Executive Summary
- This is the Brightwork Research & Analysis software rating series.
- We rate both the software and estimate the risk of implementing each application.
MUFI Rating & Risk for SAS Demand Driven Forecasting
MUFI: Maintainability, Usability, Functionality, Implement ability
Vendor: SAS (Select For Vendor Profile)
Introduction
SAS has over 6500 forecasting customers. Secondly, this is one of the few software vendors where engineering is actually in charge versus sales. SAS stays under the radar but is quite popular with customers.
Application Detail
SAS forecasting has always been the go-to solution when a company wanted to develop its custom forecasting models. Unfortunately for SAS, very few companies staff their demand planning/forecasting departments to create and validate custom forecast models. Therefore SAS adjusted their application to have a broader appeal. One approach of SAS Demand-Driven Forecasting, if the SAS Forecast Server is also purchased is the automation of forecasting. SAS is one of the few demand planning vendors to focus on simulation for forecasting. Forecast simulation is essential so that forecasting can be continually improved.
SAS has chosen to go with a very bare-bones user interface in its forecasting system. As with Demand Works and Forecast Pro, the interface is highly focused around hierarchies and attributes (an attribute is a relational – impermanent hierarchy). These are used both for actually forecasting at higher levels, as well as for navigating through various groupings. SAS Demand-Driven Forecasting also has a consensus based forecasting functionality within the same application. This is the demonstration of a new trend in statistical applications that they are increasingly taking consensus forecasting seriously.
A common problem in companies is missing periods. These periods should not be interpreted as zeros, because this is a data problem – not a zero sale period. In SAS, the application can be instructed what to do with this value, and one option is to treat them as missing.
SAS is appealing for customers that are not only attracted to SAS software, but to the many years of forecasting expertise and the knowledge of how forecasting systems can be implemented successfully in a company.
MUFI Scores
All scores out of a possible 10.
MUFI Scores
- Ma. = Maintainability
- Us. = Usability
- Fu. = Functionality
- Im. = Implementability
| App | Ma. | Us. | Ft. | Im. | Cat. |
|---|---|---|---|---|---|
| Average Score for Big ERP | 5.1 | 4.8 | 5.2 | 5.4 | Big ERP |
| Average Score for CRM | 6.2 | 6.2 | 5.1 | 5.9 | CRM |
| Average Score for Small and Medium ERP | 8.3 | 8 | 6.7 | 8.5 | Small and Medium ERP |
| Average Score for Finance | 8.8 | 8.8 | 8 | 8.8 | Finance |
| Average Score for Demand Planning | 7.6 | 7.2 | 7 | 7.1 | Demand Planning |
| Average Score for Supply Planning | 6.7 | 6.9 | 7 | 6.8 | Supply Planning |
| Average Score for Production Planning | 6.8 | 6.9 | 7 | 6.9 | Production Planning |
| Average Score for BI Heavy | 5.5 | 5.3 | 6.9 | 5.3 | BI Heavy |
| Average Score for PLM | 7 | 7.2 | 6.8 | 7.3 | PLM |
| Average Score for BI Light | 7.7 | 8.7 | 9 | 8.3 | BI Light |
| Arena Solutions Arena PLM | 10 | 10 | 10 | 10 | PLM |
| AspenTech AspenOne | 4 | 8 | 10 | 7 | Production Planning |
| Birst | 8 | 8.5 | 10 | 8 | BI Light |
| ERPNext | 10 | 10 | 7.5 | 10 | Small and Medium ERP |
| Delfoi Planner | 8 | 6 | 6.5 | 7 | Production Planning |
| Demand Works Smoothie SP | 9 | 10 | 7 | 10 | Supply Planning |
| Hamilton Grant RM | 10 | 9 | 8.5 | 9 | PLM |
| IBM Cognos | 2.7 | 3 | 1.5 | 3 | BI Heavy |
| Infor Epiphany | 7 | 8 | 6 | 5 | CRM |
| Infor Lawson | 8 | 7 | 6 | 7 | Big ERP |
| Intuit QuickBooks Enterprise Solutions | 9 | 9 | 5 | 9 | Finance |
| JDA DM | 9 | 7.5 | 8 | 8 | Demand Planning |
| Microsoft Dynamics CRM | 2 | 3 | 2 | 2 | CRM |
| NetSuite CRM | 6 | 4 | 3 | 3 | CRM |
| Netsuite OneWorld | 7 | 7 | 8 | 8 | Big ERP |
| OpenERP | 7 | 8 | 8.5 | 8 | 7 |
| Oracle BI | 4 | 4 | 3 | 6 | BI Heavy |
| Oracle CRM On Demand | 4 | 5 | 3 | 5 | CRM |
| Oracle Demantra | 5 | 3 | 3.5 | 4.5 | Demand Planning |
| Oracle JD Edwards World | 4 | 1 | 3 | 6 | Big ERP |
| Oracle RightNow | 6 | 7 | 4 | 5 | CRM |
| PlanetTogether Galaxy APS | 10 | 10 | 10 | 10 | Production Planning |
| Preactor | 8 | 7 | 3 | 7 | Production Planning |
| QlikTech QlikView | 9 | 9 | 10 | 9 | BI Light |
| Rootstock | 9 | 8 | 9 | 9 | Small and Medium ERP |
| Sage X3 | 8 | 8 | 7 | 8 | Big ERP |
| Salesforce Enterprise | 8 | 8.5 | 9 | 7.5 | CRM |
| SAP APO DP | 3 | 4 | 3 | 2 | Demand Planning |
| SAP APO PP/DS | 2 | 2 | 4 | 3 | Production Planning |
| SAP APO SNP | 3 | 4 | 8 | 4 | Supply Planning |
| SAP BI/BW | 1.5 | 2 | 4 | 2 | BI Heavy |
| SAP Business Objects | 3 | 2.5 | 7 | 3 | BI Heavy |
| SAP CRM | 4 | 3 | 6 | 4 | CRM |
| SAP ECC | 3 | 3 | 6.5 | 3 | Big ERP |
| SAP PLM | 1 | 2.5 | 2 | 3 | PLM |
| SAP SmartOps | 4 | 4 | 7 | 5.5 | Supply Planning |
| SAS BI | 6.5 | 7 | 9 | 6 | BI Heavy |
| SAS Demand Driven Forecasting | 7 | 8 | 9 | 7 | Demand Planning |
| Tableau (BI) | 9 | 10 | 10 | 10 | BI Light |
| Tableau (Forecasting) | 10 | 8 | 5 | 9 | Demand Planning |
| Teradata | 8 | 6.3 | 9.7 | 6 | BI Heavy |
| ToolsGroup SO99 (Forecasting) | 7 | 8 | 9 | 7 | Demand Planning |
| ToolsGroup SO99 (Supply) | 5 | 6 | 10 | 7 | Supply Planning |
Vendor and Application Risk
SAS Demand-Driven Forecasting faces similar issues of the more heavyweight forecasting applications, which is one of being overwhelmed with the available functionality. SAS Demand-Driven Forecasting is not as user-friendly as other applications in this category. However, the application is well designed and ready for heavy-duty work. SAS Demand-Driven Forecasting requires a heavier implementation and support load along the lines of ToolsGroup and Oracle Demantra. A good example of the detail in SAS Demand-Driven Forecasting can be viewed by simply going to their online manual such as at the following link and doing some reading.
https://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_arima_sect003.htm
SAS also has quite a few training resources.
https://support.sas.com/learn/
The functionality published in the documentation, as with SAS products generally can be relied upon.
Likelihood of Implementation Success
This accounts for both the application and the vendor-specific risk. In our formula, the total implementation risk is application + vendor + buyer risk. The buyer specific risk could increase or decrease this overall likelihood and adjust the values that you see below.
Likelihood of Application Implementation Success and Failure
Search for the application in this table using the search bar in the upper right of the table.
| Application | Prob of Implementation Success | Prob of Implementation Failure |
|---|---|---|
| Actuate | 0.77 | 0.23 |
| SAP Smartops | 0.39 | 0.61 |
| NetSuite CRM | 0.46 | 0.54 |
| Sugar CRM | 0.62 | 0.48 |
| Base CRM | 0.91 | 0.09 |
| SAP CRM | 0.35 | 0.65 |
| Salesforce Enterprise | 0.72 | 0.28 |
| QlikTech QlikView | 0.82 | 0.18 |
| Tableau (BI) | 0.98 | 0.02 |
| SAP Crystal Reports | 0.46 | 0.54 |
| Brist | 0.83 | 0.17 |
| MicroStrategy | 0.7 | 0.3 |
| SAS BI | 0.76 | 0.24 |
| Oracle BI | 0.35 | 0.65 |
| IBM Cognos | 0.23 | 0.77 |
| Infor Epiphany | 0.58 | 0.42 |
| Microsoft Dynamics CRM | 0.26 | 0.74 |
| Oracle RightNow CRM | 0.41 | 0.59 |
| Oracle CRM On Demand | 0.36 | 0.64 |
| Teradata | 0.76 | 0.24 |
| SAP Business Objects | 0.32 | 0.68 |
| SAP BI/BW | 0.25 | 0.75 |
| SAP PLM | 0.29 | 0.71 |
| Hamilton Grant RM | 0.89 | 0.11 |
| Arena Solutions | 0.96 | 0.04 |
| Delfoi Planner | 0.7 | 0.3 |
| Preactor | 0.64 | 0.36 |
| PlanetTogether Galaxy APS | 0.96 | 0.04 |
| AspenTech AspenOne | 0.55 | 0.45 |
| SAP APO PP/DS | 0.27 | 0.73 |
| Demand Works Smoothie SP | 0.93 | 0.07 |
| ToolsGroup SO99 (Supply) | 0.82 | 0.18 |
| Demand Works Smoothie | 0.96 | 0.04 |
| Tableau (Forecasting) | 0.9 | 0.1 |
| SAS Demand Driven Forecasting | 0.82 | 0.18 |
| ToolsGroup SO99 (Forecasting) | 0.86 | 0.14 |
| JDA DM | 0.57 | 0.43 |
| Oracle Demantra | 0.33 | 0.67 |
| SAP APO DP | 0.28 | 0.72 |
| FinancialForce | 0.92 | 0.08 |
| Intacct | 0.98 | 0.02 |
| Intuit QB Enterprise | 0.8 | 0.2 |
| ERPNext | 0.9 | 0.1 |
| OpenERP | 0.78 | 0.22 |
| Rootstock | 0.91 | 0.09 |
| ProcessPro | 0.93 | 0.07 |
| Microsoft Dynamics AX | 0.4 | 0.6 |
| SAP Business One | 0.49 | 0.51 |
| Sage X3 | 0.62 | 0.38 |
| Infor Lawson | 0.58 | 0.42 |
| Epicor ERP | 0.4 | 0.6 |
| Oracle JD Edwards World | 0.31 | 0.69 |
| Oracle JD Edwards EnterpriseOne | 0.36 | 0.64 |
| SAP ERP ECC/R/3 | 0.32 | 0.68 |
| NetSuite OneWorld | 0.65 | 0.35 |
Risk Definition
See this link for more on our categorizations of risk. We also offer a Buyer Specific Risk Estimation as a service for those that want a comprehensive analysis.
Finished With Your Analysis?
To go back to the Software Selection Package page for the Demand Planning software category. Or go to this link to see other analytical products for SAS Demand-Driven Forecasting.
References
https://en.wikipedia.org/wiki/SAS_Institute
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