Home Our Success Stories Data Warehouse to Google Data Studio (Looker) Dashboard

Data Warehouse to Google Data Studio (Looker) Dashboard

Ajay Bidyarthy

July 29, 2023

5010

Client Background

Client: A leading tech firm in the USA

Industry Type: IT

Services: SaaS, Products, healthcare, government, energy

Organization Size: 100+

The Problem

Our client needed a Google Data Studio dashboard for different sectors such as Oil and Gas, Government, Healthcare, and Sales analysis. They want to see an analysis of data from which they can provide insights in different domains. They want us to create visual KPIs of meaningful insights.

Our Solution

They provided us with data for different sectors. Using those data first we analyze the data and perform EDA on data for cleaning the data. After cleaning the data, we performed calculations to extract insights for KPIs. Using those KPIs we build a dashboard on Oil and Gas, Government, Healthcare, and Sales analysis.

Solution Architecture

To build the dashboard we follow the pipeline as follows:

Data 🡪 EDA(Cleaning data )🡪 Connection(GDS) 🡪 Building KPIs(Visuals)

Tools used

Google Data Studio

Skills used

EDA, Google data studio

What are the technical Challenges Faced during Project Execution

During the project execution, we faced the following challenges:

The data client provided was not cleaned.
Data was of four different sector which we have to analyse and visualize.
Extracting insights from data.

How the Technical Challenges were Solved

To solve the technical challenges, we provided following solutions as follow:

Performed EDA on data to clean it and find the missing values.
As data was from different domains, we have analysed each sector and understand the culture of each domain. We understand the pipeline and flow of work process.
After completing the case study, we use calculations to extract the meaningful insights from data.

Business Impact

Using these dashboards client can visualize the sales insights and understand the workflow. They can take crucial decisions based on these insights which will help them to make an impact on their sales.