Stravito creates Atlas, a visual analysis tool for market research

Stravito, the business information platform democratizing access to market research, launches Atlas, a new exploratory research tool that introduces an innovative and highly visual way to explore available information, reveal hidden links between topics and categories, get additional context on keywords, identify trends, and create stories around key findings.

The product was developed in response to user feedback requesting an inspiring tool that would help non-research teams across the enterprise more easily identify, connect and integrate relevant market and consumer information into business decisions. , depending on the provider.

“Now more than ever, companies need to integrate information into their decision-making process and get closer to their customers. But, often with so much research available, companies face issues of information overload, and employees in global organizations don’t always know what research has been done, and therefore what to look for,” said Thor. Olof Philogène, CEO and founder of Stravito. “Atlas was designed to help any employee, on any team, easily navigate vast amounts of information and discover inspiring research that empowers them to build their own stories and make business decisions. enlightened.”

To use Atlas, individuals begin with a search as broad as a single word, such as “sustainability”. Using a word cloud-like interface, Atlas then presents various clickable “orbs” tagged with topics related to the search term, allowing users to incrementally narrow results based on related topics. In this way,

Atlas gently guides users to information that can be useful for their projects, even though they might not know it to begin with.

Designed to support the creation of an insightful story, Atlas comes with ready-to-use images for decision-making aids and presentations.

Results are presented in a digestible way with key pages, reports, videos and news links all in one place. The most relevant citations and pages are retrieved by intelligent algorithms, which means users can save hours that would have been spent sifting through lengthy reports by simply reading the automated summary of key information.

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Briana R. Cross