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 ToolsGroup SO99 (Forecasting)
MUFI: Maintainability, Usability, Functionality, Implement ability
Vendor: ToolsGroup (Select For Vendor Profile)
Introduction
ToolsGroup is a software vendor mainly known for its inventory optimization and multi-echelon planning software for supply planning. However, while less known for the forecasting functionality of their SO99 product, it is a competent application.
Application Detail
ToolsGroup, in everything that it does, is very focused on what is known as stochastic modeling. This means modeling in a way that represents the variable nature of reality. This comes across in their forecasting application and is displayed in the following screenshot.
Most forecasting applications have a single line representing the forecast. ToolsGroup’s S099 application produces a range of values indicating the probabilistic nature of the forecast. This is a very innovative concept and gets people thinking of a forecast as not a single value.
ToolsGroup has a lovely seasonality management functionality, which creates a seasonality index, which helps adjust the forecast up or down based on the indices. A fractional value below 1 for indices, such as in October (.80), brings the forecast down – a fractional value above 1 for indices, such as February (1.03), brings the forecast up. Some forecasting applications have similar functionality. However, ToolsGroup regularly displays a combination of ease of use along with high sophistication.
Lifecycle Planning in ToolsGroup SO99
Supersession is the substitution of one product for another product. In lifecycle planning, this often involves phasing out one product and replacing it with a newer version. Seeing the demand for both products in an integrated way is one of the challenges. ToolsGroup has made this very clear in its user interface, so I wanted to include them in this section.
ToolGroup can show both the phased-out and phased-in products on the same screen. See below and notice the transparent portion of the block graphs.
If the selected item supersedes another item (i.e., it assumes the demand of the superseded item in addition to its own). The demand bar on the graph displays the original demand for the selected item (solid green bar) and the acquired demand associated with the superseded item (green perimeter with no fill): the superseded demand. – Kristen Nordstrom, ToolsGroup
ToolsGroup SO99 and Lumpy Demand
Of the vendors I have analyzed, probably the one (that does not specialize in service parts) with the most significant focus on demand intermittency is ToolsGroup. This is consistent with ToolsGroup ‘s orientation towards detailed planning, as is demonstrated in the screenshot below:
Notice that with ToolsGroup, the lumpiness shows in the demand history. However, the future lines in purple and blue are very long. This is called the prediction interval, the range over which a forecast is likely to fall. On a lumpy product like this one, notice how broad the range is when compared to the more predictable demand pattern below:
The more predictable item has a smaller range of values. It is inherently more forecastable. ToolsGroup’s interface allows me to demonstrate a basic concept of forecasting, which is what an excellent user interface should be able to do.
ToolsGroup’s SO99 is a forecasting application for companies that are very serious about forecasting.  It takes a different approach in some areas, and a good fit for ToolsGroup implementations will be companies that buy into the ToolsGroup vision. Some of the functionality for forecasting in ToolsGroup SO99 does not exist in any other supply chain forecasting application.
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
ToolsGroup SO99 faces similar issues to the more heavyweight forecasting applications, which is one of being overwhelmed with the available functionality. Overall, the SO99 application is well designed, and it has some productivity-enhancing features ranging from how it performs lifecycle planning to substitution and supersession. The SO99 user interface is of good quality, easing user adoption. Users must become acclimated to the concept of probabilistic forecasts.
Likelihood of Implementation Success
This accounts for both the application and the vendor-specific risk. The total implementation risk in our formula is application + vendor + buyer risk. The buyer-specific risk could increase or decrease this likelihood and adjust the values 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 who 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 for other analytical products for ToolsGroup SO99.