Wing is a New York-based telecom provider offering a variety of services. The company offers flexible plans and a variety of telecom services that keep it competitive in the market.
The Client issues a lot of credits monthly, and this is difficult to audit and manage manually. Therefore, they decided to develop a visualized representation to get data-driven insights into possible discrepancies and fraudulent cases, insurance plan allocation, ARPU, and total revenue and shipment details on state and zip code levels.
The Client decided to build dashboards in Tableau but lacked the experience and resources in-house to drive efficient outcomes.
Comprehensive Tableau reports for each specific request
Data-driven insights into the best shipment locations and options to reduce transit time
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Based on the acquired information and queried databases, we built several dashboards in Tableau.
The dashboards also provide information on specific users. They can be analyzed by user type, the cost of credit per user, the data range, and the outlier ratio for the Client to provide a comprehensive outlook of credit issuing and user purchasing behavior.
We built a heatmap of the number of shipments and transit times and analyzed the results of different warehouses.
As a result, we came up with omitted locations that are worth shipping to (possible new hubs) and cities with the lowest average transit times. A surprising insight was that some cities with high delivery distances boasted rather short delivery times.
We analyzed the supply chain in terms of US cities and states to identify the best ship-from locations with minimum average transit times.
As a result, shipment dashboards have helped the Client to identify the best shipment locations, cities, and regions with the fastest transit times and a place to build a new warehouse to help reduce delivery times.
That's how Nick Lowry, Chief Growth Officer, described our work together on this project:
Nikolay’s team has been phenomenal to work with over the past few months. They were able to put together some wonderful insights, reports, and Tableau dashboards for our management teams across various departments. We look forward to working with Nikolay’s team in the future on additional data science and analysis projects.
If you need help with selecting or creating data analytics tools, feel free to contact us.
You can write directly to our CEO or submit a request on the site. We are looking forward to our collaboration!
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