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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?
Recently the Dapresy team hosted an internal competition amongst its employees to see who could create the most engaging and impactful brand tracking dashboard. All 70 employees (included biz dev, marketing and IT) were given the same set of data and were encouraged to use their creativity to push Dapresy Pro’s functionality to its limits. We interviewed the winner, Almasa Kulenovic, read more..
It should not be a big surprise that Dapresy is growing in Canada with a new office in Toronto. Dapresy’s VP, Jonathon Ware comments: “Toronto is not only Canada’s largest and fastest growing market research hub but is also the home to Amazon (tech hub Toronto), Salesforce, Google, Facebook, LinkedIn, and many other leading online technology and SaaS companies.
Making an impact, being an influencer and achieving a solid ROI are goals market research and customer experience professionals strive for. Yet insights leaders say that “it’s tough out there”, because budgets continue to be reduced, resources are dwindling, talent needs have changed and there is precious little time in the day to think about ways to innovate.
Over the next couple of years, the market research industry will undergo a significant restructuring phase.
New actors in the industry, that offer end-to-end technology solutions, will win ground for those types of research methods that can easily be simplified and streamlined and, that don’t require devoted consultancy services.
About 20 years ago, I started my career in the market research industry at a fieldwork house. As a CATI programmer, I took pride in delivering data in files that were clean, easy to understand, and in a format, that was ready for an analyst to utilize.