This screen shows the responses to a single question in The Data Management 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.
N = 718
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.
This report shows a summary of the KPI results for a single product. 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.
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.
The Data Management Survey Analyzer web app is an interactive tool that enables you to perform your own custom analysis of The Data Management Survey data. The app contains results from all the questions asked in The Data Management Survey 24. Product-related results based on a series of important criteria (known here as KPIs – Key Performance Indicators) are also available to view.
KPI | Short explanation | |
---|---|---|
Demographics: Country | Country | |
Demographics: Department | Which department do you work in? | |
Demographics: Industry | Industry sector | |
Demographics: Number of administrators | Number of people involved in the general administration of the data management product | |
Demographics: Number of developers | Number of people involved in developing and managing data processes/models/content | |
Demographics: Number of product users | Number of data management product users | |
Demographics: Number of employees | Number of employees | |
Demographics: Percentage of tool users | Percentage of tool users in company | |
Demographics: Position | Position in company | |
Demographics: Region | Region | |
Selection: Acquired products | Which products has your organization acquired? | |
Selection: Chosen product | With which product are you most familiar? | |
Selection: Evaluated products | Which products has your organization evaluated? | |
Selection: Reasons to buy | Why was the product chosen? | |
Implementation: Project length | How long did it take to implement your data management software? | |
Implementation: Project on-budget | How would you rate the level of satisfaction with the completion of the project within the budget originally specified? | |
Implementation: Project on-time | How 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 the business aspects of your project? | |
Implementation: User satisfaction (technical) | How would you rate the level of user satisfaction with the implementation of the technical aspects of your project? | |
Product: Extent of usage | To what extent is your data management product used in the company? | |
Product: Implementer support | How would you rate the level of support provided by the implementer? | |
Product: Price-to-value | How would you rate the price-to-value of your data management product? | |
Product: Recommendation | Would you recommend others to buy your data management product? | |
Product: Scenarios | For which scenarios/application areas do you use your data management tool? | |
Product: Satisfaction | To what degree are you satisfied with your data management tool? | |
Product: Usage problems | What, if any, are the most serious problems in the use of your product? | |
Product: Vendor support | How would you rate the level of support provided by the vendor? | |
Sales experience: General conduct | How would you rate the vendor's general conduct during the purchasing process? | |
Sales experience: Industry knowledge | How would you rate the vendor's understanding of your industry/domain-specific requirements during the purchasing process? | |
Sales experience: Marketing/sales promises kept | How would you rate the vendor's ability to keep marketing/sales promises? | |
Sales experience: Pricing/contract flexibility | How flexible was the vendor in terms of pricing and contract? | |
Sales experience: Software selection process and contract negotiations | What was your overall impression of the software selection process and contract negotiations? | |
Sales experience: Understanding of needs | How would you rate the vendor's ability to understand the needs of your business? | |
Sales experience: Vendor responsiveness | How timely and thorough were the vendor's responses to product-related questions? | |
Features: Active metadata | How would you rate the integration, preparation,analysis and utilization of metadata of your product? | |
Features: Adaptability | How would you rate the adaptability of your product? | |
Features: Connectivity | How would you rate the connectivity of your product? | |
Features: Deployment & operations | How would you rate the support for deployment of applications and operation of your product? | |
Features: Development & content creation | How would you rate the support of development and content creation of your product? | |
Features: Extensibility | How would you rate the extensibility of your product? | |
Features: Functional capabilities | How would you rate the functional capabilities of your product? | |
Features: Performance | How would you rate the performance of your product? | |
Features: Platform reliability | How would you rate the platform reliability of your product? | |
Features: Product enhancement | How would you rate the frequency of product innovations/roadmap quality? | |
Features: Scalability | How would you rate the scalability of your product? | |
Features: Security & privacy | How would you rate the supporting functions for security compliance & privacy of your product? | |
Features: Self-learning | How would you rate the self-learning of your product (support for automation)? | |
Features: Time to market | How would you rate the support to reduce the development and implementation time of your product? | |
Features: Usability | How would you rate the usability of your product? | |
Benefits: Faster implementation of requirements | To what extent has the implementation of requirements accelerated? | |
Benefits: Higher software user satisfaction | To what extent has your software user satisfaction improved? | |
Benefits: Improved business user empowerment | To what extent has business user empowerment improved? | |
Benefits: Improved connectivity and provisioning of relevant source and target systems | To what extent has the connectivity and provisioning of relevant source and target systems improved? | |
Benefits: Improved customer relations/service | To what extent has your customer relations/service improved? | |
Benefits: Improved decision support | To what extent has your decision support improved? | |
Benefits: Improved supplier or partner relationships | To what extent have supplier or partner relationships improved? | |
Benefits: Increased internal/operational process efficiency | To what extent has internal/operational process efficiency increased? | |
Benefits: Increased trust in data | To what extent has your trust in data increased? | |
Benefits: Increasing value from data | To what extent has the value from data increased? | |
Benefits: Reduction of costs | To what extent have you reduced costs (IT or non-IT)? | |
Benefits: Reduction of data silos | To what extent have you reduced data silos? |
Data warehouse platforms provided as a service in the cloud.
Relational database technologies optimized for analytical workloads.
Platforms that support search & discovery, data governance, data collaboration and data access through the automated integration, preparation and analysis/usage of metadata.
Tools to automate data or requirements-driven data warehouse design and implementation.
Tools that support various integration patterns to get data connected and make it usable for business purposes.
Mainly SaaS platforms that provide integrated end-to-end functionality from data integration to analysis with a special focus on business user support to cover self-service requirements.
‘Yellow pages’ to support search for data and to support governance leveraging metadata in a highly user-friendly environment.
Product | Number of answers |
---|---|
Alation Data Catalog | 33 |
Amazon Glue | 21 |
Amazon Redshift | 22 |
AnalyticsCreator | 19 |
Collibra Data Intelligence Cloud | 21 |
dataspot. | 34 |
Datavault Builder | 28 |
Exasol Database | 21 |
Google BigQuery | 21 |
Microsoft Azure Data Factory | 26 |
Microsoft Azure Synapse Analytics | 28 |
Microsoft SQL Server | 94 |
Oracle Database | 20 |
PostgreSQL | 22 |
Qlik Data Integration | 24 |
SAP BW/4HANA | 30 |
SAP Datasphere | 24 |
SAP HANA | 20 |
SAS Data Management | 24 |
Snowflake Cloud Data Platform | 21 |
TimeXtender | 23 |
Aggregated KPIs | Root KPIs |
---|---|
Business Value | Business Benefits |
Project Success | |
Project Length | |
Customer Satisfaction | Price to Value |
Recommendation | |
Vendor Support | |
Implementer Support | |
Product Satisfaction | |
Sales Experience | |
Time to Market | |
Product Enhancement | |
Functionality | Functional Coverage |
Self-Learning | |
Active Metadata | |
Security & Privacy | |
User Experience | Ease of Use |
Adaptability | |
Deployment & Operations | |
Development & Content Creation | |
Competitiveness | Considered for Purchase |
Competitive Win Rate | |
Technical Foundation | Performance |
Platform Reliability | |
Connectivity | |
Scalability | |
Extensibility |
KPI | Short explanation |
---|---|
Business Benefits | This KPI is based on the achievement level of a variety of business benefits. |
Project Success | This KPI is based on the level of satisfaction with implementations and the frequency of projects completed on time and on budget. |
Project Length | This KPI is based on how quickly the product is implemented. |
Business Value | This KPI combines the Business Benefits, Project Success and Project Length KPIs. |
Price to Value | This KPI is based on how users rate their tool in terms of price to value. |
Recommendation | This KPI is based on the proportion of users that say they would recommend the product to others. |
Vendor Support | This KPI measures user satisfaction with the level of vendor support provided for the product. |
Implementer Support | This KPI measures user satisfaction with the level of the implementer's support for the product. |
Product Satisfaction | This KPI is based on the proportion of users that say they are satisfied with their product. |
Sales Experience | This KPI is based on how respondents rate their sales/purchasing experience with the vendor. |
Time to Market | This KPI is based on how users rate their tool in terms of its efficiency and agility to adapt to new requirements. |
Product Enhancement | This KPI is based on how users rate their tool in terms of the product roadmap and frequency of enhancements to the software. |
Customer Satisfaction | This KPI combines the Price to Value, Recommendation, Vendor Support, Implementer Support, Product Satisfaction, Sales Experience, Time to Market and Product Enhancement KPIs. |
Functional Coverage | This KPI is based on how users rate their tool in terms of its functional coverage (i.e., capabilities and functional scope). |
Self-Learning | This KPI reflects the self-learning capabilities of the tool for automation and/or to enhance user experience. |
Active Metadata | This KPI is based on how efficiently users can work with active metadata. |
Security & Privacy | This KPI reflects how users rate their tool in terms of options to secure data and anonymize sensitive data. |
Functionality | This KPI combines the Functional Coverage, Self Learning, Active Metadata and Security & Privacy KPIs. |
Ease of Use | This KPI measures the degree to which respondents consider their data management software to be easy to use. |
Adaptability | This KPI is based on how easily and efficiently users can customize their tool and integrate it into operational processes (other tools, technical infrastructure). |
Deployment & Operations | This KPI is based on the level of support the tool provides for deployment and operations. |
Development & Content Creation | This KPI is based on the level of support provided by the tool for development and content creation. |
User Experience | This KPI combines the Ease of Use, Adaptability, Deployment & Operations and Development & Content Creation KPIs. |
Considered for Purchase | This KPI is based on whether respondents considered purchasing the product. |
Competitive Win Rate | This KPI is based on the percentage of wins in competitive evaluations. |
Competitiveness | This KPI combines the Considered for Purchase and Competitive Win Rate KPIs. |
Performance | This KPI is based on how users rate their tool in terms of performance (query performance, load performance, processing performance). |
Platform Reliability | This KPI is based on how users rate their tool in terms of platform reliability (i.e., stability, functional reliability, monitoring capabilities). |
Connectivity | This KPI is based on how users rate their tool in terms of connectivity to data sources/targets and interfaces to integrate in ecosystems. |
Scalability | This KPI is based on how users rate their tool in terms of scalability. |
Extensibility | This KPI is based on how users rate their tool in terms of extensibility. |
Technical Foundation | This KPI combines the Performance, Platform Reliability, Connectivity, Scalability and Extensibility KPIs to measure the product’s level of innovation. |