Displayr

Seamlessly integrates with a vast array of data sources, including SQL databases, Excel, CSV, text files, SPSS, various survey platforms, and APIs, allowing you to centralize all your data.

Offers a comprehensive suite of analytical capabilities, from basic summary tables and crosstabs to advanced techniques like regression, text analysis, segmentation, and machine learning.

Provides flexible output options for your insights, including interactive data visualizations, custom data apps, dynamic dashboards, traditional presentations (PowerPoint), Excel files, PDFs, and web pages.

Leverages artificial intelligence across the platform to automate repetitive tasks like text categorization, data refresh, and the generation of analyses and reports, significantly reducing manual effort.

Allows users to save and re-apply templates for analyses, visualizations, page layouts, entire documents, and even AI prompts, ensuring consistency and accelerating future projects.

Facilitates teamwork by supporting multiple concurrent users, customizable user roles, in-document comments and annotations, and shared workspaces.

Automatically updates existing reports and dashboards with new data sets, ensuring that all analyses and visualizations are always current without manual intervention.

Empowers users to create unique and tailored visualizations using code (e.g., Plotly, Leaflet, Highcharter, Observable, HTML, R), which can then be saved as reusable templates.

Enables experts to create bespoke analyses using Javascript, R, and Python, saving them as templates or 'rules' to standardize complex workflows or create new features accessible from menus.

Utilizes AI to quickly process and categorize open-ended text responses, including sentiment analysis, entity extraction, and automatic theme detection, turning qualitative data into actionable insights.

Streamlines the creation of professional presentations by allowing direct export of analyses and visualizations into editable PowerPoint charts and slides.

Build dynamic and engaging dashboards with features like real-time filtering and drill-downs, allowing stakeholders to explore data independently.

Automatically applies over 60 different statistical tests based on the properties of your data, weights, and sample size, ensuring rigorous and reliable results.

Helps identify the key factors or independent variables that significantly influence a dependent variable, such as customer satisfaction or purchase intent.

A specialized technique for measuring preferences, allowing you to understand which items are most and least preferred from a list.

Used to determine how people value different features of a product or service, aiding in product development and pricing strategies.

Facilitates the analysis of data collected over time from the same subjects, ideal for tracking trends, changes, and campaign effectiveness.

Provides robust tools for applying statistical weights to data, essential for ensuring representativeness, especially in survey research.

Adheres to high security standards (SOC 2 & ISO 27001 certified) with features like regional data hosting, SSO, MFA, and end-to-end encryption to protect sensitive data.

Offers a Help Center, ebooks, webinars, a blog, demo videos, and customer support to assist users in maximizing the platform's capabilities.