SAS® Forecast Server Boosts Customer Experience and ROI
SAS Forecast Server earned a Product of the Year award from the editors of Technology Marketing Corp.’s Communications Solutions magazine. Each year the magazine bestows the award on companies that have demonstrated excellence in technological advancement and application refinements. Only the year’s most significant new product releases are selected.

“We’re pleased that SAS Forecast Server is receiving this Product of the Year award its first year out,” said Mike Gilliland, Product Marketing Manager at SAS. “SAS Forecast Server helps companies automate and improve forecasting so decision makers can anticipate and meet customer demand, enhance supply chain efficiencies and boost profitability. We’re seeing retailers enhance their merchandise planning and supply chain management systems with the depth of business forecasting capabilities from SAS.” Read more

Forecasting, Econometrics and Time Series Analysis
With SAS forecasting technologies, you can analyze and forecast processes that take place over time. You can identify previously unseen trends and anticipate fluctuations so you can more effectively plan for the future. Factors that affect your business, such as the economy, market conditions, customer demographics and marketing activities such as sales promotions, can be identified, quantified and included in your forecasting processes for improved results. Read more

Radio Frequency Identification Devices (RFID) and SAS
SAS is uniquely equipped to help companies organize, harness, analyze and understand RFID data, as well as data from any other external or internal source. SAS solutions are built on the SAS®9 Enterprise Intelligence Platform, a synergistic platform of data management and analytic technologies that can scale to any size database – even when it contains massive amounts of RFID data. Read more

View the archived Web seminar “RFID: Consider the Possibilities”

See and read about a customer success in action.

Demand Forecasting in Retail
Modern demand-forecasting systems provide new opportunities to improve retail performance. Although the art of the individual merchant may never be replaced, it can be augmented by an efficient, objective and scientific approach to forecasting demand. Large-scale systems are now capable of handling the mass of retail transaction data – organizing it, mining it and projecting it into future customer behavior. Read more

Hbc to Drive Precision Retailing with SAS® Merchandising Software
Hudson’s Bay Company (Hbc), Canada’s largest diversified general merchandise retailer, with department store, mass merchandise, specialty and discount formats, has selected SAS Merchandise Intelligence solutions to support its strategic framework for Precision Retailing. Hbc will implement retail applications from SAS’ portfolio of retail solutions to support its comprehensive approach to merchandise lifecycle planning across Hbc’s banners – The Bay, Zellers, Home Outfitters and Designer Depot. Read more

SUBWAY® Restaurant Chain Stays Fresh and Healthy with SAS’ Powerful Analytics
SUBWAY restaurants, North America’s largest restaurant chain, is using SAS Enterprise BI Server to assess costs and analyze store performance. SUBWAY restaurants, with more than 25,000 locations in 83 countries, chose SAS because of its proven reputation for working with the extraordinarily large volumes of data generated in the restaurant business. Read more

The 3rd Annual Retail Pricing Summit
October 11 – 12
Chicago
EyeforRetail brings you two and a half days of focused discussion, networking, workshops and debates, all aimed at addressing your key pricing challenges. Hear from top tier-one retailers, such as Best Buy, Lowes Foods, Office Depot, OfficeMax, AAFES, Fred’s Inc., Ace Hardware, AutoZone, O’Reilly Auto Parts, Pep Boys, and many more leading experts on retail pricing, including Alexi Sarnevitz, Senior Director of Retail Strategy at SAS and a former retail executive and industry analyst. Quote RPSAS when you register and get a 20 percent discount on the conference registration price.

SAS Presents BetterManagement LIVE Business Conference
Oct. 25 – 26
Las Vegas
Join industry thought-leaders and your peers to learn how leading organizations are evolving their business practices and enhancing performance through more informed, forward-looking strategies and improved processes. Industry focus tracks include banking and insurance. This conference is for Director-level and above titles with revenues of $500 million or more. Find out more.

NRF 96th Annual Convention and EXPO
Setting Retail In Motion
Jan. 14 – 17, 2007
New York
Join 15,000 attendees from 42 countries and be a part of the motion, the action and the excitement. Retail’s BIG Show is your portal to a wide and diverse range of educational opportunities on everything from retail marketing to merchandising to supply chain and technology issues and more!

Focus on SAS® Enterprise BI Server
On-Demand Web Seminar
Extend the capabilities of SAS Enterprise BI Server and reveal the many facets of your data – with fast, easy access to multiple data sources, consistent and credible reporting, simple deployment of information for all user levels, and accurate, reliable insights. View now

SAS Forecasting Web Series
On-Demand Web Seminars
Join us for three Web seminars that discuss the pros and cons of injecting judgment into the forecasting process, and gain a better understanding of how to eliminate the flaws that sacrifice accuracy and efficiency.

SAS for Forecasting Time Series, Second Edition
In this second edition, John Brocklebank and David Dickey show you how SAS performs univariate and multivariate time series analysis. Taking a tutorial approach, the authors focus on the procedures that most effectively bring results: the advanced procedures ARIMA, SPECTRA, STATESPACE and VARMAX. With this book, you will learn to model and forecast simple autoregressive (AR) processes using PROC ARIMA, and you will learn to fit autoregressive and vector ARMA processes using the STATESPACE and VARMAX procedures. Read more

Have a question, comment or suggestion? Want to see something covered in the next SAS Retail News? Simply e-mail the editor.