[:en]Today’s fast-paced, competitive marketplace mean increasing pressure to raise profits, do more with less and operate more efficiently. Achieving these goals requires faster and improved decision-making ability across your entire organization.
Unfortunately in many large and midsize organizations, departments continue to operate in information silos. Existing operational systems often are not linked, and software packages are not integrated. Decision makers have difficulty getting consistent and accurate information that they need to make informed decisions quickly.
Spend less time looking for answers and more time driving strategic decisions.
SAS offers an integrated business intelligence platform that provides consistent, accurate information based on a comprehensive view of the business. A suite of intuitive interfaces empowers decision makers across the organization with self-service query and reporting capabilities so they can get the information they need in time to make the right decisions and to easily communicate results.
SAS Business Intelligence integrates data from across your enterprise and provides self-service reporting and analysis at everyone’s fingertips. Decision makers spend less time looking for answers and more time driving strategic decisions.
Monitor real-time, business-critical data directly in your mail client or from Web-based dashboards. This enables you to respond to alerts and share comments, collaborating to reach better decisions.
Challenges
- Lack of timely information. With IT facing ever-increasing demands, decision makers often are unable to get the information they need when they need it.
- Inaccurate or inconsistent data. Information flows in from multiple sources and is probably not consistent.
- Difficulty accessing and manipulating source data. Business users spend too much time sorting, filtering and importing data into environments for analysis and formatting.
- Ineffective information sharing across the organization. Better decisions are impossible if employees do not have the ability to share analytical results.
- Over-dependence on silo spreadsheets. Multiple types of reports are maintained, with each department believing theirs is the accurate version.
- Pressure to comply with increasing regulatory requirements. Poor control over data access and manual, error-prone processes can lead to regulatory non-compliance.
The SAS® Solution
SAS Enterprise BI Server is a comprehensive, easy-to-use business intelligence software solution that integrates the power of SAS Analytics and SAS Data Integration to provide insights that drive better decisions. It includes role-based, self-service interfaces for all types of users within a well-defined IT governance framework and a centralized point of administration. This helps organizations simplify and speed business intelligence deployment. With SAS Enterprise BI Server:
- All levels of users can access, produce and distribute reports.
- Everyone can ask new questions and quickly get the answers they need.
- Results can be communicated easily with charts, graphs and maps.
- SAS capabilities for data access, reporting, performance measurement, and analytics can be leveraged directly from Microsoft Office applications.
- The full breadth of SAS Analytics can be integrated into BI applications and results made available to all.
- Business users can rely on role-based portals to retrieve the most relevant information and create personalized dashboards in just minutes.
- Users can get information anytime, anywhere from mobile devices (add-on capability).
Benefits
Key benefits
- All levels of users can access and produce reports.
- Everyone can ask new questions and quickly get the answers they need.
- It is easy to communicate results visually with charts, graphs and maps.
- Leverage SAS capabilities for data access, reporting and analytics directly from Microsoft Office applications.
- The full breadth of SAS analytics can be integrated into BI applications and results made available to all.
Reporting: All levels of users can access and produce reports
SAS reporting is self-service so information consumers can access and generate reports on their own in the time frames they require. Users can quickly access data and make informed decisions that will steer favorable outcomes and deliver the desired results. Multiple interfaces are tailored to the different skills and business needs of individuals throughout an organization and users can work in familiar environments (Web browsers, e-mail, Microsoft Office, etc.). The need for training is minimized and results are fast.
Query & Analysis: Users can ask new questions and quickly get the answers they need
SAS provides multiple query interfaces for differing skill levels, enabling users to access and query data on their own without having to learn new skills. SAS has the power and interoperability to query across multiple databases and platforms, and incorporate those results into reports, portals or Microsoft Office applications. Complex analysis can be performed in familiar environments as well.
Business Visualization: Easily present data in charts, graphs and maps
SAS provides an extensive suite of graphic data presentation options to illustrate relationships that are difficult to see in spreadsheets or table formats. These graphics can be produced as reports that can be surfaced in the portal or as part of an application, or as a freestanding graphic.
Microsoft Office Integration: Leverage SAS capabilities directly from Microsoft Office
SAS functionality is seamlessly integrated into Microsoft Office so users have self-service access to SAS business intelligence and analytics from within Microsoft Office applications. This allows organizations to implement business analysis standards, while making data from multiple sources easily available to users through familiar Microsoft Office environments.
Integrated Analytics: Integrate the full breadth of SAS analytics and make results available to all
SAS is the market leader in analytics, and these powerful analytic capabilities can be leveraged by more users across the organization. This includes analytic
Key benefits
- All levels of users can access and produce reports.
- Everyone can ask new questions and quickly get the answers they need.
- It is easy to communicate results visually with charts, graphs and maps.
- Leverage SAS capabilities for data access, reporting and analytics directly from Microsoft Office applications.
- The full breadth of SAS analytics can be integrated into BI applications and results made available to all results or the ability to run analytic models directly from within their BI interface of choice – Web browser, portal or Microsoft Office applications. SAS analytic capabilities are the highest quality in the industry, ensuring precision and allowing for greater certainty and confidence in the results.
Capabilities
Reporting
SAS Reporting is self-service, so all levels of information consumers can access and generate reports on their own in the time frames they require. Users can quickly access source data, easily refresh reports and make informed decisions that will steer favorable outcomes and deliver the desired results. Multiple interfaces are tailored to the different skills and business needs of individuals throughout an organization, and users can work in familiar environments (Web browsers, Microsoft Office applications and Microsoft Outlook). The need for training is minimized and results are fast.
Query and Analysis
Users can ask new questions and quickly get the answers they need. SAS provides multiple query interfaces for differing skill levels, enabling users to access and query data on their own without having to learn new skills or involve IT. SAS has the power and interoperability to query across multiple databases and platforms and to incorporate those results into reports, portals or Microsoft Office applications. Complex analysis can be performed in familiar environments as well.
Business Visualization
With SAS, it is easy to present data in charts, graphs and maps. In addition, SAS provides an extensive suite of highly interactive data presentation options to illustrate relationships that are difficult to see in spreadsheets or table formats. Animated 2-D and 3-D graphics can be produced as reports and then surfaced in the portal, as part of a PowerPoint presentation or as a freestanding graphic.
Microsoft Office Integration
SAS functionality integrates seamlessly into Microsoft Office, giving users transparent, self-service access to SAS Business Intelligence reports and analytics from within Microsoft applications such as Outlook, Word, Excel, PowerPoint and SharePoint. This allows organizations to implement business analysis standards, while making data from multiple sources easily available to users through familiar Microsoft Office tools and menus.
Integrated Analytics
SAS is the market leader in analytics, and now more users across the organization can leverage the full breadth of SAS Analytics and collaborate effectively on results. This includes analytic results or the ability to run analytic models directly from within the BI interface of choice – Web browser, portal or Microsoft Office applications. SAS analytic capabilities are the highest quality in the industry, ensuring precision and allowing for greater certainty and confidence in the results.
About SAS
SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions delivered within an integrated framework, SAS helps customers at more than 50,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®.
SAS® Business Intelligence software is published by SAS Institute Inc. (www.sas.com).
Design-Ease® software is the ‘light’ version of the far more comprehensive Design-Expert® software from Stat-Ease, which offers response surface methods (RSM) and mixture designs for product formulators. However, if all you need are the 20% of DOE tools that return 80% of the potential gains for process improvement, Design-Ease may be just what you need and no more, thus keeping it simple statistically (KISS).
Design-Ease provides only factorials for screening and characterization of processes–not response surface methods (RSM), mixture or combined designs, which are available only in Design-Expert.
Good news for network administrators
New more flexible and easier-to-use license manager with greater power to serve enterprise users: For example, network ‘seats’ can be checked out to individual laptops and multiple opening of the program on a specific computer will only use one seat.
Component | Minimum |
---|---|
Processor | 500 MHz |
Hard Drive | 100 MB free space |
RAM | 512 MB |
Display | 800×600 |
Operating System |
|
Microsoft .NET Framework | Version 4.0 |
Data and simulation files associated with the tutorials need to be downloaded separately.
There are a few DX8 tutorials noted below that will be replaced by DX9 versions as they become available.
Tutorials (DX & DE) | Size | Description |
---|---|---|
General Multilevel-Categoric One-Factor | 1.99 MB | Build and analyze a one-factor factorial design, “Bowling” |
General Multilevel-Categoric Factorial | 1.73 MB | Build and analyze a three-level design with factorial analysis, “Battery” [Battery.simx] |
Two-Level Factorial | 2.64 MB | Two-level factorial design, “Filtrate” [Filtrate.simx] |
Foldover Designs | 1.24 MB | Augment a factorial design by foldover (DX8 tutorial) [Biker.dxp] |
Taguchi Designs | 641.36 KB | Taguchi designs (DX8 tutorial) [Taguchi-L16.dxp] |
Split-Plot General Multilevel-Categoric Factorial | 1.03 MB | Build and analyze a split-plot factorial design, “Pulp” [Pulp.simx] |
Tutorials (DX Only) | Size | Description |
---|---|---|
One Factor RSM | 1.86 MB | Build and analyze a one-factor RSM design, “Driving” |
Multi-Factor RSM | 3.46 MB | Multifactor response surface, “RSM” [RSM.dxpx & RSM-a.dxpx] |
Optimal Numeric | 1.05 MB | Adding multifactor constraints to an optimal design |
Mixture Designs | 2.64 MB | Build and analyze a simplex-lattice design, “Mix” [Mix.dxpx & Mix-a.dxpx] |
Combined Mixture-Process | 1.65 MB | Build and analyze a mixture design with process factors, “Fish Patties” [Fish Patties.simx] |
Optimal Categoric | 1.28 MB | Adding categoric factors to an optimal design (DX8 tutorial) [Peel.dxp] |
Historical RSM | 824.21 KB | Analysis of highly correlated data, “Longley” (DX8 tutorial) [Longley.dxp] |
Feature Tour | Size | Description |
---|---|---|
Simple Sample | 416.36 KB | How to use simple sample designs [Simple Sample-Motor Shaft.dxpx] |
Split-Plot Factorial | 698.29 KB | How to build a factorial split-plot [PCR with data.dxpx & PCR.simx] |
Split-Plot Optimal | 298.23 KB | How to build an optimal split-plot [PCR as Optimal Build (starter).dxpx] |
Verification Runs | 455.64 KB | How to use verification runs [RSM-a.dxpx] (DX9 Only) |
Confirmation Runs | 323.3 KB | How to enter confirmation runs [RSM-a.dxpx] (DX9 Only) |
Documents | Size | Description |
---|---|---|
What’s new in version 9? | 1.82 MB | Illustrated highlights of new features in Design-Expert 9 |
New Factorial Design Builder | 370.85 KB | DX9 factorial design builder: screenshots and comparison to DX8 |
Design-Expert 9 Tutorials | 24.28 MB | Installs all Design-Expert tutorials and data files. |
Design-Ease 9 Tutorials | 10.81 MB | Installs all Design-Ease tutorials and data files. |
Tutorial Name | |
---|---|
Help | Video tutorial help and navigation tips |
Factorial Design | |
1 | Building a 2-level factorial and sorting data |
2 | Analyzing the data in a 2-level factorial |
3 | Exploring the model graphs |
4 | Finding the optimum settings and confirming the model |
Mixture Design | |
1 | Building and Analyzing an Optimal Mixture Design |
Design-Expert® (and Design-Ease®) software is published by Stat-Ease, Inc., Minneapolis, MN USA (www.statease.com).
Design-Ease® software is the ‘light’ version of the far more comprehensive Design-Expert® software from Stat-Ease, which offers response surface methods (RSM) and mixture designs for product formulators. However, if all you need are the 20% of DOE tools that return 80% of the potential gains for process improvement, Design-Ease may be just what you need and no more, thus keeping it simple statistically (KISS).
Design-Ease provides only factorials for screening and characterization of processes–not response surface methods (RSM), mixture or combined designs, which are available only in Design-Expert.
Good news for network administrators
New more flexible and easier-to-use license manager with greater power to serve enterprise users: For example, network ‘seats’ can be checked out to individual laptops and multiple opening of the program on a specific computer will only use one seat.
Component | Minimum |
---|---|
Processor | 500 MHz |
Hard Drive | 100 MB free space |
RAM | 512 MB |
Display | 800×600 |
Operating System |
|
Microsoft .NET Framework | Version 4.0 |
Data and simulation files associated with the tutorials need to be downloaded separately.
There are a few DX8 tutorials noted below that will be replaced by DX9 versions as they become available.
Tutorials (DX & DE) | Size | Description |
---|---|---|
General Multilevel-Categoric One-Factor | 1.99 MB | Build and analyze a one-factor factorial design, “Bowling” |
General Multilevel-Categoric Factorial | 1.73 MB | Build and analyze a three-level design with factorial analysis, “Battery” [Battery.simx] |
Two-Level Factorial | 2.64 MB | Two-level factorial design, “Filtrate” [Filtrate.simx] |
Foldover Designs | 1.24 MB | Augment a factorial design by foldover (DX8 tutorial) [Biker.dxp] |
Taguchi Designs | 641.36 KB | Taguchi designs (DX8 tutorial) [Taguchi-L16.dxp] |
Split-Plot General Multilevel-Categoric Factorial | 1.03 MB | Build and analyze a split-plot factorial design, “Pulp” [Pulp.simx] |
Tutorials (DX Only) | Size | Description |
---|---|---|
One Factor RSM | 1.86 MB | Build and analyze a one-factor RSM design, “Driving” |
Multi-Factor RSM | 3.46 MB | Multifactor response surface, “RSM” [RSM.dxpx & RSM-a.dxpx] |
Optimal Numeric | 1.05 MB | Adding multifactor constraints to an optimal design |
Mixture Designs | 2.64 MB | Build and analyze a simplex-lattice design, “Mix” [Mix.dxpx & Mix-a.dxpx] |
Combined Mixture-Process | 1.65 MB | Build and analyze a mixture design with process factors, “Fish Patties” [Fish Patties.simx] |
Optimal Categoric | 1.28 MB | Adding categoric factors to an optimal design (DX8 tutorial) [Peel.dxp] |
Historical RSM | 824.21 KB | Analysis of highly correlated data, “Longley” (DX8 tutorial) [Longley.dxp] |
Feature Tour | Size | Description |
---|---|---|
Simple Sample | 416.36 KB | How to use simple sample designs [Simple Sample-Motor Shaft.dxpx] |
Split-Plot Factorial | 698.29 KB | How to build a factorial split-plot [PCR with data.dxpx & PCR.simx] |
Split-Plot Optimal | 298.23 KB | How to build an optimal split-plot [PCR as Optimal Build (starter).dxpx] |
Verification Runs | 455.64 KB | How to use verification runs [RSM-a.dxpx] (DX9 Only) |
Confirmation Runs | 323.3 KB | How to enter confirmation runs [RSM-a.dxpx] (DX9 Only) |
Documents | Size | Description |
---|---|---|
What’s new in version 9? | 1.82 MB | Illustrated highlights of new features in Design-Expert 9 |
New Factorial Design Builder | 370.85 KB | DX9 factorial design builder: screenshots and comparison to DX8 |
Design-Expert 9 Tutorials | 24.28 MB | Installs all Design-Expert tutorials and data files. |
Design-Ease 9 Tutorials | 10.81 MB | Installs all Design-Ease tutorials and data files. |
Tutorial Name | |
---|---|
Help | Video tutorial help and navigation tips |
Factorial Design | |
1 | Building a 2-level factorial and sorting data |
2 | Analyzing the data in a 2-level factorial |
3 | Exploring the model graphs |
4 | Finding the optimum settings and confirming the model |
Mixture Design | |
1 | Building and Analyzing an Optimal Mixture Design |
Design-Expert® (and Design-Ease®) software is published by Stat-Ease, Inc., Minneapolis, MN USA (www.statease.com).
Design-Ease® software is the ‘light’ version of the far more comprehensive Design-Expert® software from Stat-Ease, which offers response surface methods (RSM) and mixture designs for product formulators. However, if all you need are the 20% of DOE tools that return 80% of the potential gains for process improvement, Design-Ease may be just what you need and no more, thus keeping it simple statistically (KISS).
Design-Ease provides only factorials for screening and characterization of processes–not response surface methods (RSM), mixture or combined designs, which are available only in Design-Expert.
Good news for network administrators
New more flexible and easier-to-use license manager with greater power to serve enterprise users: For example, network ‘seats’ can be checked out to individual laptops and multiple opening of the program on a specific computer will only use one seat.
Component | Minimum |
---|---|
Processor | 500 MHz |
Hard Drive | 100 MB free space |
RAM | 512 MB |
Display | 800×600 |
Operating System |
|
Microsoft .NET Framework | Version 4.0 |
Data and simulation files associated with the tutorials need to be downloaded separately.
There are a few DX8 tutorials noted below that will be replaced by DX9 versions as they become available.
Tutorials (DX & DE) | Size | Description |
---|---|---|
General Multilevel-Categoric One-Factor | 1.99 MB | Build and analyze a one-factor factorial design, “Bowling” |
General Multilevel-Categoric Factorial | 1.73 MB | Build and analyze a three-level design with factorial analysis, “Battery” [Battery.simx] |
Two-Level Factorial | 2.64 MB | Two-level factorial design, “Filtrate” [Filtrate.simx] |
Foldover Designs | 1.24 MB | Augment a factorial design by foldover (DX8 tutorial) [Biker.dxp] |
Taguchi Designs | 641.36 KB | Taguchi designs (DX8 tutorial) [Taguchi-L16.dxp] |
Split-Plot General Multilevel-Categoric Factorial | 1.03 MB | Build and analyze a split-plot factorial design, “Pulp” [Pulp.simx] |
Tutorials (DX Only) | Size | Description |
---|---|---|
One Factor RSM | 1.86 MB | Build and analyze a one-factor RSM design, “Driving” |
Multi-Factor RSM | 3.46 MB | Multifactor response surface, “RSM” [RSM.dxpx & RSM-a.dxpx] |
Optimal Numeric | 1.05 MB | Adding multifactor constraints to an optimal design |
Mixture Designs | 2.64 MB | Build and analyze a simplex-lattice design, “Mix” [Mix.dxpx & Mix-a.dxpx] |
Combined Mixture-Process | 1.65 MB | Build and analyze a mixture design with process factors, “Fish Patties” [Fish Patties.simx] |
Optimal Categoric | 1.28 MB | Adding categoric factors to an optimal design (DX8 tutorial) [Peel.dxp] |
Historical RSM | 824.21 KB | Analysis of highly correlated data, “Longley” (DX8 tutorial) [Longley.dxp] |
Feature Tour | Size | Description |
---|---|---|
Simple Sample | 416.36 KB | How to use simple sample designs [Simple Sample-Motor Shaft.dxpx] |
Split-Plot Factorial | 698.29 KB | How to build a factorial split-plot [PCR with data.dxpx & PCR.simx] |
Split-Plot Optimal | 298.23 KB | How to build an optimal split-plot [PCR as Optimal Build (starter).dxpx] |
Verification Runs | 455.64 KB | How to use verification runs [RSM-a.dxpx] (DX9 Only) |
Confirmation Runs | 323.3 KB | How to enter confirmation runs [RSM-a.dxpx] (DX9 Only) |
Documents | Size | Description |
---|---|---|
What’s new in version 9? | 1.82 MB | Illustrated highlights of new features in Design-Expert 9 |
New Factorial Design Builder | 370.85 KB | DX9 factorial design builder: screenshots and comparison to DX8 |
Design-Expert 9 Tutorials | 24.28 MB | Installs all Design-Expert tutorials and data files. |
Design-Ease 9 Tutorials | 10.81 MB | Installs all Design-Ease tutorials and data files. |
Tutorial Name | |
---|---|
Help | Video tutorial help and navigation tips |
Factorial Design | |
1 | Building a 2-level factorial and sorting data |
2 | Analyzing the data in a 2-level factorial |
3 | Exploring the model graphs |
4 | Finding the optimum settings and confirming the model |
Mixture Design | |
1 | Building and Analyzing an Optimal Mixture Design |
Design-Expert® (and Design-Ease®) software is published by Stat-Ease, Inc., Minneapolis, MN USA (www.statease.com).
Design-Ease® software is the ‘light’ version of the far more comprehensive Design-Expert® software from Stat-Ease, which offers response surface methods (RSM) and mixture designs for product formulators. However, if all you need are the 20% of DOE tools that return 80% of the potential gains for process improvement, Design-Ease may be just what you need and no more, thus keeping it simple statistically (KISS).
Design-Ease provides only factorials for screening and characterization of processes–not response surface methods (RSM), mixture or combined designs, which are available only in Design-Expert.
Good news for network administrators
New more flexible and easier-to-use license manager with greater power to serve enterprise users: For example, network ‘seats’ can be checked out to individual laptops and multiple opening of the program on a specific computer will only use one seat.
Component | Minimum |
---|---|
Processor | 500 MHz |
Hard Drive | 100 MB free space |
RAM | 512 MB |
Display | 800×600 |
Operating System |
|
Microsoft .NET Framework | Version 4.0 |
Data and simulation files associated with the tutorials need to be downloaded separately.
There are a few DX8 tutorials noted below that will be replaced by DX9 versions as they become available.
Tutorials (DX & DE) | Size | Description |
---|---|---|
General Multilevel-Categoric One-Factor | 1.99 MB | Build and analyze a one-factor factorial design, “Bowling” |
General Multilevel-Categoric Factorial | 1.73 MB | Build and analyze a three-level design with factorial analysis, “Battery” [Battery.simx] |
Two-Level Factorial | 2.64 MB | Two-level factorial design, “Filtrate” [Filtrate.simx] |
Foldover Designs | 1.24 MB | Augment a factorial design by foldover (DX8 tutorial) [Biker.dxp] |
Taguchi Designs | 641.36 KB | Taguchi designs (DX8 tutorial) [Taguchi-L16.dxp] |
Split-Plot General Multilevel-Categoric Factorial | 1.03 MB | Build and analyze a split-plot factorial design, “Pulp” [Pulp.simx] |
Tutorials (DX Only) | Size | Description |
---|---|---|
One Factor RSM | 1.86 MB | Build and analyze a one-factor RSM design, “Driving” |
Multi-Factor RSM | 3.46 MB | Multifactor response surface, “RSM” [RSM.dxpx & RSM-a.dxpx] |
Optimal Numeric | 1.05 MB | Adding multifactor constraints to an optimal design |
Mixture Designs | 2.64 MB | Build and analyze a simplex-lattice design, “Mix” [Mix.dxpx & Mix-a.dxpx] |
Combined Mixture-Process | 1.65 MB | Build and analyze a mixture design with process factors, “Fish Patties” [Fish Patties.simx] |
Optimal Categoric | 1.28 MB | Adding categoric factors to an optimal design (DX8 tutorial) [Peel.dxp] |
Historical RSM | 824.21 KB | Analysis of highly correlated data, “Longley” (DX8 tutorial) [Longley.dxp] |
Feature Tour | Size | Description |
---|---|---|
Simple Sample | 416.36 KB | How to use simple sample designs [Simple Sample-Motor Shaft.dxpx] |
Split-Plot Factorial | 698.29 KB | How to build a factorial split-plot [PCR with data.dxpx & PCR.simx] |
Split-Plot Optimal | 298.23 KB | How to build an optimal split-plot [PCR as Optimal Build (starter).dxpx] |
Verification Runs | 455.64 KB | How to use verification runs [RSM-a.dxpx] (DX9 Only) |
Confirmation Runs | 323.3 KB | How to enter confirmation runs [RSM-a.dxpx] (DX9 Only) |
Documents | Size | Description |
---|---|---|
What’s new in version 9? | 1.82 MB | Illustrated highlights of new features in Design-Expert 9 |
New Factorial Design Builder | 370.85 KB | DX9 factorial design builder: screenshots and comparison to DX8 |
Design-Expert 9 Tutorials | 24.28 MB | Installs all Design-Expert tutorials and data files. |
Design-Ease 9 Tutorials | 10.81 MB | Installs all Design-Ease tutorials and data files. |
Tutorial Name | |
---|---|
Help | Video tutorial help and navigation tips |
Factorial Design | |
1 | Building a 2-level factorial and sorting data |
2 | Analyzing the data in a 2-level factorial |
3 | Exploring the model graphs |
4 | Finding the optimum settings and confirming the model |
Mixture Design | |
1 | Building and Analyzing an Optimal Mixture Design |
Design-Expert® (and Design-Ease®) software is published by Stat-Ease, Inc., Minneapolis, MN USA (www.statease.com).
Design-Ease® software is the ‘light’ version of the far more comprehensive Design-Expert® software from Stat-Ease, which offers response surface methods (RSM) and mixture designs for product formulators. However, if all you need are the 20% of DOE tools that return 80% of the potential gains for process improvement, Design-Ease may be just what you need and no more, thus keeping it simple statistically (KISS).
Design-Ease provides only factorials for screening and characterization of processes–not response surface methods (RSM), mixture or combined designs, which are available only in Design-Expert.
Good news for network administrators
New more flexible and easier-to-use license manager with greater power to serve enterprise users: For example, network ‘seats’ can be checked out to individual laptops and multiple opening of the program on a specific computer will only use one seat.
Component | Minimum |
---|---|
Processor | 500 MHz |
Hard Drive | 100 MB free space |
RAM | 512 MB |
Display | 800×600 |
Operating System |
|
Microsoft .NET Framework | Version 4.0 |
Data and simulation files associated with the tutorials need to be downloaded separately.
There are a few DX8 tutorials noted below that will be replaced by DX9 versions as they become available.
Tutorials (DX & DE) | Size | Description |
---|---|---|
General Multilevel-Categoric One-Factor | 1.99 MB | Build and analyze a one-factor factorial design, “Bowling” |
General Multilevel-Categoric Factorial | 1.73 MB | Build and analyze a three-level design with factorial analysis, “Battery” [Battery.simx] |
Two-Level Factorial | 2.64 MB | Two-level factorial design, “Filtrate” [Filtrate.simx] |
Foldover Designs | 1.24 MB | Augment a factorial design by foldover (DX8 tutorial) [Biker.dxp] |
Taguchi Designs | 641.36 KB | Taguchi designs (DX8 tutorial) [Taguchi-L16.dxp] |
Split-Plot General Multilevel-Categoric Factorial | 1.03 MB | Build and analyze a split-plot factorial design, “Pulp” [Pulp.simx] |
Tutorials (DX Only) | Size | Description |
---|---|---|
One Factor RSM | 1.86 MB | Build and analyze a one-factor RSM design, “Driving” |
Multi-Factor RSM | 3.46 MB | Multifactor response surface, “RSM” [RSM.dxpx & RSM-a.dxpx] |
Optimal Numeric | 1.05 MB | Adding multifactor constraints to an optimal design |
Mixture Designs | 2.64 MB | Build and analyze a simplex-lattice design, “Mix” [Mix.dxpx & Mix-a.dxpx] |
Combined Mixture-Process | 1.65 MB | Build and analyze a mixture design with process factors, “Fish Patties” [Fish Patties.simx] |
Optimal Categoric | 1.28 MB | Adding categoric factors to an optimal design (DX8 tutorial) [Peel.dxp] |
Historical RSM | 824.21 KB | Analysis of highly correlated data, “Longley” (DX8 tutorial) [Longley.dxp] |
Feature Tour | Size | Description |
---|---|---|
Simple Sample | 416.36 KB | How to use simple sample designs [Simple Sample-Motor Shaft.dxpx] |
Split-Plot Factorial | 698.29 KB | How to build a factorial split-plot [PCR with data.dxpx & PCR.simx] |
Split-Plot Optimal | 298.23 KB | How to build an optimal split-plot [PCR as Optimal Build (starter).dxpx] |
Verification Runs | 455.64 KB | How to use verification runs [RSM-a.dxpx] (DX9 Only) |
Confirmation Runs | 323.3 KB | How to enter confirmation runs [RSM-a.dxpx] (DX9 Only) |
Documents | Size | Description |
---|---|---|
What’s new in version 9? | 1.82 MB | Illustrated highlights of new features in Design-Expert 9 |
New Factorial Design Builder | 370.85 KB | DX9 factorial design builder: screenshots and comparison to DX8 |
Design-Expert 9 Tutorials | 24.28 MB | Installs all Design-Expert tutorials and data files. |
Design-Ease 9 Tutorials | 10.81 MB | Installs all Design-Ease tutorials and data files. |
Tutorial Name | |
---|---|
Help | Video tutorial help and navigation tips |
Factorial Design | |
1 | Building a 2-level factorial and sorting data |
2 | Analyzing the data in a 2-level factorial |
3 | Exploring the model graphs |
4 | Finding the optimum settings and confirming the model |
Mixture Design | |
1 | Building and Analyzing an Optimal Mixture Design |
Design-Expert® (and Design-Ease®) software is published by Stat-Ease, Inc., Minneapolis, MN USA (www.statease.com).
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