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Edit Suits Co.

About the Company

Edit Suits Co. is a custom tailoring company based in London and has branches in Singapore. They offer custom suits, shirts, chinos, and outerwear. Being an online service provider, their revenue is generated via organic and paid search which include Facebook, Instagram, Google Ads, etc. So, their online marketing activities are crucial in getting orders and generating revenue. 

Problem Statement

Edit Suits data analytics were unstructured, and data was not properly organized. This led to several tracking issues such as redundant data, unstructured and unorganized data, and unmodelled data. Their data is generated from various sources and have difficulty analyzing their marketing spent and revenue generation due to the wide spread of data. They wanted to centralize their data in a single dashboard report. 

Objectives

Edit Suits data analytics were unstructured, and data was not properly organized. This led to several tracking issues such as redundant data, unstructured and unorganized data, and unmodelled data. Their data is generated from various sources and have difficulty analyzing their marketing spent and revenue generation due to the wide spread of data. They wanted to centralize their data in a single dashboard report. 

Solution

Datum Labs enables the company to track all the required data and metrics in multiple pages of detailed dashboard reports. The solution includes: 

Connect all data sources at a single point.
Remove duplicated, correct naming conventions, Improve data granularity, and other data cleaning essential steps.
Designed dashboard reports to illustrate their E-Commerce performance, effectiveness of Customer acquisition, advertising platforms, Incoming bookings, orders, sales revenue  and all marketing campaigns across all the branches located in different cities of London and Singapore.

Result

Centralized Dashboard Reports have been created by visualizing all the key metrics that are required to track the cost and performance of marketing ads across all branches.

Tech Stack

AirByte

Big Query

Dbt

Metabase

“What I like about the service is that it was very quick to take over complex task and rework on complex datasets from scratch which saves a lot of time”

Edit Suits Co.

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