CASE STUDY – DATA ANALYTICS

Using AirBnB’s API, we were able to extract listing data for a few major cities around the world. The dashboard below shows the insights and data visualizations we found to be most valuable. You can filter this Microsoft Power BI dashboard by year, property type, city, and neighborhood. The dashboard automatically filters the criteria selected.

There is a geographical analysis on the “Map” tab and an analytical breakdown on the “Analysis” tab. There is also a comparative analysis by city you can interact with on the “Comparison” tab, displaying cities ranked by number of listings as well as how many listings there have been over time, by city.

All of this data could help inform AirBnB about trends in major cities around the world, and as a result adjust their business strategy to be parallel with what the data inform.

CASE STUDY – DATA ANALYTICS

A Portuguese hotel company was looking to better understand their bookings data. They wanted to see which markets (countries), marketing channels, and other features about a booking lead to a higher rate of successful bookings that do not cancel or never show up. The dashboard below allows for interaction to yield the many insights to be discovered.

CASE STUDY – DATA ANALYTICS

The City and County of Denver can easily sift through their crime data with the below visualization. There is an interactive map that can be filtered by a specific offense or by a particular neighborhood. There is also a second tab which contains user-friendly time-series statistics on crimes in Denver.

CASE STUDY – DATA ANALYTICS

The Guttmacher Institute conducted a study on women’s contraceptive needs in developing countries. They logged all of the women’s responses featured as data on this dashboard, displaying how contraceptive needs vary by country, region, and contraceptive method.

  • “Parallel Analytica was very instrumental in unfolding the insights for an entertainment studio who wanted to understand the ROI implication from a particular promotional franchise initiative. This firm worked collaboratively in pulling together a wide range of data, narrowing it down to the specific nuggets of information necessary to hone in on addressing the client’s objectives.”

    - Janet Marchal, SVP of Research & Ops at ImagineIf Insights

  • “Parallel Analytica has proven to be a reliable partner in helping support the varying data analysis needs of our clients. Their ability to listen and understand the often convoluted requirements clients may have and deliver finished work on schedule checks all the necessary boxes one would have in looking for a reliable analytics vendor. Additionally, the clearly written documentation and ongoing support are equally invaluable in supporting our clients.”

    - Jeff Currin, FDM Specialist at Truth Data

  • “Parallel Analytica was absolutely outstanding to work with. They were able to help our team organize information in a clear, concise, graphical manner enabling a new level of strategic thinking we had not previously achieved. We would highly recommend them.”

    - Robert Hempel, President at Standard Interiors of CO