Client Background

Client: A leading retail firm in the USA

Industry Type:  Retail

Services: Retail business

Organization Size: 100+

Project Objective

To create a well-designed and informative dashboard for Symbiome e-commerce website using data sourced from Bigquery Database, Google Ads, Google Analytics, and Facebook Ads.

Project Description

Our client, Arik Oganesian, approached us with a requirement to create a dashboard for his friend’s e-commerce website, Symbiome. The dashboard needed to be visually appealing and provide comprehensive insights into the website’s performance. We sourced data from various sources such as Bigquery Database, Google Ads, Google Analytics, and Facebook Ads. To create the dashboard, we used Google Data Studio and Google Sheets to link the data sources. We also used SQL language to extract data from Bigquery Database. The client specifically asked for cohort retention and cohort revenue charts to be included in the dashboard. With our expertise in data analytics, we were able to fulfill the client’s requirements and provide a dashboard that helped the client make data-driven decisions.

Our Solution

We used Google Data Studio to create the dashboard and Google Sheets to link the data sources. To extract data from Bigquery Database, we used SQL language. We created a set of charts including cohort retention and cohort revenue charts to fulfill the client’s requirements.

Project Deliverables

Symbiome E-commerce Dashboard

Tools used

Google Data Studio and Google Sheets

Language/techniques used

SQL for Bigquery

Skills used

Data analytics

Databases used

Bigquery Database

What are the technical Challenges Faced during Project Execution

One of the major challenges we faced was extracting data from Bigquery Database using SQL language. However, we were able to overcome this challenge by using our expertise in data analytics.

How the Technical Challenges were Solved

To solve this issue, we used Google Data Studio and Google Sheets to link the data sources. We also used SQL language to extract data from Bigquery Database. By using these tools, we were able to integrate the data from different sources and create a single comprehensive dashboard that met the client’s requirements.

Business Impact

The dashboard we created provided a clear view of the website’s performance and helped the client to make data-driven decisions. This resulted in an increase in website traffic and revenue.

Project Snapshots 

Project website url

https://lookerstudio.google.com/u/1/reporting/c25c55ae-8052-4166-b363-347a2f8059da/page/SI6uC

Project Video