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What is Dataspace?

Dataspace is a research and experience management platform that supports data collection and analysis. This article introduces key features to help you get started with Dataspace.

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Dataspace is a research and experience management platform that supports data collection and analysis. You can operate everything from survey editing and data collection, to panel registration and collection group management, to in-depth analysis using survey data analysis, all in one Dataspace. Below we will take a more detailed look at the features provided by Dataspace.

1. Integrated management of research & experience management data

You can manage research data collected to solve business problems and customer experience data collected for customer management in one place in Dataspace. In addition, Dataspace can upload and manage data collected internally through external survey tools such as Google Forms and customer data in your own DB at once.

If you have had difficulty in integrating and managing data because you used different tools for different work purposes, or if you felt burdened by storing key data on the local drive of each data manager's PC, try utilizing Data Space to integrate and manage key data assets in one place.

2. Provides analysis optimized for survey data analysis

Both research and experience management data collected through Dataspace and data collected through external survey tools can be analyzed in Dataspace.

In the analysis, you can easily analyze various types of survey data such as objective, subjective, and evaluation types by visualizing them in various types such as circular charts, bar charts, and word clouds. Also, you can use the cross-analysis function to perform comparative analysis by segment, and the AI technology to automatically interpret data and create PPT reports.

📌 Learn more about the analysis

Analysis is a survey data analysis tool developed by Opensurvey. You can experience a new data analysis experience that has never been seen before with easier analysis, automatic report download, and sharing functions. If you have any further questions about Analysis, please check out the article below.

3. Provides integrated survey operation functions that replace external experts

Surveys for research and experience management require a variety of tasks in addition to creating questionnaires and analyzing data. These tasks include selecting respondents suitable for the survey, sending out surveys, encouraging non-respondents, providing rewards, and cleaning data. Many companies want to conduct all the survey processes themselves, but they often give up on collecting their own data because they face difficulties from the operation stage.

However, Dataspace provides integrated survey operation functions so that all of the above processes can be performed in a single tool. Thanks to this, you can use just one Dataspace to create a questionnaire, manage projects, register panels, select respondents, send surveys, encourage non-respondents, pay rewards, manage insincere panels, clean data, and conduct in-depth data analysis.

4. Security technology that supports flexible and safe collaboration

The data space is safely managed by Opensurvey, which has acquired the ‘Information Protection and Personal Information Management System Certification (ISMS-P)’.

It provides security technology that allows flexible collaboration while safely managing data. Related practitioners can access and work on research and experience management data together in a single space, and permissions can be set separately for each project to prevent employees from viewing it depending on the project.

🤔 Dataspace, which companies would benefit from using it?

Dataspace can be a great help to any business that values data.

  • Companies that want to integrate and manage scattered data in one place

  • Businesses that want to combine customer profiles and purchase data with survey data for analysis

  • Companies that want to streamline human resources invested in research operations such as survey distribution, reward payment, and panel management.

  • Companies that want to quickly and easily analyze various types of complex data, such as VoC or multiple choice/ranking type data left directly by customers

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