SWOT Analysis
Description of New Venture
The new venture being proposed will be a company seeks to develop an app that will determine optimal weather days in different locations. The tool will take a massive data set of historical data for all the geographies available – in the US and throughout the world’s major tourist areas to begin with. The user will enter the location, their desired activity and a span of time, and will receive as an output the optimal days, based on historical patterns. The current landscape for someone planning a trip might have generic information (i.e. golfers should visit Arizona in the winter when it’s not 120F outside), but that is often not granular enough. For example, someone thinking of visiting Bora Bora in 2020 can easily find out when rainy season is, but more refined data might help them to choose a specific week during shoulder season that is least likely to have rain. Organizers of outdoor events might also benefit from this application, as it will allow people to find the absolute sweet spots for climate, where there are observable patterns. In many parts of the world, weather can be changeable, but there should be a sweet spot of perfect weather for a given activity. For example, if one wishes to go heli-skiing in British Columbia, they might want to find a weekend when it is most likely to be both sunny but not too cold – an expensive activity like that you want to maximize the chances of perfect weather.
The product name has not yet been determined but will play on the perfect weather theme, to effectively communicate what the app delivers. The team that builds the app can be fairly lean – front end, back end, UX/UI, maybe a writer or designer, and someone to handle the algorithm that will parse the data. The time to develop an app is around 18 weeks, and requires at least the above-mentioned specialist roles, along with project management, product marketing and a number of other roles that might provide greater expertise to the project (Haselmayr, 2013).
The ideal vision might be someone who is looking at a fairly broad spectrum of options – like if they have vacation time in the first week of October and want to know where the weather is most likely to be perfect for hiking, the app might provide a dozen recommendations all around the world. The target market is really anybody who is planning a trip, or an outdoor event of any type. This can be professional planners, or even just someone who wants to organize a family reunion. There are ample articles and blogs about who to find the perfect weather at any time of year, but most of these are backed only by basic statistics and anecdotal evidence, rather than professional statistical analysis of a massive dataset (Taylor, 2016).
The product...
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