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 = 1012
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. 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.
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 19. Product-related results based on a series of important criteria (known here as KPIs – Key Performance Indicators) are also available to view.
|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|
|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: Adaptability||How would you rate the adaptability of your product?|
|Features: Availability of skilled users||How would you rate the availability of skilled users of your product?|
|Features: Data accessibility||How would you rate the data accessibility of your product?|
|Features: Developer productivity||How would you rate the developer productivity of your product?|
|Features: Maintenance efficiency||How would you rate the maintenance efficiency of your product?|
|Features: Performance||How would you rate the performance of your product?|
|Features: Price-to-value||How would you rate the price-to-value of your product?|
|Features: Scalability||How would you rate the scalability of your product?|
|Features: Support of compliance requirements||How would you rate the support for compliance requirements of your product?|
|Features: Support for data governance||How would you rate the support for data governance of your product?|
Analytical database products prepare, store and provide data for analytical purposes.
Data warehouse automation products cover the data-driven or requirements-driven data warehouse design and implementation. They are mainly focusing on simplification of data integration and data modeling tasks by providing automatisms.
ETL products connect, extract, transform and load data from various source systems to a target system for analytical purposes.
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.
|Product||Number of answers|
|2150 Datavault Builder||33|
|Microsoft SQL Server||110|
|Pentaho Data Integration||30|
|SAP BW on HANA||44|
|Time to market|
|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.|
|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).|
|Data access||This KPI is based on how users rate their tool in terms of data accessibility (number and variety of data sources supported, quality of support/connectivity to data sources, ease of access to data, data transparency, data quality).|
|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 user feedback about the reasons the product was chosen and complaints about the system’s performance.|
|Scalability||This KPI is based on how users rate their tool in terms of the ability to upscale/downscale automatically with data volume and various workload scenarios.|
|Maintenance efficiency||This KPI is based on how users rate their tool in terms of complexity of system administration and optimization.|
|Compliance||This KPI is based on how users rate their tool in terms of its fulfilment of regulatory requirements, e.g., transparency and auditing.|
|Data governance||This KPI is based on how users rate their tool in terms of support for data governance, i.e. support of privacy/security, policy management, analysis and monitoring capabilities for data.|
|Skills availability||This KPI is based on how users rate their tool in terms of availability of skilled users within and outside the company.|