Crunch.io is a modern survey data analysis platform developed by survey experts, market researchers, data scientists, and engineers. We were frustrated by the current tools used to compile, analyse, visualise and deliver survey data. So, we built Crunch.io to bring simplicity and usability to survey data analysis. With Crunch.io, you can: Build crosstabs with a drag-and-drop and a graph with one click. Export real PowerPoint objects. Build and deliver a dashboard in 5 minutes. Get rid of two-day turnarounds to answer questions.

Infotools is an award-winning software platform and services provider. The platform, Infotools Harmoni, has been purpose-built for market research data, by market researchers. From data processing through to analysis, reporting, visualization, dashboards, distribution, and data alerts Harmoni is a true ‘data-to-decision-making’ solution. Infotools also have data experts who can help you with things like research design and management, data design and organization, and insights discovery, analysis, visualization and reporting. Established in 1990, and with a presence in the US, Europe, South Africa and New Zealand, Infotools works with some of the world’s best-known brands, including Coca-Cola, Orange, Samsung and Mondelēz, as well as boutique and large research agencies such as MDI , Nielsen and Ipsos.

KnowledgeHound is a search driven analytics platform for customer survey data. Survey data and insights can be uploaded from any research platform or provider; natural language searches can be used to analyze data and discover new insights; studies can be tagged and organized for exploration; and the ‘stories’ feature enables insight nuggets from multiple studies to be collated in a Pinterest-like wall.

TabX is a survey analysis, cross-tabulation and dashboard platform for market research data.

Displayr is a data science, visualization, and reporting platform with import options from SPSS, SQL tables, Excel, CSV and any other data source via R. Point and click analytics are available for statistical techniques such as ANOVA, cluster analysis, correlation and various regression approaches; code-based analytics are possible with R integration. A range of visualisation options can then be published to web pages, Excel or PowerPoint.