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 JDA Demand Management
MUFI: Maintainability, Usability, Functionality, Implement ability
Vendor: Oracle (Select For Vendor Profile)
Introduction
Oracle Demantra is yet another Oracle acquisition. In our view, Demantra was an average statistical forecasting system when Oracle acquired it in 2006. However, with little investment into the application since its acquisition, Demantra is now a severely lagging application at this point which is primarily living off of its association with Oracle. And the fact that the consulting companies recommend Demantra for the simple reason that they have people trained in the application that they can bill for. For those that do not know, the association with a major brand like Oracle mistakenly makes executives believe that the software is either better or lower risk than if independent. Secondly, after its acquisition, Demantra was pitched to any remotely appropriate Oracle account.
Application Detail
It’s difficult to believe that Oracle is going to market with the Demantra user interface without attempting any improvement whatsoever, which is rated down with SAP DP. However, it is still quite a bit more usable than SAP DP. Overall Demantra has the look and feel of an application that would be purchased off the Internet at a low price, not something one would have to navigate through the gauntlet of Oracle sales to acquire. Many of the comments from users as to why they dislike Demantra centre around its user interface.
However, beneath the covers, the Demantra story improves somewhat. Demantra has an interesting functionality in that it can fundamentally test what the appropriate level in a hierarchy in which to forecast is. We have performed this type of testing – called attributes testing in several applications – and do not recall this functionality being available in any other application we have used or reviewed. This could be a time saver as most companies guess (and do not test) what attributes to use for top-down forecasting, and by extension, what level in the hierarchy which to perform a top-down forecast. Demantra also has one of the better thought out promotional forecasting functionalities – that recognizes that a promotion has impacts on demand history after the promotion. According to research published in the Journal of Marketing Research in 2007, the following changes to consumption and stockpiling were observed in their study:
- Yoghurt: Consumption accounted for between 49 to 65% of the promotional bump
- Ketchup: Consumption accounted for between 30 to 58% of the promotional bump
The literature on promotions and their effect on consumer behaviour are quite impressive – but a full review of the research into the promotional effect on consumer behaviour is unrelated to the treatment of promotions in this paper. Many companies lack the knowledge and forecasting functionality to apply post promotional period changes easily. If the post-promotion period changes to demand are not accounted for, the statistical forecasting method will pick up the promotional effect as a “real” effect and attempt to replicate it into the future.
So while there are some interesting areas of functionality in Demantra, generally these areas of functionality do not work as well as advertised. Secondly, we rate Demantra consulting and advice as considerably below the average consulting that is typically available from software vendors. Demantra consultants do have a tendency to make unsupportable statements during the implementation, such as statements related to how all that is required is the “data” and Demantra can come up with the correct forecasts with very little involvement. Given these statements as well as other anecdotes regarding Oracle exposure concerning Demantra makes us question whether Oracle can successfully implement forecasting projects.
A purchase of Demantra would have to be based upon some special functionality that Demantra has that cannot be had in another forecasting application. Integration is always a bad reason to decide in favour of one application over another. As such a small percentage of the TCO of an application is required for integration (and because many of the supposedly bulletproof integrations between the applications from one vendor are so much less than advertised during the sales process), therefore buying Demantra simply because Oracle offers it would not be a good decision. Finally, demand planning applications are one of the most straightforward applications to integrate to other systems.
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
Oracle Demantra is an older demand planning application and is a challenging implementation. Unlike other demand planning vendors, Demantra consultants should primarily be used to configure the application rather than relying upon them for what is the best approach to demand planning generally. The information from the process side may be best filled with an independent consultant, although many buyers are given little leeway and must use one of the large consulting companies. Oracle will recommend this as they trade the consulting company’s recommendation for consulting business.
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.
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