10 Unique Business Intelligence Projects with Source Code 2024

Check out this list of unique business intelligence projects with source code ideas to get started with the exciting domain of business intelligence.

10 Unique Business Intelligence Projects with Source Code 2024
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Chilly December is here! And we do want our curious readers to feel warm in their blankets and conserve their energy when searching for projects on business intelligence. Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth.

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Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization, data mining, data analytics, data science, etc. methodologies. And, as data is one of the most prized possessions for any business in the twenty-first century, the demand for business intelligence (BI) experts is rising. In fact, as per a report by the Bureau of Labor Statistics, the jobs for BI analysts are expected to rise by 14% between the years 2020 and 2030. And one can easily comprehend the statistics if one considers the various industries (law enforcement, healthcare, education, finance, and technology) that can benefit from Business Intelligence tools.

Business Intelligence Examples Highlighting the Value of a BI expert

With so many industries showing interest in leveraging the skills of a BI expert, let us explore a few examples that illustrate how those skills are significant in improving business strategies.

Business Intelligence in Healthcare: It has become common to use patients’ data to better diagnose diseases. Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better.

Business Intelligence in Education: Ed-tech firms often use various statistical tools and methods to help students match with the teacher who makes them understand various topics at their own pace.

Business Intelligence in Finance: Banks have started using data science to fasten their loan application process. Additionally, many facilities, like passbook filling that can be complete without human intervention, have been automated.

Now that you have a fair idea of how BI methods can assist a business in making quicker and better decisions, why not check out real-world applications of business intelligence described in the next section?


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10 Unique Business Intelligence Projects with Source Code for 2024

For the convenience of our curious readers, we have divided the projects on business intelligence into three categories so that they can easily pick a project on the basis of their previous experience with BI techniques.

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Business Intelligence Projects for Students and Beginners

1) Predicting Sales of a Supermarket Chain

Imagine running 1,000 stores across a country like Germany! Sounds like a huge responsibility, doesn’t it? Well, it indeed is but if you know how to utilise various BI tools, the whole process of running so many stores can be easily simplified.

Project Idea: Rossmann Stores is a supermarket chain in Germany and has about 1,115 stores spread across the country. One can use their dataset to understand how they work out the whole process of the supply chain of various products and their approach towards inventory management. An analysis of their dataset will also reveal how they use data science tools and techniques to estimate their daily sales and maximise their profit.

Industry: Food and Beverages

Source Code: Rossmann Store Sales Business Intelligence Project

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2) Predicting Land Prices

Most of us believe that investing in real estate firms involves high risks. That is primarily because so many external factors like robbery, natural disasters, nearby infrastructure, etc., influence the land prices. Fortunately, with the help of relevant data visualisation tools, one can have a fair idea of such risks.

Project Idea: Use the Zillow Zestimate dataset to understand what kind of features play a crucial role in determining the prices of different houses. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc. to estimate the costs. You may also use principal component analysis to determine which factors are more prominent in affecting house prices.

Industry: Real Estate

Source Code: House Price Prediction Business Intelligence Project

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3) Classification of Loan Applications

Have you ever applied for a loan? If not you, at least someone close to you must-have. Recall that whenever a person applies for a loan at a bank, the bank staff collects a lot of information about the applicant. This information helps them understand whether the applicant can repay the loan or not. And, gone are the days when banks make such decisions manually, and they now rely on BI experts for that.

Classification of Loan Applications

Project Idea: Use the German Credit Dataset available on Kaggle and apply statistical analysis like univariate, bivariate and multivariate analysis over it to understand the distribution of different variables. After that, use classification machine learning algorithms like decision trees, random forests, and logistic regression to predict the probability that an applicant will successfully repay the loan.

Industry: Banking

Source Code: Business Intelligence Project-Work on German Credit Dataset (projectpro.io)

4) Estimating Retail Prices

For community-driven businesses that rely on them for products, it becomes essential to regulate their prices. The best way for such companies is to figure out a method of recommending prices to the sellers to help them with deciding the appropriate product prices.

Project Idea: Work on the dataset of one of famous Japan’s online shopping marketplace for electronics and perform Data Preprocessing techniques over it. After that, perform Exploratory Data Analysis and use machine learning models to estimate the product prices based on the information provided by the user for the product.

Industry: Retail

Source Code: Machine learning for Retail Price Recommendation with R (projectpro.io)

Business intelligence and Analytics Projects for Intermediate Professionals

For this section, we have presented those business intelligence projects with source code that will guide you through upgrading your business intelligence skills by making you work on challenging problems.

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5) Time Series Forecasting

Time Series is a type of data with the distribution of variables depending on time. Such data can be used to make predictions for the future. For example, predicting the sales for a retail store can help them plan their inventory efficiently.

Project Idea: Explore one of the most popular algorithms for making predictions using time series data, the Auto-Regressive Integrated Moving Average (ARIMA) model. Use the model over the dataset of a call centre to understand various features that affect the traffic prediction for calls. Additionally, you can use ARIMAX (Auto-Regressive Integrated Moving Average Exogenous) and SARIMAX (Seasonal Auto-Regressive Integrated Moving Average with Exogenous factors) models.

Industry: Telemarketing

Source Code: Business Intelligence Project-Building ARIMA Model in Python

6) Evaluating Recommendations for Users

While shopping online, we often see a list of products recommended to us by the websites to smoothen our browsing experience. You must have noticed this for entertainment apps like Netflix too. For evaluating appropriate recommendations, they leverage users’ data to increase engagement and traffic on their platforms.

Project Idea: Analyse the customer behaviour dataset of Expedia (a hotel booking website) and perform various feature engineering methods over it to visualise the patterns in the dataset. After cleaning the dataset, use machine learning algorithms like Naive Bayes, Random Forests, KNN to cluster similar hotels together. This clustering will help recommend a user with hotels they are likely to show interest in.

Industry: Hospitality

Source Code: Data Science Project - Build Recommender Systems (projectpro.io)

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7) Building a Face Recognition System

Now, this business intelligence project idea may sound a bit off-track for this list. But, if you consider applying a face recognition system in automating attendance systems at workplaces, you will find it easy for managers to track the attendance, work hours, etc., of all the employees. We have listed this project mainly to widen your knowledge about interesting applications of data science, which will hopefully help you create an efficient business intelligence project plan for your company.

Building a Face Recognition System

Project Idea: Create a dataset for your own company by clicking images of all the employees from different angles. Apply machine learning and deep learning algorithms over the dataset to make the system learn the facial features of all the employees. Next, incorporate a few advanced features to build an entire attendance system.

Industry: Technology

Source Code: Build a Face Recognition System in Python using FaceNet

Recommended Reading: 15+ Computer Vision Project Ideas for Beginners in 2021

8) Exploring MS Excel as a BI Tool

Microsoft’s Excel is a powerful business intelligence tool that most learners neglect initially. However, professionals understand its value and are often found using it to solve complicated business problems through this easy-to-use software. As an intermediate professional, we highly recommend that you work on solving a challenging problem using MS Excel.

Project Idea: Analyse the dataset of AssureNext, a company that is placing machines at specific book stores and restaurants, to help the customers pick the best insurance plan for them. Create data connections, scorecards, status lists, dashboards, status indicators, etc. in Excel to help the company understand their customers better and possible amendments that will help them increase their revenue.

Industry: Financial Services

Source Code: Business Intelligence Project on Insurance Domain using Excel

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9) Implementing the FEAST Operational System

FEAST is an operational data system for handling and providing machine learning features to models in production. It solves the following problems that are encountered by companies every day:

  • Continuous access to data in modelling

  • Implementing new features into production

  • Point-in-time correct data for models

  • Makes it easy to use the features across the project again and again.

Implementing the FEAST Operational System

Project Idea: Use the customer churn dataset to understand the FEAST architecture and benefit from its features. Analyse different features and perform Model training in FEAST. Additionally, explore the full interactive deployment through this interesting operational data system.

Source Code: FEAST Feature Store Example for Scaling Machine Learning

10) Product Classification

Adding more products to one’s catalogue is one way of attracting more customers. But, with the addition of new products comes the responsibility of categorising them well so the customers can find them easily.

Project Idea: Work on the dataset of Otto Group and analyse the various product categories. Furthermore, label the 144,000 unclassified products with one of the possible product categories using multi-class classification algorithms.

Source Code: Otto Group Product Classification Business Intelligence Project

There are chances that the projects mentioned in this blog are a bit difficult for you, and you want to explore more basic projects. You don’t need to worry at all if that is the case. We have more Data Science projects, and Big Data projects in our library that you can check out.

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