Smart Shower : Usage Data Insights

Project Description

Summary of Product & Product Data

Our digital shower is a product that was designed to deliver an ideal shower consumer experience, our goal was to create an engaging product that pleased consumers. This product generates large amounts of data due to its inherent electronic nature, but the data structure was not designed with the generation of insights in mind.

Strategic Need for Insights

Our organization aspires to be the home water authority, in addition to delivering the best water delivery fixtures, this means we can provide personalized insights that enhance their experience. The data also gives us the opportunity elevate our understanding of consumer behavior as it relates to water usage, showering in this case.

The objective of this project is to mine the existing data generated by users from the showering control unit and extract insights that can provide interactions with our consumers to engage their experience with the product and learn as much as we can about the habits and practices of our consumers and reach to new insights about showering behaviors in the United States. 

Approach and Timeline

We expect this project to be completed within two weeks. We will provide a download of the data and the data dictionary and access to our cloud to get access to the data. We will facilitate a conversation with our teams to clarify any technical or project-related questions. 

Hypothesis / Thought Starters

Shower temperature

o   Shower temperatures by geographic area

o   Profiles shower temperatures by season or outside temperature

o   Shower temperature variations by time of day

§  Per consumer cluster

§  For individual consumers

o   How much do shower temperatures vary? Are there any oddities?

 

Latent Class Clustering of Users 

Using all available attributes ( shower length, time of day, temperature, durations, # of showers per day) can clustering techniques identify behavior based homogenous user segments (i.e. early morning quick hot shower-ers are 15% of the market) 

Can we use this to create predictive models for our showering system?

 

Shower length

o   What is the typical shower length? 

- can we overlay the cost of water in each municipality to get a sense of annual shower cost?

- can we overlay / link water quality data tables?

o   Does it vary per time of day / day of week?

      What are the different types of shower types? (i.e. Most people use only one function, i.e. two functions are mainly used in longer evening showers, etc)

      Are there clusters/profiles of shower types (i.e. time / temperature combination)? How do they differ per type of user?

o   i.e. Users that keep temperature steady for the length of a ~10 min shower

o   i.e. Users that end with a “cold shot” but have a length hot shower

o   i.e. Users that activate all functions and keep them on for the hole duration?

Presets:

o   What types of names are we finding with the presets?

o   What are the most typical presets?

o   What are odd presets?

o   Any fun facts about them:

      i.e. profiles with female names have 10% warmer temperature

      Are there homes with more than one device? If so, what differences are we seeing?

      What is the start water temperature? How does it vary per type of household or region or season?

 

Data

• Data Size is approximately 8GB
• Mutltiple CSV files with data schema will be provided. Also, initial call with data team after kick-off will be necessary for alignment and understanding of data columns.

 

Deliverables

•  A comprehensive set of insights based on the questions above backed up by graphs and data analysis
• A set of recommendations related to data architecture that would make this type of analysis easier in the future, and that could allow us to generate personalized insights on a production basis
• A set of recommendations of areas of opportunity we may have if we captured additional data

 

Proposal

• Please tell us more about how you would tackle this project and an estimate.
• We would also like to know your past experience performing similar work 

We would require a non-disclosure agreement to be signed as part of the project.