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                                              SAS Demand-Driven Forecasting
                                                     ®




                                              Maximize profitability, market share and customer satisfaction


                                              Today, most companies use legacy           With SAS Demand-Driven forecasting,
What does SAS Demand-Driven
                  ®

                                              ERP/SCM solutions that are workflow-       you can:
Forecasting do?                               based with little emphasis on analytics,   •	 Harness	your	existing	data	with	pow-
SAS Demand-Driven Forecasting drives          resulting in inaccurate forecasts. This       erful analytics through a user-friendly
the development of the consensus              process is resource-intensive, time con-
forecast in conjunction with the S&OP                                                       interface.
                                              suming and is driven solely by domain
process. Featuring not only scenario                                                     •	 Build	a	workflow	designed	around	
modeling, but a new demand plan-              knowledge and biased judgment.
                                                                                            your processes.
ning workbench to support advanced
consensus forecasting, it provides scal-      Using inappropriate systems can put        •	 Use	business	intelligence	to	drive	
ability, automation, depth and a breadth      your organization at a competitive            what-if analysis and disseminate the
of advanced analytics to aid the demand                                                     results across your organization to
                                              disadvantage and prohibit you from
forecasting and planning process.
                                              driving top-line growth and fulfilling        make better decisions.
Why is SAS Demand-Driven
              ®
                                              customers’ needs. With appropriate         •	 Shorten	the	time	it	takes	to	drive	your	
Forecasting important?                        technology, organizations can become          supply chain and realize significant
SAS Demand-Driven Forecasting com-            demand-driven by incorporating                savings in time and money.
bines the power of automation, analytics      customer demand signals and market         •	 Support	a	formal	S&OP	process	with	
and workflow to generate an unbiased          trends in the demand plan accurately,         strong methodologies that incorpo-
accurate consensus forecast on a large-       frequently and in real time – while
scale basis. Using what-if analysis capa-                                                   rate an understanding of organiza-
                                              anticipating demand variability to            tional dynamics.
bilities, you can adjust forecasts based
on a structured process that incorporates     remove the threat to profit margins.
data and analysis – rather than pure                                                     Key Benefits
judgment – to enhance the accuracy of         SAS combines the power of automa-
your forecasts.                                                                          Improve statistical forecasting
                                              tion, analytics and workflow to generate
                                                                                         accuracy across the product hierarchy
                                              the most unbiased and accurate
For whom is SAS Demand-Driven
                      ®

                                                                                         SAS’ patented statistical forecasting
                                              forecast on a large-scale basis. SAS
Forecasting designed?                                                                    engine has a complete array of
                                              allows you to consolidate and reconcile
SAS Demand-Driven Forecasting is                                                         advanced forecasting methods,
                                              large volumes of information in a
designed for forecast analysts, business
                                              structured way to create accurate          including Exponential Smoothing,
planners in sales, marketing and finance,
and senior level managers responsible for     consensus forecasts and easily share       Winter’s, ARIMA, ARIMAX, UCM and
creating sales forecasts that provide input   them throughout the organization to        dynamic regression to model and
into the consensus forecasting process.       reduce excess inventory costs,             forecast all products across an
                                              eliminate out-of-stocks and improve        organization’s product portfolio. SAS
                                              downstream planning efficiencies.          can integrate consumer demand (pull),
                                                                                         model it and forecast it automatically
                                              The SAS solution automatically             using award-winning data access tools.
                                              creates a weighted consensus forecast
                                                                                         Reduce finished goods inventory
                                              by tracking variation between forecasted
                                                                                         levels and stock-outs
                                              and actuals to aid the consensus
                                              forecasting process. SAS’ what-if          SAS provides forecasts that reflect the
                                              analysis and scenario modeling             realities of the business, improving your
                                              capabilities help you plan for future      ability to forecast and plan future events
                                              events, including new product launches,    with confidence. As a result, safety
                                              location and channel introduction, and     stock levels can be tightened along with
                                              simulate the impact of possible market-    on-hand finished goods inventory,
                                              ing investment strategies and product      adding more efficiencies to the overall
                                              mixes to find the optimal forecasting      supply chain. Also stock-outs, or back
                                              scenario for maximum profitability.        orders, are reduced as the right
products are produced at the right time       and share results through the SAS             business. The open model repository
and stocked at the right locations.           Supply Chain Intelligence Center using        has all statistical methods, including:
                                              SAS’ Web access engine across the             time series, exponential smoothing,
SAS also provides a Multi-Echelon             organizational business hierarchy. The        Winter’s, ARIMA, ARIMAX, dynamic
Inventory	Optimization	component	as	          solution features a new demand                regression, UCM and custom methods.
an optional feature to SAS Demand-            planning workbench that provides
Driven Forecasting that includes              workflow to generate a final consensus        Flexible data modeling allows you to
distribution requirements planning            forecast. The weighted consensus              model large and complex forecasting
(DRP) reporting, sensitivity analysis and     forecast, along with individual fore-         structures and easily make changes to
scenario planning capabilities.               casts, will populate a “gap” report,          your forecast model to reflect changes in
                                              providing information that can be             your business and product structures.
Generate a more accurate consensus            utilized	during	the	S&OP	process	to	          For example, use forecast models for
forecast with gap analysis and strategies                                                   high-volume manufactured products,
                                              finalize a consensus forecast that
reporting across all business units
                                              helps drive all downstream planning           highly seasonal products, promoted
The overall forecasting process and           functions and/or systems.                     products and slow-moving items with
workflow are enhanced with SAS’ more                                                        intermittent demand.
structured approach provided with the         Large-scale automated statistical
advanced consensus forecasting                model selection and optimization              Event modeling console
planner workbench supported by                with hierarchical reconciliation
                                                                                            Model the effects of sales promotions,
advanced analytics. Statistically             SAS’ patented expert-selection forecast       marketing events, and other external
generated weighted consensus                  engine analyzes and combines various          events (i.e., pricing policy actions,
forecasts are created automatically           models to produce a forecast that best        holidays, severe weather events, etc.)
using award-winning weighted com-             depicts your organization at every level      that affect the forecast. The console
bined forecasting methods. Gap                of your corporate and product hierarchy       statistically models events to determine
reports are generated electronically,         for complex supply chain networks with        sales lifts associated with promotions,
indicating the gap between the financial      complex business rules.                       special marketing events and other
plan, all individual, departmental and                                                      irregular activities. Using patented
statistical baseline forecasts, with notes    SAS provides hierarchical forecasting         technology in the event model console,
indicating reasons. Those reports can         for hundreds of thousands of data series      you can choose among several event
be viewed through the SAS Supply              and synchronizes and allocates forecasts      types including pulse, level shift, ramp
Chain Intelligence Center using SAS’          from	any	level	within	the	hierarchy.	Other	   up/down and temporary events. And,
Web access engines. The reports can           features include:                             pre-programmed holiday events are
be reviewed, changed and written back                                                       available (e.g., Christmas, Easter,
                                              •	 Interactive	point-and-click	interface	
to the SAS Demand-Driven Forecasting                                                        Thanksgiving and others).
                                                 (GUI).
data model during the consensus
forecasting process.                          •	 Project	set-up	wizards.	
                                                                                            What-if analysis and scenario planning
                                              •	 High	performance	hierarchical	
                                                                                            With scenario analysis, evaluate
                                                 statistical engine.
Solution Overview                                                                           exceptions to your sales history and plan
                                              •	 Graphical	engine.	                         for future events – including new
SAS Demand-Driven Forecasting
                                              •	 Statistical	engine	to	provide	various	     product, location and channel introduc-
automatically creates statistical forecasts
                                                 statistical calculations (e.g., MAPE,      tion. Conduct what-if analyses using
on a large scale – based on a business
                                                 MAD, etc.).                                statistical models to find the optimal
hierarchy that utilizes the most current
                                              •	 Filter generator.                          forecasting scenario based on available
statistical methods. It allows manual
                                                                                            marketing investment strategies. What-if
adjustments by domain experts and
                                              A model repository                            analysis and scenario planning can be
automatically creates a weighted
                                                                                            used for any situation, including realistic,
consensus forecast based on variation         SAS provides the appropriate forecast
                                                                                            optimistic and pessimistic projections.
between forecasted and actuals.               methods to address your product
                                              portfolio requirements regarding harvest,     Demand planning workbench
Monitoring, tracking and reporting with       growth, niche and new product
                                                                                            The demand planning workbench allows
alerts allow you to compare the               demand, based on the unique market-
                                                                                            you to import and consolidate internal
forecasts to KPIs, track performance          place dynamics associated with your
and external customer forecasts (sales,
                                                Key Features
marketing, finance and others). Using
what-if analysis capabilities, easily adjust    Model repository with pre-defined models:
                                                •	 Time	series	methods	
the statistical baseline forecasts based
                                                   •	 Single	Exponential	Smoothing	
on a structured process that incorpo-
                                                   •	 Holt’s/Brown’s	Two	Parameter	Exponential	Smoothing	
rates data and analysis – rather than
                                                   •	 Winter’s	Three	Parameter	Exponential	Smoothing	
pure judgment – to enhance the                  	 	 •	 Additive/Multiplicative	
accuracy of your forecasts. You can                •	 ARIMA	
automatically create a weighted                 •	 Causal	methods	
consensus forecast using SAS’                      •	 ARIMAX	(ARIMA	with	intervention	and	causal	variables)	
weighted statistical method embedded            	 	 •	 Lagged	variables/transfer	functions		
in the demand planning workbench.                  •	 Dynamic	Multiple	Regression	
                                                   •	 UCM	(Unobserved	Components	Model)	
The automatically generated statistical         •	 Open	model	repository	
weighted consensus forecast is                     •	 Add	your	own	custom	models
surfaced through the SAS Supply Chain           Event modeling console:
Intelligence Center, or can be exported         •	 Interactive	JAVA	GUI	
to Excel as part of a consensus                 •	 Pre-defined	holiday	events	(Christmas,	Easter,	etc.)	
forecasting process in support of the              •	 Automatic	date	realignment	for	Easter	and	other	moving	holidays	
S&OP	planning	process.	The	reports	             •	 Customer	event	creator	
                                                   •	 Four	event	types	
can be shared across the enterprise us-
                                                	 	 •	 Pulse	
ing the SAS Supply Chain Intelligence
                                                	 	 •	 Ramp	up/down	
dashboard Web access engine.
                                                	 	 •	 Level	shift	
Centralized, collaborative templates are        	 	 •	 Temporary	
used to simplify the enterprisewide con-
                                                What-if analysis and scenario planning:
sensus forecasting process using the
                                                •	 Plug-in	into	the	DDF	applications	dashboard
Demand Planning Workbench workflow              •	 What-if	planning	capabilities	using	model	parameter	estimates	
to finalize the consensus forecast and          •	 Ability	to	change	model	parameter	estimates	to	determine	effects	on	forecasts
drive	S&OP	requirements	planning.		
                                                Demand planning workbench:
                                                •	 Interactive	Consensus	Planner	workbench	(workflow)	with	GUI			
An automated interactive application and
                                                •	 Automatic	weighted	consensus	forecast	generator	
set of screens and reports help you             •	 Override	templates	with	drill	down/up	capabilities
collect and consolidate internal and            •	 Web	Access	for	sharing,	viewing	and	authorized	changes
external forecasts to create a consensus
                                                Monitor, track and report:
forecast	to	drive	the	S&OP	process.	            •	 Supply	Chain	Intelligence	Center	Dashboard	with	KPIs/Metrics			
Forecasts can be averaged or weighted           •	 Series	of	interactive	forecasting	monitoring	and	tracking	reports	
based on past performance for recon-            •	 Series	of	alerts	(graphical/tabulator)	monitor	excepts	
ciliation. Assessment routines can be              •	 Drill	down/up	capabilities		
performed against financial KPIs to
determine the financial impact from a
revenue management perspective.                The SAS application provides Web-                     Technical Requirements
                                               enabled reports to monitor and track
Monitoring, tracking and reporting             forecast performance and interaction                  Client environment
                                               with the demand planning workbench,                   •	 Windows	(x86-32):	Windows	2000	
Monitor, track and report with drillable
                                               allowing access on an enterprisewide                     Professional, Windows XP Professional
alerts surfaced through a balanced
scorecard, or dashboard. Surface               basis. Included in the dashboard are                  •	 Internet	Explorer	6	and	later
forecasting results with KPIs and              alerts to identify key issues related to              •	 Microsoft	Office		2000	or	later	
performance metrics through a series of        forecast performance – such as                           (for	Microsoft	Office	add-in)
monitoring, tracking and reporting             exception reports and iterative reviews of
                                                                                                     •	 Microsoft	.NET	framework	1.1	
capabilities using the SAS Supply Chain        the consensus forecast.
                                                                                                        (for	Microsoft	Office	add-in)
Intelligence Center.
Additional software
•	 JRE:	1.4.2_09	(Sun)
•	 MySQL	Pro	5.0.22
•	 MySQL	Connector/J	5.0.3,	
   commercial version

Server environment
SAS	Servers,	including	Base	SAS	and	
SAS Metadata Server, can be installed
on one or more hardware systems in a
multitier configuration.

Operating Systems
•	 AIX:	Release	5.2	/	5.3	
•	 Windows	(x86-32):	Windows	NT	
   4	Server,	Windows	2000	Server,	
   Windows	Server	2003
                                                                 Figure 1. Supply Chain Intelligence Center featuring the Interactive Business
•	 Solaris	SPARC	Version	10
                                                                 Intelligence Dashboard.
Additional software
•	 BEA	WebLogic	8.1	service	pack	3
•	 MySQL	5.0.22

Mid-tier environment
Additional required/optional software:
•	 SAS	client	and	mid-tier	require	JRE	
   1.4.2_09
•	 BEA	WebLogic	8.1	service	pack	3
•	 WebSphere	Application	Server	
   Network	Deployment	Version	5.1.1.5




                                                                 Figure 2. What-if analysis and simulation application helps planners make overrides in a
                                                                 more structured environment using data and analytics versus pure judgment.




                             SAS Institute Inc. World Headquarters                                   +1 919 677 8000
                             To contact your local SAS office, please visit: www.sas.com/offices
                             SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA
                             and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies.
                             Copyright © 2011, SAS Institute Inc. All rights reserved.103465_S75042.0611

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Sas Demand Driven Forecasting Factsheet

  • 1. FACT SHEET SAS Demand-Driven Forecasting ® Maximize profitability, market share and customer satisfaction Today, most companies use legacy With SAS Demand-Driven forecasting, What does SAS Demand-Driven ® ERP/SCM solutions that are workflow- you can: Forecasting do? based with little emphasis on analytics, • Harness your existing data with pow- SAS Demand-Driven Forecasting drives resulting in inaccurate forecasts. This erful analytics through a user-friendly the development of the consensus process is resource-intensive, time con- forecast in conjunction with the S&OP interface. suming and is driven solely by domain process. Featuring not only scenario • Build a workflow designed around modeling, but a new demand plan- knowledge and biased judgment. your processes. ning workbench to support advanced consensus forecasting, it provides scal- Using inappropriate systems can put • Use business intelligence to drive ability, automation, depth and a breadth your organization at a competitive what-if analysis and disseminate the of advanced analytics to aid the demand results across your organization to disadvantage and prohibit you from forecasting and planning process. driving top-line growth and fulfilling make better decisions. Why is SAS Demand-Driven ® customers’ needs. With appropriate • Shorten the time it takes to drive your Forecasting important? technology, organizations can become supply chain and realize significant SAS Demand-Driven Forecasting com- demand-driven by incorporating savings in time and money. bines the power of automation, analytics customer demand signals and market • Support a formal S&OP process with and workflow to generate an unbiased trends in the demand plan accurately, strong methodologies that incorpo- accurate consensus forecast on a large- frequently and in real time – while scale basis. Using what-if analysis capa- rate an understanding of organiza- anticipating demand variability to tional dynamics. bilities, you can adjust forecasts based on a structured process that incorporates remove the threat to profit margins. data and analysis – rather than pure Key Benefits judgment – to enhance the accuracy of SAS combines the power of automa- your forecasts. Improve statistical forecasting tion, analytics and workflow to generate accuracy across the product hierarchy the most unbiased and accurate For whom is SAS Demand-Driven ® SAS’ patented statistical forecasting forecast on a large-scale basis. SAS Forecasting designed? engine has a complete array of allows you to consolidate and reconcile SAS Demand-Driven Forecasting is advanced forecasting methods, large volumes of information in a designed for forecast analysts, business structured way to create accurate including Exponential Smoothing, planners in sales, marketing and finance, and senior level managers responsible for consensus forecasts and easily share Winter’s, ARIMA, ARIMAX, UCM and creating sales forecasts that provide input them throughout the organization to dynamic regression to model and into the consensus forecasting process. reduce excess inventory costs, forecast all products across an eliminate out-of-stocks and improve organization’s product portfolio. SAS downstream planning efficiencies. can integrate consumer demand (pull), model it and forecast it automatically The SAS solution automatically using award-winning data access tools. creates a weighted consensus forecast Reduce finished goods inventory by tracking variation between forecasted levels and stock-outs and actuals to aid the consensus forecasting process. SAS’ what-if SAS provides forecasts that reflect the analysis and scenario modeling realities of the business, improving your capabilities help you plan for future ability to forecast and plan future events events, including new product launches, with confidence. As a result, safety location and channel introduction, and stock levels can be tightened along with simulate the impact of possible market- on-hand finished goods inventory, ing investment strategies and product adding more efficiencies to the overall mixes to find the optimal forecasting supply chain. Also stock-outs, or back scenario for maximum profitability. orders, are reduced as the right
  • 2. products are produced at the right time and share results through the SAS business. The open model repository and stocked at the right locations. Supply Chain Intelligence Center using has all statistical methods, including: SAS’ Web access engine across the time series, exponential smoothing, SAS also provides a Multi-Echelon organizational business hierarchy. The Winter’s, ARIMA, ARIMAX, dynamic Inventory Optimization component as solution features a new demand regression, UCM and custom methods. an optional feature to SAS Demand- planning workbench that provides Driven Forecasting that includes workflow to generate a final consensus Flexible data modeling allows you to distribution requirements planning forecast. The weighted consensus model large and complex forecasting (DRP) reporting, sensitivity analysis and forecast, along with individual fore- structures and easily make changes to scenario planning capabilities. casts, will populate a “gap” report, your forecast model to reflect changes in providing information that can be your business and product structures. Generate a more accurate consensus utilized during the S&OP process to For example, use forecast models for forecast with gap analysis and strategies high-volume manufactured products, finalize a consensus forecast that reporting across all business units helps drive all downstream planning highly seasonal products, promoted The overall forecasting process and functions and/or systems. products and slow-moving items with workflow are enhanced with SAS’ more intermittent demand. structured approach provided with the Large-scale automated statistical advanced consensus forecasting model selection and optimization Event modeling console planner workbench supported by with hierarchical reconciliation Model the effects of sales promotions, advanced analytics. Statistically SAS’ patented expert-selection forecast marketing events, and other external generated weighted consensus engine analyzes and combines various events (i.e., pricing policy actions, forecasts are created automatically models to produce a forecast that best holidays, severe weather events, etc.) using award-winning weighted com- depicts your organization at every level that affect the forecast. The console bined forecasting methods. Gap of your corporate and product hierarchy statistically models events to determine reports are generated electronically, for complex supply chain networks with sales lifts associated with promotions, indicating the gap between the financial complex business rules. special marketing events and other plan, all individual, departmental and irregular activities. Using patented statistical baseline forecasts, with notes SAS provides hierarchical forecasting technology in the event model console, indicating reasons. Those reports can for hundreds of thousands of data series you can choose among several event be viewed through the SAS Supply and synchronizes and allocates forecasts types including pulse, level shift, ramp Chain Intelligence Center using SAS’ from any level within the hierarchy. Other up/down and temporary events. And, Web access engines. The reports can features include: pre-programmed holiday events are be reviewed, changed and written back available (e.g., Christmas, Easter, • Interactive point-and-click interface to the SAS Demand-Driven Forecasting Thanksgiving and others). (GUI). data model during the consensus forecasting process. • Project set-up wizards. What-if analysis and scenario planning • High performance hierarchical With scenario analysis, evaluate statistical engine. Solution Overview exceptions to your sales history and plan • Graphical engine. for future events – including new SAS Demand-Driven Forecasting • Statistical engine to provide various product, location and channel introduc- automatically creates statistical forecasts statistical calculations (e.g., MAPE, tion. Conduct what-if analyses using on a large scale – based on a business MAD, etc.). statistical models to find the optimal hierarchy that utilizes the most current • Filter generator. forecasting scenario based on available statistical methods. It allows manual marketing investment strategies. What-if adjustments by domain experts and A model repository analysis and scenario planning can be automatically creates a weighted used for any situation, including realistic, consensus forecast based on variation SAS provides the appropriate forecast optimistic and pessimistic projections. between forecasted and actuals. methods to address your product portfolio requirements regarding harvest, Demand planning workbench Monitoring, tracking and reporting with growth, niche and new product The demand planning workbench allows alerts allow you to compare the demand, based on the unique market- you to import and consolidate internal forecasts to KPIs, track performance place dynamics associated with your
  • 3. and external customer forecasts (sales, Key Features marketing, finance and others). Using what-if analysis capabilities, easily adjust Model repository with pre-defined models: • Time series methods the statistical baseline forecasts based • Single Exponential Smoothing on a structured process that incorpo- • Holt’s/Brown’s Two Parameter Exponential Smoothing rates data and analysis – rather than • Winter’s Three Parameter Exponential Smoothing pure judgment – to enhance the • Additive/Multiplicative accuracy of your forecasts. You can • ARIMA automatically create a weighted • Causal methods consensus forecast using SAS’ • ARIMAX (ARIMA with intervention and causal variables) weighted statistical method embedded • Lagged variables/transfer functions in the demand planning workbench. • Dynamic Multiple Regression • UCM (Unobserved Components Model) The automatically generated statistical • Open model repository weighted consensus forecast is • Add your own custom models surfaced through the SAS Supply Chain Event modeling console: Intelligence Center, or can be exported • Interactive JAVA GUI to Excel as part of a consensus • Pre-defined holiday events (Christmas, Easter, etc.) forecasting process in support of the • Automatic date realignment for Easter and other moving holidays S&OP planning process. The reports • Customer event creator • Four event types can be shared across the enterprise us- • Pulse ing the SAS Supply Chain Intelligence • Ramp up/down dashboard Web access engine. • Level shift Centralized, collaborative templates are • Temporary used to simplify the enterprisewide con- What-if analysis and scenario planning: sensus forecasting process using the • Plug-in into the DDF applications dashboard Demand Planning Workbench workflow • What-if planning capabilities using model parameter estimates to finalize the consensus forecast and • Ability to change model parameter estimates to determine effects on forecasts drive S&OP requirements planning. Demand planning workbench: • Interactive Consensus Planner workbench (workflow) with GUI An automated interactive application and • Automatic weighted consensus forecast generator set of screens and reports help you • Override templates with drill down/up capabilities collect and consolidate internal and • Web Access for sharing, viewing and authorized changes external forecasts to create a consensus Monitor, track and report: forecast to drive the S&OP process. • Supply Chain Intelligence Center Dashboard with KPIs/Metrics Forecasts can be averaged or weighted • Series of interactive forecasting monitoring and tracking reports based on past performance for recon- • Series of alerts (graphical/tabulator) monitor excepts ciliation. Assessment routines can be • Drill down/up capabilities performed against financial KPIs to determine the financial impact from a revenue management perspective. The SAS application provides Web- Technical Requirements enabled reports to monitor and track Monitoring, tracking and reporting forecast performance and interaction Client environment with the demand planning workbench, • Windows (x86-32): Windows 2000 Monitor, track and report with drillable allowing access on an enterprisewide Professional, Windows XP Professional alerts surfaced through a balanced scorecard, or dashboard. Surface basis. Included in the dashboard are • Internet Explorer 6 and later forecasting results with KPIs and alerts to identify key issues related to • Microsoft Office 2000 or later performance metrics through a series of forecast performance – such as (for Microsoft Office add-in) monitoring, tracking and reporting exception reports and iterative reviews of • Microsoft .NET framework 1.1 capabilities using the SAS Supply Chain the consensus forecast. (for Microsoft Office add-in) Intelligence Center.
  • 4. Additional software • JRE: 1.4.2_09 (Sun) • MySQL Pro 5.0.22 • MySQL Connector/J 5.0.3, commercial version Server environment SAS Servers, including Base SAS and SAS Metadata Server, can be installed on one or more hardware systems in a multitier configuration. Operating Systems • AIX: Release 5.2 / 5.3 • Windows (x86-32): Windows NT 4 Server, Windows 2000 Server, Windows Server 2003 Figure 1. Supply Chain Intelligence Center featuring the Interactive Business • Solaris SPARC Version 10 Intelligence Dashboard. Additional software • BEA WebLogic 8.1 service pack 3 • MySQL 5.0.22 Mid-tier environment Additional required/optional software: • SAS client and mid-tier require JRE 1.4.2_09 • BEA WebLogic 8.1 service pack 3 • WebSphere Application Server Network Deployment Version 5.1.1.5 Figure 2. What-if analysis and simulation application helps planners make overrides in a more structured environment using data and analytics versus pure judgment. SAS Institute Inc. World Headquarters +1 919 677 8000 To contact your local SAS office, please visit: www.sas.com/offices SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2011, SAS Institute Inc. All rights reserved.103465_S75042.0611