Power BI Project Planning: Discovery & Ingestion
In this blog post, you'll discover what kind of questions will guide the discovery and ingestion process for your Power BI project. It's the second part of a series that started out with deployment modes. The key focus here is on the importance of discovery and ingestion, which lie at the core of every organization's business intelligence.
The author emphasizes the importance of having a strategic approach to data discovery and ingestion and goes on to provide useful questions that you should consider during this stage. The questions will help you to identify the data sources that will be beneficial to your organization, the conditions and requirements for successful ingestion, and how to store the data once it has been ingested.
You'll also discover what types of data sources to consider and how to prioritize them. These can range from traditionally structured data sources such as CSV files and databases to less conventional sources like social media and emails.
The post is an excellent resource for project managers, business analysts, and data professionals who want to plan their Power BI project efficiently. By adopting the techniques and tips provided, you'll be able to approach discovery and ingestion with confidence and prepare your data successfully for visualization and analysis in Power BI.
Check out the full post for more detailed information and insights into Power BI Project Planning.
Published on:
Learn moreRelated posts
Understanding What Data Modeling Is And Creating The Right Relationships
In this tutorial, you'll learn about the concept of data modeling and how to create the right relationships between different data tables in y...
Power BI Introduction Power BI Desktop | Power BI Service | Power Query | Data Modelling Data Visualization | Power BI Mobile Data Connectivity
Microsoft Power BI is a powerful and popular business intelligence and data visualization tool or suite developed by Microsoft. It enables use...
Data Modeling for Mere Mortals – Part 2: Dimensional Modeling Fundamentals
This article is the second installment in the "Data Modeling for Mere Mortals" series, where you'll delve into the fundamentals of dimensional...
Power BI Copilot: Enhancing Data Analysis with AI Integration
If you're looking for an intelligent assistant to help you navigate your data analysis, then Power BI Copilot is the tool you need. This innov...
Pandas AI: Data Analysis With Artificial Intelligence
Pandas, a popular Python library for data analysis, has just received a boost in the form of Pandas AI. This new addition enables Pandas to di...
How to edit Data Models in the Power BI service? #datamodelling #powerbi #biconsultingpro
This video tutorial provides an in-depth guide on how to edit data models in the Power BI service. You'll learn how to navigate the Power BI s...
Planning Power BI Projects
If you're embarking on a Power BI project, it's crucial to choose the right deployment mode to fit your requirements and ensure its success. T...
Microsoft Power BI Shifts Focus to Include Data Visualization
In a surprising announcement, Microsoft has decided to include data visualization in Power BI, shifting the tool's focus from being just a dat...
The Power BI Community Show Ep 5 - The Importance of Data Modeling
In the latest episode of the Power BI Community Show, data modelers gather to discuss the importance of effective data modeling in the world o...