charlie Chase |
source |
8 |
| SGF |
2014 |
Doubling Down on Analytics: Using Analytic Results from Other Departments to Enhance Your Approach to Marketing |
Natalie G. Osborn,
Eric Peterson |
source |
6 |
| SGF |
2014 |
How Predictive Analytics Turns Mad Bulls into Predictable Animals |
Marcel Baumgartner |
source |
5 |
| SGF |
2013 |
Vehicle Retail Forecasting Demand and Inventory Management Case Study at Shanghai General Motors |
Christina Zhong |
source |
7 |
| SGF |
2012 |
Variable Selection for Multivariate Cointegrated Time Series Prediction with PROC VARCLUS in SAS Enterprise Miner 7.1 |
Akkarapol Sa-ngasoongsong,
Satish T. Bukkapatnam |
source |
12 |
| SGF |
2011 |
Demand Sensing via C-B4 Pattern Analysis and SAS Forecast Server |
Irad Ben-Gal |
source |
4 |
| MWSUG |
2008 |
A Toolbox of Technologies: Integrating SAS Applications with Flash Multimedia Incorporating HTML, and JavaScript |
Tony Goodman,
Terry Miller,
Jeff Agnew |
|
9 |
| SEUGI |
2003 |
Addressing the challenges of achieving accurate demand forecasts in competitive energy markets [presentation] |
Nigel Lewis |
source |
37 |
| SEUGI |
2003 |
Demand-Driven Strategies for Increased Profitability: SAS Demand Intelligence (Part 2) [presentation] |
Udo Sglavo |
source |
25 |
| SEUGI |
2003 |
Intelligence at the Heart of Retail [presentation] |
Chris Dunk |
source |
38 |
| SEUGI |
2003 |
SAS Demand Intelligence [presentation] |
Udo Sglavo |
source |
27 |
| SEUGI |
2003 |
SAS Manufacturing Intelligence Platform [presentation] |
Alexander Dahne |
source |
28 |
| SEUGI |
2003 |
SAS Supply Chain Intelligence - Or how to manage the Flood [presentation] |
Gerhard Held |
source |
37 |
| SEUGI |
2000 |
Purchasing Budget & Price Evolution: tow innovative projects of Closed Loop implemented by the Liebert-Hiross group using the SAS System Technology [presentation] |
Andrea Provini,
Bruno Marelli,
Leonardo Flora |
source |
5 |
| SEUGI |
2000 |
Supply Chain Optimization and Planning [presentation] |
Patrick Xhonneux |
source |
47 |
| SEUGI |
1999 |
Supply chain management a new challenge for SAS data warehousing [presentation] |
Pascal de Poorter |
source |
33 |
| SUGI |
1994 |
Making the Crystal Ball Clearer: Using the SAS System to Develop a User-Oriented Demand Forecasting System |
Michael F. Reed |
source |
2 |
| SEUGI |
1993 |
Using the SAS System within SWEB's Commerical Division |
Mark Owen |
source |
4 |
| SUGI |
1993 |
Integrating Decision Support |
Jo Fisher,
Marco Mongalo |
source |
5 |
| SCSUG |
1991 |
The ALLOTT Model: A PC-Based Approach to Demand Distribution for Siting and Planning |
Elise M. Bright,
Parviz Nazem |
|
12 |
| SUGI |
1985 |
Forecasting Residential, Commercial, and Industrial Gas Demand |
Jeff Brand,
Jim Funk |
source |
6 |
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