Driving Electoral Integrity with Data Visualization: How a Power BI Dashboard Can Revolutionize Your Election Process.

Quantum Reports
3 min readJan 25, 2024

--

The principles of accountability and transparency are crucial to ensuring the integrity and legitimacy of any electoral process. As a manager of a team of tech experts, I had the privilege of leading the development of an e-voting solution aimed at addressing the key challenges faced by traditional voting systems. My team was able to overcome the issues of overvoting, ease of access, effectiveness, and time constraints by leveraging the power of technology to create a more efficient and streamlined voting process.

Transparency is essential to building trust and confidence in the electoral process, and our e-voting solution is needed to deliver on this front as well.

Analytics wins it all

To address this issue, we took advantage of the data analytics workflow and came up with an innovative approach to enhance the transparency of the e-voting results. We integrated data visualization that ensures the integrity and transparency of the results. This groundbreaking solution significantly improved the transparency and accountability of the electoral process and set a new standard for e-voting systems.
I chose Microsoft Power BI for creating the dashboard since it is versatile, easy to use, and has a myriad of options for data visualization.

In summary, our e-voting system had not only solved the traditional challenges of voting but also demonstrated the power of technology to revolutionize the electoral process. Our innovative approach had set a new benchmark for transparency and accountability in the electoral process and has opened up new possibilities for future advancements in this critical area.

To utilize Microsoft Power BI for visualizing electoral data, you need to get acquainted with Power BI Desktop. The tutorial below gives a simple and easy way to use the application and create compelling visuals.

Why a Dashboard?

Dashboards are a collection of widgets that give you an overview of the reports and metrics you care about most. Dashboards let you monitor many metrics at once, so you can quickly check the health of your accounts or see correlations between different reports. Dashboards are easy to create, customize and share.

Dashboards help you see figures in more descriptive forms, and also bring a collection of reports together to provide useful insights.

Steps to Implement an Electoral Dashboard

1. Getting the Data:

The e-voting software utilized MongoDB to store the election candidates’ data and their corresponding vote tallies for each position. Once the election concluded, the data for each position was efficiently retrieved as a CSV file, allowing for seamless analysis and review.

2. Importing the Data and Building the Dashboard:

Just like the video above, the data was imported into the Power BI desktop. Key information like the number of Registered voters, the number of Voters, and the number of Non-voters, were gotten and indicated on the dashboard. Appropriate visuals were used to describe the winners of the various executive positions.

3. Publishing the Dashboard:

The dashboard was made available to the public by exporting it as a PDF file. A snapshot of the dashboard is presented below for reference:

Conclusion

Transparency was a key objective in presenting the election results, and the implementation of a dashboard achieved this goal by showcasing figures obtained from the database. The dashboard was a resounding success, effectively displaying the election outcomes in a user-friendly, straightforward, and innovative manner. I highly recommend trying it out!

Before you leave:

If you liked this article, don’t forget to give me a few claps, follow me and thus receive all updates about new publications.

About the author:
Daniel Akhabue
: Data Scientist, writer, Kaggle Expert, and Team Lead at DSN Uniben

Email: akdaniel0009@gmail.com

Check out my portfolio: Daniel Akhabue

Follow me on Twitter if you want even more content.

--

--

Quantum Reports

QR: Reader-friendly, and critically thought content covering Data Science, Machine Learning, and Artificial Intelligence.