The Data Management Survey 20 Analyzer (free version)
Survey Results
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.
Question
Products
(Premium Version Only)
Region
Industry
No. of employees
User type
Country
Which department do you work in?
N = 1012
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. 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 Data Management Survey Analyzer
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 20. 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 product users | Number of data management product users | |
| Demographics: Number of employees | Number of employees | |
| Demographics: Percentage of product users | Percentage of product users in company | |
| Demographics: Position | Position in company | |
| Demographics: Region | Region | |
| Selection: Chosen product | Which data management product would you like to review? | |
| Selection: Reasons to buy | Why was the product chosen? | |
| Product: Recommendation | Would you recommend others to buy your data management product? | |
| Product: Tasks | For which tasks 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? | |
| Features: Breadth of supported use cases | How would you rate the breadth of supported use cases of your product? | |
| Features: Developer productivity | How would you rate the developer productivity of your product? | |
| Features: Functionality | How would you rate the functionality of your product? | |
| Features: Innovative strength | How would you rate the innovative strength of your product? | |
| Features: Openness and integration options | How would you rate the openness and integration options 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: Price-to-value | How would you rate the price-to-value of your product? | |
| Features: Support quality | How would you rate the support quality of your product? | |
| Features: Time to market | How would you rate the time to market of your product? |
Data warehouse technologies
Data warehouse technologies prepare, store and provide data for data warehousing purposes.
Data warehousing automation products
Data warehouse automation products cover data-driven or requirements-driven data warehouse design and implementation. They mainly focus on the simplification of data integration and data modeling tasks through the use of automation.
ETL products
ETL products connect, extract, transform and load data from various source systems to a target system for analytical purposes.
Global vendors
Global vendors have a sales and marketing reach through subsidiaries and/or partners which gives them a truly global presence. They are present worldwide and their products are used all around the world.
Data management products
Data management products are tools that help to connect, transport, transform, prepare and enrich, monitor and protect data.
Analytical database products
Analytical database products prepare, store and provide data for analytical purposes.
| Product | Number of answers |
|---|---|
| Amazon Redshift | 21 |
| AnalyticsCreator | 29 |
| Exasol Database | 29 |
| InfoZoom & IZDQ | 85 |
| Microsoft Azure | 26 |
| Microsoft SQL Server | 58 |
| Microsoft SSIS | 33 |
| Oracle Database | 32 |
| SAP BW on HANA | 28 |
| SAP BW/4HANA | 28 |
| Snowflake | 27 |
| Talend Data Integration | 24 |
| Root KPIs | |
|---|---|
| Developer efficiency | |
| Time to market | |
| Innovation power | |
| Price-to-value | |
| Performance | |
| Platform reliability | |
| Support quality | |
| Openness | |
| Breadth of supported use cases | |
| Functionality | |
| Product satisfaction | |
| Recommendation |
| KPI | Short explanation |
|---|---|
| Product satisfaction | This KPI is based on the proportion of users that say they are satisfied with their product. |
| Developer efficiency | This KPI is based on how users rate their tool in terms of developer productivity, e.g., for testing, deployment, reusability, ease-of-coding and use of metadata. |
| Time to market | This KPI is based on how users rate their tool in terms of adaptability (agility to adapt to new requirements). |
| Innovation power | This KPI is based on how users rate their tool in terms of innovative strength (amount of innovative functionality in the tool, market trend adoption time and rate). |
| Price-to-value | This KPI is based on how users rate their tool in terms of price-to-value ratio. |
| 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). |
| Openness | This KPI is based on how users rate their tool in terms of openness and integration options (connectivity to data sources and interfaces for integration with other applications). |
| Breadth of supported use cases | This KPI is based on how users rate their tool in terms of the range of use cases it supports. |
| Functionality | This KPI is based on how users rate their tool in terms of functionality (i.e., capabilities and functional scope). |
| Product satisfaction | This KPI is based on the proportion of users that say they are satisfied with their product. |
| Recommendation | This KPI is based on the proportion of users that say they would recommend the product to others. |