What are the most effective data modeling projects to include in a Business Intelligence (BI) portfolio?

A star schema project can showcase your ability to design and implement a data warehouse that supports various BI queries and reports. You can use tools like SQL, ETL (extract, transform, load), and data modeling software to create and populate the tables, and document the data dictionary, business rules, and assumptions. You can also demonstrate how to use the star schema to create different types of BI outputs, such as aggregations, filters, joins, and calculations.

In a BI portfolio, impactful data modeling projects include: Sales Forecasting Model: Predicting future sales based on historical data, aiding decision-making. Customer Segmentation: Identifying distinct customer groups for targeted marketing strategies. Churn Prediction Model: Forecasting customer attrition to proactively retain clients. These projects showcase diverse skills in predictive analytics, segmentation, and optimization, highlighting a comprehensive understanding of data-driven insights for business success.

En la mayoría de herramienta líderes de BI hoy en día se recomienda utlilizar el Esquema en Estrella. Entre ellas Power BI, Tableau y Qlik.

Building a comprehensive Business Intelligence (BI) portfolio requires showcasing a range of data modeling projects that highlight technical proficiency and a deep understanding of business needs. Effective projects include dimensional modeling for data warehouses, designing star and snowflake schemas, implementing data marts, creating ETL processes for data transformation, and developing data cubes for multidimensional analysis. Additionally, demonstrating expertise in handling data quality and master data management enhances the credibility of the portfolio.

In the realm of data warehousing, the star schema stands tall as a powerful architectural choice. This model simplifies complexity by organizing data into a central fact table surrounded by dimension tables like spokes on a wheel. The fact table holds key business metrics, while dimensions provide context. This star-shaped design streamlines queries, facilitating quick and efficient retrieval of information. With its intuitive structure, the star schema enhances analytical capabilities, promoting a seamless flow of insights. Embracing clarity and performance, the star schema proves indispensable in building robust and responsive data warehouses.

El uso de este esquema en copo de nieve, dependerá de si es óptimo para la herramienta o tecnología en la que se va a aplicar.

Las arquitecturas híbridas son óptimas en muchos escenarios. Evitan la rigidez y los problemas de arquitecturas menos flexibles, pudiendo almacenar los datos en unas u otras según sea más óptimo.

Cada vez hay más alternativas y debemos contemplarlas y mantenernos actualizados para así elegir la más óptima en cada caso y no cerrarnos sólo a las que hemos utilizado en el pasado.

While a specific schema design is useful for a resume, at the end of the day data modeling is about unifying disparate data sources into a single vision of the business. To really impress a senior data modeler, then, describe how you put together two sources of customer data, or two or more product catalogs, or unified POs for a large procurement org. The specific structure of star schema or snowflake is a container for that data, but a container is only useful for the stuff it contains. So I look for people who understand what they've integrated, and who've wrestled with conceptual unification. Remember that the schema is a container, and its the content you're containing that's important.

I don't quite grasp the connection between the article's question and its various sections, which refer to data modeling techniques. However, if we stick to the question, I don't believe there's a "best project" for your portfolio. The best project will be one that, on one hand, is related to the industry you want to enter and, on the other, is complex enough to showcase your skills. There are many free datasets, perhaps the most popular one to start with is likely "Adventure Works."