Power BI has a lot to offer to data analysts interested in creating data models using Power BI Desktop or Excel. However, unless you analyze data stored in a data warehouse, data is rarely clean. Fortunately, Power BI Desktop and Excel include powerful data shaping and transformation capabilities that help the data analyst improve the data quality before importing the data in the model. In the first part of this session, Teo Lachev will show you how to use the Power BI built-in features to apply various data transformation tasks. In the second part, you’ll see how Alteryx can bring Power BI data transformation and analytics even further with:
- Data Preparation: Quickly prep, blend, and analyze data from multiple sources for Power BI consumption. Deliver a repeatable workflow process to reduce the time spent on manual processes. Push datasets directly to Power BI to create rich visualizations.
- Advanced Analytics: Utilize the power of spatial and predictive analytics in a simple drag-and-drop interface without having to write code. Add a new dimension of insight to your visualizations with advanced modeling tools to handle complex use cases such as Multi-Channel Analysis, Predictive A/B Testing, Location Selection, Market Basket Analysis, and more.
- Text Analytics: Build repeatable analytic workflows and harness the power of Azure Machine Learning to easily perform sentiment analysis and extract key phrases from your data.
