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Heathrow is Europe’s largest airport and one of the world’s top international aviation hubs. As the UK’s global gateway, Heathrow welcomes almost 80 million passengers every year. The airport is home to more than 80 airlines and is Britain’s largest cargo port, helping to drive British trade growth by connecting the nation to more than […]
Previously, customer experience programs were mainly based on infrequent surveys, where customers were often asked questions long after their interaction with the supplier and where actions based on the results were taken more at a strategic level. Nowadays event driven customer feedback is more common, where the focus is to act quickly on certain trends, […]
Dapresy is proud to announce our proprietary MyStories module that allows dashboard users to easily configure personalized custom views of the information. The MyStories module allows Report Users to configure and customize data into their own personalized views for online presentation or easy download to PPT. Report Users can easily filter and save customized report […]
We live in the era of big data, gathering more and more information about customer habits, likes/dislikes, and trends. The challenge is “What do we do with it all?”. Thinking in straight lines Traditionally, data has been distributed by either focusing on a single study optimized for a specific use, or, distributing the data to […]
Read about how Dapresy all began from our very own CEO and co-founder Tobi Andersson!
One of the most valuable views of your market research or customer satisfaction data are via data tables. Tabulated data have stood the test of time because if you know how to read it, model it, work with it, the value of the data itself will be revealed in its analysis.
At first sight, designing a dashboard looks easy. Just select some charts and graphs from the library, adjust their settings, add some filters, apply some stats and you are ready to distribute information to all your decision makers. But that begs a few questions. Will it really encourage users to make the most of their data? Will it be enough to motivate them to and new insights? Will it help them to make smarter decisions?