The Advanced Analytics Survey 19 Analyzer (free version)

Survey results KPI Dashboard Product Dashboard Product Comparison Documentation

Survey Results

This screen shows the responses to a single question in The Advanced Analytics Survey. You can choose the question in the dropdown box in the top left corner of the report. The filters to the left of the screen can be used to modify the chart.

Question

Products

(Premium Version Only)

Region

Industry

No. of employees

User type

Country

Which department do you work in?

N = 582

KPI Dashboard

(Demo of the premium version. Contains dummy data.)

The KPI Dashboard allows you to compare product results by criteria (KPIs). For each KPI, values are shown for all the products in the peer group selected in the peer group filter. The peer group average is displayed as a gray bar. All products displayed above the gray bar are above average in the peer group, and those below the gray bar are below average. At the top of the screen, you can choose which KPI and peer group to analyze.

KPI filter

Peer group filter

Product Dashboard

(Demo of the premium version. Contains dummy data.)

This report shows a summary of the KPI results for a single product. The dashboard displays the results for aggregated KPIs in bold and the root KPIs in regular. Simply select a peer group and product in the filters at the top of the screen. The product filter will only display the products in the selected peer group. The peer group filter will only display the peer groups in which the selected product appears.

Product filter

Peer group filter

Product Comparison

(Demo of the premium version. Contains dummy data.)

This screen allows you to make your own short list of products and compare them directly against each other based on multiple criteria. First select a peer group that you want as the basis for the product comparison in the filter. Then select the relevant criteria (KPIs). Multiple KPIs can be selected in this filter. Finally select the products you wish to compare.

Peer group

KPI

Product

About The Advanced Analytics Analyzer

The Advanced Analytics Survey Analyzer web app is an interactive tool that enables you to perform your own custom analysis of The Advanced Analytics Survey data. The app contains results from all the questions asked in The Advanced Analytics Survey 19. Product-related results based on a series of important criteria (known here as KPIs – Key Performance Indicators) are also available to view.

AbbreviationQuestion
Demographics: CountryCountry
Demographics: DepartmentWhich department do you work in?
Demographics: European regionsEuropean regions
Demographics: IndustryIndustry sector
Demographics: Number of product usersNumber of Advanced Analytics product users
Demographics: Number of Advanced Analytics usersNumber of Advanced Analytics users
Demographics: Number of employeesNumber of employees
Demographics: Percentage of Advanced Analytics usersPercentage of Advanced Analytics users in company
Demographics: PositionPosition in company
Demographics: RegionRegion
Selection: Acquired productsWhich products has your organization acquired?
Selection: Chosen productWith which product are you most familiar?
Selection: Evaluated productsWhich products has your organization evaluated?
Selection: Reasons to buyWhy was the product chosen?
Selection: Selection typeDid your organization conduct a formal product selection?
Implementation: Admin satisfaction (technical)How would you rate the level of administrator satisfaction with the implementation of technical aspects of your project?
Implementation: Project lengthHow long did it take to implement the advanced analytics software?
Implementation: Project on-budgetHow would you rate the level of satisfaction with the completion of the project within the budget originally specified?
Implementation: Project on-timeHow would you rate the level of satisfaction with the completion of the project within the timeframe originally specified?
Implementation: User satisfaction (business)How would you rate the level of user satisfaction with the implementation of business aspects of your project?
Implementation: User satisfaction (technical)How would you rate the level of user satisfaction with the implementation of technical aspects of your project?
Implementation: Integration in business processesHow would you rate the level of satisfaction with integration in business processes?
Product: Application ageWhen did your company start using the product?
Product: Price-to-valueHow would you rate the price-to-value of your advanced analytics product?
Product: Usage problemsWhat, if any, are the most serious problems in the use of your product?
Product: Vendor supportHow would you rate the level of support provided by the vendor?
Product: RecommendationWould you recommend others to buy your advanced analytics product?
Usage: Data varietyWhich of the following data sources/formats does your company access?
Usage: Data preparationWhich of the following data preparation capabilities does your company use?
Usage: Use casesWhich of the following use cases does your company use?
Capabilities: User guidance capabilitiesHow would you rate the governance capabilities of your product?
Capabilities: Governance capabilitiesHow would you rate the user guidance capabilities of your product?
Capabilities: Collaborative capabilitiesHow would you rate the collaborative capabilities of your product?
Capabilities: Possibilities to implement analytical modelsHow would you rate the possibilities to implement analytical models?
Capabilities: FunctionalityHow would you rate the functionality for data preparation, visualization and machine learning of your product?
Tasks: Advanced analysisDo you use or plan to use your product for advanced analysis?
Tasks: Visual analysis/data explorationDo you use or plan to use your product for visual analysis/data exploration?
Tasks: Data visualizationDo you use or plan to use your product for data visualization?
Tasks: Data accessDo you use or plan to use your product for data access?
Tasks: Data manipulation/data prepDo you use or plan to use your product for data manipulation/data preparation?
Tasks: Data profilingDo you use or plan to use your product for data profiling?
Tasks: ClassificationDo you use or plan to use your product for classification?
Tasks: ClusteringDo you use or plan to use your product for clustering?
Tasks: Time series analysisDo you use or plan to use your product for time series analysis?
Tasks: Deployment/ScoringDo you use or plan to use your product for deployment/scoring?
Tasks: Model managementDo you use or plan to use your product for model management?
Benefits: Improved time to insightTo what extent has time to insight improved?
Benefits: Better quality of analytical resultsTo what extent has the quality of analytical results improved?
Benefits: Increased transparency of data usageTo what extent has the transparency of data usage improved?
Benefits: Use/re-use of analytical insightsTo what extent has the re-use and use of analytical insights improved?
Benefits: Reduced resource requirementsTo what extent have resource requirements decreased?
Benefits: Improved employee satisfactionTo what extent has your employee satisfaction improved?
Benefits: Saved headcountTo what extent have you saved on headcount in business departments or IT?
Benefits: Reduced costsTo what extent have you reduced costs? (IT or non-IT)
Non-commercial products: Application ageWhen did your company start using the product?
Non-commercial products: Acquired productsWhich products has your organization acquired?
Non-commercial products: Admin satisfaction (technical)How would you rate the level of administrator satisfaction with the implementation of technical aspects of your project?
Non-commercial products: Chosen productWith which product are you most familiar?
Non-commercial products: Evaluated productsWhich products has your organization evaluated?
Non-commercial products: Price-to-valueHow would you rate the price-to-value of your product?
Non-commercial products: ProblemsWhat, if any, are the most serious problems in the use of your product?
Non-commercial products: Project lengthHow do you rate the level of administrator satisfaction with the implementation of technical aspects of your project?
Non-commercial products: Project on-budgetHow would you rate the level of satisfaction with the completion of the project within the budget originally specified?
Non-commercial products: Project on-timeHow would you rate the level of satisfaction with the completion of the project within the timeframe originally specified?
Non-commercial products: Reasons to buyWhy was your your product chosen?
Non-commercial products: RecommendationWould you recommend others to buy your advanced analytics product?
Non-commercial products: Integration in business processesHow would you rate the level of satisfaction with integration in business processes?
Non-commercial products: User satisfaction (business)How would you rate the level of user satisfaction with the implementation of business aspects of your project?
Non-commercial products: User satisfaction (technical)How would you rate the level of user satisfaction with the implementation of technical aspects of your project?
Non-commercial products benefits: Better quality of analytical resultsTo what extent has the quality of analytical results improved?
Non-commercial products benefits: Improved employee satisfactionTo what extent has your employee satisfaction improved?
Non-commercial products benefits: Improved time to insightTo what extent has time to insight improved?
Non-commercial products benefits: Increased transparency of data usageTo what extent has the transparency of data usage improved?
Non-commercial products benefits: Use/Re-use of analytical insightsTo what extent has the re-use and use of analytical insights improved?
Non-commercial products benefits: Reduced costsTo what extent have you reduced costs? (IT or non-IT)
Non-commercial products benefits: Reduced resource requirements for analyticsTo what extent have resource requirements decreased?
Non-commercial products benefits: Saved headcountTo what extent have you saved on headcount in business departments or IT?
Non-commercial products capabilities: Collaborative capabilitiesHow would you rate the collaborative capabilities of your product?
Non-commercial products capabilities: FunctionalityHow would you rate the functionality for data preparation, visualization and machine learning of your product?
Non-commercial products capabilities: Governance capabilitiesHow would you rate the governance capabilities of your product?
Non-commercial products capabilities: Implementation of analytical modelsHow would you rate the possibilities to implement analytical models?
Non-commercial products capabilities: User guidance capabilitiesHow would you rate the user guidance capabilities of your product?
Non-commercial products tasks: Advanced analysisDo you use or plan to use your product for advanced analysis?
Non-commercial products tasks: ClassificationDo you use or plan to use your product for classification?
Non-commercial products tasks: ClusteringDo you use or plan to use your product for clustering?
Non-commercial products tasks: Data accessDo you use or plan to use your product for data access?
Non-commercial products tasks: Data manipulation/data preparationDo you use or plan to use your product for data manipulation/data preparation?
Non-commercial products tasks: Data profilingDo you use or plan to use your product for data profiling?
Non-commercial products tasks: Data visualizationDo you use or plan to use your product for data visualization?
Non-commercial products tasks: Deployment/ScoringDo you use or plan to use your product for deployment/scoring?
Non-commercial products tasks: Model managementDo you use or plan to use your product for model management?
Non-commercial products tasks: Time series analysisDo you use or plan to use your product for time series analysis?
Non-commercial products tasks: Visual analysis/data explorationDo you use or plan to use your product for visual analysis/data exploration?
Non-commercial products usage: Data preparationWhich of the following data preparation capabilities does your company use?
Non-commercial products usage: Data varietyWhich of the following data sources/formats does your company access?
Non-commercial products usage: Use casesWhich of the following use cases does your company use?
Trends: Cloud useDo you currently use a cloud-based advanced analytics, data discovery or data preparation solution, or can you imagine doing so?
Trends: Reasons not to use cloudWhat are the most important reasons for not using cloud-based tools?
Trends: Reasons to use cloudWhat are the main reasons for using or wanting to use a cloud-based solution?
Trends: Deep learningIn the context of digitalization, how important is deep learning to your company's success?
Trends: Predictive maintenanceIn the context of digitalization, how important is predictive maintenance to your company's success?
Trends: Artificial intelligence/cognitive applicationsIn the context of digitalization, how important are artificial intelligence/cognitive applications to your company's success?
Trends: Data literacyIn the context of digitalization, how important is data literacy to your company's success?
Trends: Prescriptive analyticsIn the context of digitalization, how important is prescriptive analytics to your company's success?
Trends: Automated machine learningIn the context of digitalization, how important is automated machine learning to your company's success?
Advanced analytics platforms

Advanced analytics is a generic term for analysis based on mathematical models. Its aim is to identify relationships between variables in order to derive insights from existing data (patterns) as well as new data (forecasts). This peer group contains advanced analytics platforms that provide a broad range of algorithms. They also offer data preparation and visualization functionality, together with options for model deployment.

Data discovery products

Data discovery is the business user/analyst driven process of discovering patterns and outliers in data. This peer group includes products that focus on all the sub-elements of data discovery: data preparation, visual analysis and guided advanced analytics.

Data preparation products

Data preparation is the process of cleaning, structuring and enriching data for use in data discovery and/or advanced analytics. This peer group includes products and vendors that support these tasks.

Software generalists

The ‘Software generalists’ peer group includes products which are part of a vendor‘s broader business software portfolio. Customers that standardize on such vendors may be more inclined to select their standard provider’s solutions.

ProductNumber of answers
Alteryx35
Dataiku32
IBM SPSS/WS19
IBM SPSS/WS/CA26
Microsoft Azure/SQL Server36
Microsoft Power BI44
Qlik21
RapidMiner21
SAS28
Tableau24
Aggregated KPIsRoot KPIs
Business valueBusiness benefits
Project success
Project length
Customer satisfactionPrice-to-value
Recommendation
Vendor support
Product satisfaction
User experienceEase of use
Code-free usage
User guidance
Collaboration
Openness
Data managementPerformance satisfaction
Data volume
Data variety
Governance
AnalyticsData preparation
Data visualization
Visual analysis
Advanced analytics breadth
OperationalizationModel management
Model scoring
KPIShort explanation
Business benefitsThis KPI is based on the achievement level of a variety of business benefits.
Project successThis KPI is based on the implementation satisfaction level and the frequency of projects completed on time and on budget.
Project lengthThis KPI is based on how quickly the product is implemented.
Business valueThis KPI combines the ‘Business benefits’, ‘Project success’ and ‘Project length’ KPIs.
Price-to-valueThis KPI is based on how users rate their software in terms of price-to-value ratio.
RecommendationThis KPI is based on the proportion of users that say they would recommend the product to others.
Vendor supportThis KPI measures user satisfaction with the level of vendor support provided for the product.
Product satisfactionThis KPI is based on the frequency of problems encountered with the product.
Customer satisfactionThis KPI combines the ‘Price-to-value’, ‘Recommendation’, ‘Vendor support’ and ‘Product satisfaction’ KPIs.
Ease of useThis KPI is based on how often the product was chosen for its ease of use, and on the level of complaints about ease of use post-implementation.
Code-free usageThis KPI is based on how often the product was chosen for its code-free environment.
User guidanceThis KPI measures user satisfaction with the on-screen guidance the software offers to users.
CollaborationThis KPI measures user satisfaction with the software‘s collaboration capabilities.
OpennessThis KPI is based on how often the product was chosen for its openness to other programming languages.
User experienceThe ‘User experience’ KPI combines the ‘Ease of use’, ‘Code-free usage’, ‘User guidance’, ‘Collaboration’ and ‘Openness’ KPIs.
Performance satisfactionThis KPI measures the frequency of complaints about the system’s performance.
Data volumeThis KPI is based on how often the product was chosen for its ability to handle large data volumes.
Data varietyThis KPI is based on the variety of data sources and formats the software is used with.
GovernanceThis KPI measures user satisfaction with the software‘s governance capabilities.
Data managementThis KPI combines the ‘Performance satisfaction’, ‘Data volume’, ‘Data variety’ and ‘Governance’ KPIs.
Data preparationThis KPI is based on the variety of data preparation steps the software is used for.
Data visualizationThis KPI measures the extent to which the software is used for data visualization.
Visual analysisThis KPI measures the extent to which the software is used for visual analysis.
Advanced analytics breadthThis KPI measures the breadth of analytical applications the software is used for.
AnalyticsThis KPI combines the ‘Data preparation’, ‘Data visualization’, ‘Visual analysis’ and ‘Advanced analytics breadth’ KPIs.
Model scoringThis KPI measures the extent to which the software is used for model scoring.
Model managementThis KPI measures the extent to which the software is used for model management.
OperationalizationThis KPI combines the ‘Model scoring’ and ‘Model management’ KPIs.