Power BI Project For Beginners | Sales Insights Data Analysis Project - 2 - Data Discovery

Summary

This video script outlines a project planning approach using the AIMS grid, a tool for effective project management. It details the process of identifying pain points, engaging stakeholders, defining end results, and setting success criteria. The script discusses a scenario where AtliQ Hardware uses AIMS to tackle data analytics challenges, involving teams like IT (Falcons) and data analysts (Data Masters). It emphasizes the importance of integrating data sources, such as MySQL, into Power BI for real-time analytics and dashboard creation. The video also hints at the next topic: data cleaning and merging within Power BI, assuring that even beginners can easily grasp these concepts.

Takeaways

• 📈 AIMS grid is introduced as a project management tool with four components: Purpose, Stakeholders, End Result, and Success Criteria.
• 🤝 Stakeholders identified for the project include marketing, sales, IT, and data analytics teams within AtliQ hardware.
• 🎯 The project's end result is envisioned as a Power BI dashboard providing real-time sales information to sales directors and regional managers.
• 📉 A key success criterion is reducing costs by 10%, particularly by minimizing manual work and reliance on BPO companies for data processing.
• 👨‍💻 The IT team, referred to as 'Falcons', owns the sales management system and will collaborate with the data analytics team, 'Data Masters', for the project.
• 🔌 The data analytics will utilize the MySQL database from the sales management system as a data source for the Power BI dashboard.
• 🚀 The script suggests creating a data warehouse for high data volumes to prevent affecting the performance of the OLTP system.
• 🛠 ETL (Extract, Transform, Load) processes are crucial for transforming data from OLTP systems into a format suitable for analytics.
• 🧼 Data cleaning and merging, also known as data wrangling or munging, will be addressed in the next video, with Power BI being the tool of choice.
• 📚 The video promises that even without prior knowledge of Power BI, viewers will be able to learn and use it effectively, likening it to 'Excel on steroids'.

Q & A

What is the main topic of the video script?

The main topic of the video script is project planning using the AIMS grid in the context of a data analytics project for a company named AtliQ Hardware.

Who is Bhavin Patel in the script?

Bhavin Patel is the Sense Director of AtliQ Hardware who recognizes the need for a data analytics project to address certain pains and possible solutions.

What does AIMS stand for in the context of the video?

AIMS stands for a project management tool with four components: Purpose, Stakeholders, End Result, and Success Criteria.

What are the four components of the AIMS grid?

The four components of the AIMS grid are Purpose, Stakeholders, End Result, and Success Criteria.

What is the role of the IT head or head of the data department in the project planning meeting?

The IT head or head of the data department is involved in brainstorming on project planning using the AIMS grid to determine the approach and execution of the data analytics project.

Which teams are involved in the data analytics project according to the script?

The teams involved in the data analytics project include the marketing team, sales team, IT team (software engineers), and the data analytics team.

What is the end result that AtliQ Hardware aims to achieve with the data analytics project?

The end result that AtliQ Hardware aims to achieve is a Power BI dashboard that provides real-time information on sales numbers for the sales director and regional managers.

What are the success criteria defined for the project in the AIMS grid?

The success criteria include reducing costs by 10% and eliminating the need for manual work in merging Excel files, thereby saving business time and cost.

What is the role of the 'Falcons' in the context of the data analytics project?

The 'Falcons' is a team of software engineers at AtliQ Hardware who own the sales management system and the MySQL database, which is the source for the data analytics project.

What is the significance of a data warehouse in the context of high data volume?

A data warehouse is significant for high data volume as it allows for the extraction, transformation, and loading (ETL) of data from the OLTP system (MySQL in this case) into a format that is optimized for analytical queries without affecting the performance of the primary business operations.

What is the next step in the project after defining the AIMS grid?

The next step is to discuss with the data analyst team (Data Masters) and the IT team (Falcons) on how to solve the problem using the MySQL database and integrating it with Power BI to build the dashboard.

What is the approach to data analysis if the required data is not available within the organization?

If the required data is not available, data analysts will spend time capturing the necessary information needed to perform the data analysis.

What will be covered in the next video according to the script?

The next video will cover data cleaning and data merging, also known as data wrangling or data munging, using Power BI.

Why is the term 'data wrangling' or 'data munging' used in the script?

The terms 'data wrangling' or 'data munging' are used to describe the process of cleaning and merging data, which is made easy in Power BI and does not require prior background knowledge.