Bellabeat, a manufacturer of fitness tracking products for women, has earned their spot on the map as a technology driven wellness company. With offices all over the world, Bellabeat designs fitness devices that collect wellness data related to activity, sleep, stress, and reproductive health.

In this case study I will analyze smart devise usage data, and utilize the following questions to drive my analysis:

1. What trends do you see develop in your tracking device data?
2. How can these trends apply to Bellabeat users?
3. How can these trends influence a Bellabeat marketing strategy?

• While analyzing the combined FitBit data, I found a correlation between CALORIES and INTENSITY LEVEL.

• The following visuals will illustrate the context of my recommendations

• Bellabeat users can use their fitness tracker to target intensity levels for calorie expenditure, these settings can aide in weight loss efforts.

• The Bellabeat fitness tracker can offer intensity parameters based on weight loss intentions, the user can identify their goals to set their targets.

• The Bellabeat app can offer weight loss challenges amongst the Bellabeat community.

• This can market the fitness tracker as a weight loss tool with a global community of supporters.

Analysis for this project can be found here: RPubs Markdown

Data: Fitbit Fitness Tracker Data, found on kaggle Here

Owner: Mobius

Context: 18 files with data from 30 FitBit users, 12 April 16 - 12 May 16