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Find out more about the people who bring Dapresy’s products to life… Ken, can you introduce yourself? I’m Ken Brewster, Director at Dapresy UK where I manage the UK client base. Their success is our success, so I see myself as the conduit between what clients want to accomplish and what Dapresy can do. This […]
Create inspiring reports with Dynamic icons Dapresy has a huge, built-in icon library, with over a thousand icons. In our increasingly visual world, icons are a powerful tool for relaying your message. They are used to both create inspiring and eye-catching reports, but also to guide the user to find the most relevant results easier. […]
Easily specify the rendering precision in charts. You can specify which chart rendering logic should be used when creating your StoryTeller reports in Dapresy. Depending on your needs, you can choose whether the chart render uses full precision or if it’s based on displayed values. The left chart is rendered by the shown number of […]
Use heatmap tables to visualize differences in results. The heatmap component in the Dapresy Storyteller is great for visualizing differences in result and to highlight if results are meeting targets or not. The color coding makes it easy to spot the most relevant result. The heatmaps can be colored by either a fixed scale option […]
Find out how Dapresy helped Kantar Media deliver insights on thousands of respondents in annual and biannual syndicated studies, increasing the efficiency of their business
Learn how M/A/R/C Research addressed its clients diverse and complex needs while saving time.
Calculate weights in Dapresy to cut time. From standard to complex weights – setup once and have it automated for future reports and analysis. Calculating weights in Dapresy is easy and it saves you time. Both standard target weighting and R.I.M. weighting methods are supported. The great news is – the process becomes totally automated […]
Dapresy supports percentile calculations on aggregated data. This is especially handy for result benchmarking – allowing you to put results into context. Below we see a typical example from a CX survey. The trend result of the fictive unit “Unit 1234” is compared to the results of all other units in the company. You’ll notice […]
