The Weather Company (an IBM company) wanted to demonstrate how advertising is affected by the weather. With Watson as our AI, we were tasked to create an experience that used big data analytics to provide enterprise clients with short-term customized forecasts.
We set out to build a SaaS product that used their weather data and mashed it up with Social Media data, pollutant data, purchase data and other sources to figure out how to translate weather data into business actions.
The Challenge
The Weather Channel wanted to build a SaaS product that used their weather data and mashed it up with Social Media data, pollutant data, purchase data and other sources to figure out how to translate weather data into business actions.
These wireframes not only confirmed proof of concept, but was enough for us to get started researching ways to visualize the data. We turned to a variety of jquery / javascript libraries for inspiration and created layouts that complemented the code base capabilities. We discussed our ideas with their developers to further the concepts. With their feedback in mind we set out to visualize the platform.
Our Approach
We reviewed the supplied analytics and developed KPI’s on what topics brought the most value to the platform. We shared our notes with key stakeholders which furthered the ideas. We agreed that several strong product ideas came from our ideas which we quickly iterated into low fidelity wireframes and shared with dev.
These wireframes not only confirmed proof of concept but was enough for us to get started researching ways to visualize the data. We turned to a variety of jquery / javascript libraries for inspiration and created layouts that complemented the code base capabilities. We discussed our ideas with their developers to further the concepts. With their feedback in mind, we set out to visualize the platform.
