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Reporting Capabilities

From simple to complex, choose the options to meet your needs

Deliver through standard cross tables, PowerPoint or choose interactive infographic dashboards. Easily enable stat testing as required. Use our templates library to speed production time and use our built-in dynamic icon library to quickly make visual impact.

Unique Data Model Provides Easy Access to Raw Data

Dapresy Pro offers a unique data model that is specifically customized for market research data structures. Our simple user-access allows analysts to view raw respondent level data which provides a wide range of capabilities when reporting and generating guided analytics. At any time during the reporting process, you can always access the raw data.

Filters Provide Powerful Drilldown into the Data

By using global filters, analysts actually create fewer reports and dashboard views, minimizing the work needed to deliver a project quickly and accurately, while providing end-users more flexibility. End-users can quickly filter results to view, for example, target groups, geographies and time periods. When building dashboards and reports you can apply filters either at an object level, for example on a specific chart or at the dashboard or report level, so all the results on a page are filtered. These two ways of using filters are often combined. The filters are easily applied via standard intuitive user-friendly interfaces and any categorical question in the survey can be used as a filter. If you have a requirement to apply a specific segmentation to your reporting that might not be specified in any single survey question, these can easily be created by computing new variables which then are used as filters.

Track Your Brand Globally in one Powerful Platform

  • Track KPIs on global level
  • Manage marketing effectiveness
  • Show open ended answers in different languages

Filter Comparisons Add Extended Flexibility

Dapresy Pro has the native ability to nest multiple compare filters and a flexible setup of charts and tables. Analysts can either place comparison groups in the legend or axis in charts, or in rows and columns in tables. It is possible to create a layout that meets just about any requirement when comparing different target groups. For example, the different target groups can also be compared to the total result. It can show the actual values or the difference in percentage units or percentage shares by using the provided benchmark functionality.

Hierarchical Filters Automate Comparisons

Hierarchical filtering is most often used in projects where the reporting follows the organizational structure of a company, for example, in employee research and customer satisfaction projects. By using a hierarchical filter structure, it is easy to add automated comparisons to results between different levels in the organization. For example, each manager at a team level can have their results benchmarked to their relevant business unit results, the overall company results and so on. The hierarchical filter structure makes it very efficient to set access rights to different units. The hierarchical filter structure is easily derived from the raw survey data in a user-friendly interface. The structure can be changed in ongoing projects, units can be moved or deleted in the structure and the access rights of the users can at any time be updated to correctly reflect changes in the organization.

Automate Report Versioning

The automated PPT and PDF exports can be based on the cascading structure of the hierarchical filter. This provides the ability to easily create hundreds (or thousands) of PPT/PDF reports with a few clicks creating, for example, a single report per unit with each unit compared to all of the relevant levels in the structure.

Flexible Filtering

Administrators can easily define which filters should be applied to which data object source in the reporting and which filters are to be applied to all data objects. For instance, to apply global filtering to sophisticated multi-data source dashboards with survey data, media spending and social media data, all the data sets can be filtered differently even when shown in the same dashboard. This logic allows drilldown into the detail of the survey data, while the media spending results are shown at a higher level.

Create Custom Guided Journeys

As a complement to using global filters, a Guided Journey can be created. A Guided Journey is based on several reporting slides and customized navigation. The user starts at a very high level and drills down in the data through custom defined navigation. For example, the first view might show the results for multiple countries. Clicking an Italian flag reveals the Italian results. This kind of logic can be used in unlimited levels and directions – let your imagination set the limits.

TNS Gallup Norway engages Dapresy consulting services and delights telecom client.

”Dapresy helped us with everything. This included the visual design, creating the reports, mapping the data and migrating historical data.” Discover how TNS Gallup Norway engaged Dapresy and delighted telecom client.

The New Frontier of Customer Experience and Research Technology: Forsta​Learn More