Business Intelligence Developer Task Summary Design Theme – Master Power BI skills by gaining hands-on experience in these amazing Power BI projects in 2022 |
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Business Intelligence Developer Task Summary Design Theme
Preparing for your next BI developer interview? Check out these Power BI projects that will blow your mind with interactive Power BI dashboards, exclusive graphs and charts, and many more features.
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Almost 80% of industrial data is considered “unstructured”. According to a GlobalNewswire report, the global business intelligence market will reach $33.3 billion by 2025. Significant growth in the business intelligence market is driven by multiple factors such as emphasis on digital transformation, increased funding in analytics, increased demand for data visualization dashboards, increased cloud usage, and higher data generation. Data insights, improved quality and the right data condensed into a single document have become more important. Companies interested in using data should invest in a business intelligence system.
In this blog, we will look at some interesting Power BI samples to help you better understand the role of Power BI in data science and how it can help businesses grow.
Microsoft Power BI is a Business Intelligence service that enables you to create visually rich and interactive dashboards and reports based on raw business data obtained from various sources. In addition to the variety of applications, connectors, and services offered by Power BI, there are three main elements that are integrated into Power BI.
Business users use these services to collect data and generate BI reports. These three components are all designed to support the generation, sharing and use of business insights in the most efficient way possible for any business. Some of the benefits of using Power BI include:
Power Bi Projects
There are various tools and techniques for analytics and machine learning in the fascinating and vast field of data science. Power BI is a high-level, all-in-one solution for data analysis in data science. Data science helps identify relevant and actionable trends and insights. It involves analyzing the data and also helps us discover completely new features in it. Business intelligence sifts through data to extract meaningful organizational insights and insights. BI enhances and enhances business infrastructure to produce desired or predicted results.
Many data science and analytics tasks can be automated with Power BI, eliminating the need for spreadsheets and static presentation tools. One of the most impressive features of Power-most BI is its ability to create stunning visualizations. The program is packed with excellent and eye-catching visualization templates. Integrating Power BI with Data Science makes big business sense. This allows for smooth and effective data visualization that plays an important role in the success of an organization.
Visualization in data science can be taken even further with Power BI. Businesses and data scientists rely heavily on Power BI to visualize data for various projects. There are many visualization types and charts available in Power BI to create effective visualizations for data science projects.
There are two ways to create a visualization in Power BI. First, add items to the Report canvas from the right-hand panel. Another way to do this is by dragging the fields from the right sidebar to the value axis under the Visualization. By default, Power BI selects the table type of visualization. You can add as many fields as you need on each axis. You can also click and drag your visualization to rearrange it in the report panel. You can easily switch between different charts and visualizations from the Visualization window. Your specified fields are converted to the new visual format as accurately as possible.
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This blog lists 15 Microsoft Power BI projects for you. We’ve categorized these Power BI examples into beginner, intermediate, and advanced levels. You can choose any of these power bi projects for practice to master the data science domain.
In this section we have included some Power BI projects for students. These simple Power BI projects will help you understand business intelligence applications and build a successful career as a data scientist.
The Customer Attrition Analysis project is one of the easiest and most popular Power BI projects. Customer Churn Analysis identifies regional customer product sales and profits. Analytics users can use it to analyze regional business growth across geographies to gain valuable insights and share profits among customers. They can get extensive data using the right visualizations and data structure. The plan includes regional cash inflows and customers for certain products over time.
Use the customer segmentation database available on Kaggle for this beginner-friendly project. You can use combo charts, cards, charts, tables, or line charts on the general analysis page; You can use column charts, bubble charts, dot maps, tables, etc. for your customer segmentation page.
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Businesses need to keep detailed records of their sales for a variety of reasons. However, if there is too much data, it often becomes difficult to keep track of everything. Analyzing sales data allows companies to track their sales and answer all the important questions about their performance.
This sales data analysis project involves analyzing a company’s sales data and reporting profits by product, sales, and other important factors that may affect the company’s performance. You can use Microsoft’s sample dataset. The dataset must be connected to Power BI Desktop to remove irrelevant data before visualizing and exporting the filtered data as dashboards. The dashboard panel can use Power BI visualization types such as Pie Charts, Bar Charts, Donut Charts, Funnel Charts, and more.
The idea behind the program is to demonstrate the effectiveness of different marketing campaigns and the effectiveness of product groups and platforms using any marketing analytics data set. This project is an excellent approach for a marketing manager to evaluate the success of marketing campaigns.
For this beginner-level project, use the Marketing Analytics database available on Kaggle. For the data visualization dashboard, you can explore many types of Power BI visualizations, such as charts for category spend, column charts for campaign success rates, Smart Narratives to show campaign highlights, bubble charts for customers. wise spending, individual data insights display cards etc.
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Analyzing financial performance is one of the most interesting ideas in a Power BI project for beginners. This approach to a business intelligence project is based on optimizing financial analysis for a company that provides accounting services to clients seeking timely submission of critical financial statements. You can configure analytics to quickly access reliable financial data. The project can be used to move traditional financial reports from Excel to current BI dashboards and provide clients with an efficient tool to track their financial health and productivity.
See the multi-company financial database available on Kaggle. You can use Power BI data visualization in this project for three different cases:
You can use cards, funnel charts, and combo charts (line charts and column charts) for the income page; and:
This business intelligence program idea enables Animal Health professionals to effectively track sales of juvenile animal care products. Businesses can instantly compare product sales in high- and low-ranking cities. The software can generate a detailed report on therapeutic group sales and sales trends for any specific period.
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You can refer to the pharmaceutical sales data available on Kaggle. To visualize data in Power BI, you can use tables to show therapeutic group sales, column charts for monthly sales trends; Charts of high and low cities; and you can also include Treemaps, Cards, Smart Narratives and more. You can also check out the Microsoft Power BI community for examples of beginner-friendly power bi projects.
If you are already well versed with the Power BI data visualization tool and want to further strengthen your data analysis skills as a data scientist, here are some power bi projects for resumes:
The first Power BI project idea we came up with is anomaly detection in credit card transactions. Anomaly detection is a machine learning technique for detecting unusual things, events, or observations that are significantly different from the rest of the data and appear suspicious. You can apply this machine learning method in three ways: supervised (for labeled datasets), semi-supervised (for normally trained datasets), and unsupervised (for unlabeled datasets).
For this project, you can use the Delaware credit card database available on their open data platform or the credit card fraud detection database from Kaggle. You must first import the database into Power BI Desktop, perhaps through the web connector. You can then use Power BI to train your anomaly detector or use a pre-trained model. To tag outliers in Power BI, you need to run a Python script in the Power Query Editor and use the get_outliers() method. Finally, the Power BI Dashboard can be used to visualize it. You can also train your anomaly detection model in any IDE or Notebook and then transfer it to Power BI for labeling. You can visualize data in the Power BI dashboard using Line Charts.
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