Tips & Tricks for Using FME for Business Intelligence
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The document provides tips and tricks for using FME in business intelligence, emphasizing data preparation and automation to support effective data analysis and visualization using tools like Power BI, Qlik, and Tableau. It discusses connecting to data, data clean-up, blending, enrichment, and spatial analysis, illustrated through examples involving movie filming locations in New York City. Additionally, it includes resources for further learning and a call to action for a free trial or live chat for inquiries.
Tips & Tricks for Using FME for Business Intelligence
- 1. Tips & Tricks for Using FME for Business Intelligence Laura Wu & Liz Sanderson ®
- 2. About Business Intelligence ● Turn data into information ● Visualize patterns ● Get answers to questions Use BI tools to make this happen ● Create interactive data visualizations to allow your business users to ask and answer their own data-related questions We’ll be using PowerBI, Qlik, and Tableau in our examples today
- 3. Topics We’ll Cover Connecting to Data with FME Data Clean-up Data Blending/Joins Data Enrichment Location 1 2 4 5 3Questions? Chat them into the GoToWebinar control panel.
- 4. Why Bother with Data Prep? Data won’t always be clean … or consistent … or in the right data format Automate the process to avoid mistakes
- 5. What is FME? Enables digital transformation Integrate virtually any system Powerful data transformation No coding required safe.com/how-it-works
- 6. Terminology Basics ● Feature Types = Sheets ● Attributes = Columns ● Features = Rows ● Transformers = Data Transformations
- 7. Our Scenario Analyze data about movie filming locations in New York City Data Filming locations from: NYC Open Data Movie budget data from: The Numbers
- 8. Example 1 Connecting to Data with FME
- 9. Demo Recap ● Added Readers ● Simple data structure changes ● Performed a data join ● Created an output dataset ● Save that workflow and re-run anytime
- 10. ● Change attribute types ● Date/Time formatting ● Calculations ● Filter data ● Database joining Data Cleanup
- 11. Example 2 Working with the Data
- 12. Demo Recap Additional Data Clean-up Transformers:
- 13. Other Common Data Validation and Cleanup Tools in FME
- 14. Data Enrichment ● Retrieve data from the web ● Use CSS to select HTML ● Regular Expression to extract data ● Create an image from a URL ● Add images to an Excel spreadsheet
- 15. Example 3 Query an external source for more data
- 17. Location ● Provide Spatial Context for your Visualizations ● Answer the question of Where?
- 19. Demo Recap Spatial Joins Create Points, Lines, and Polygons
- 20. Additional Resources ● Webinar recording: Tips for Automating Excel Data Processing Tasks with FME ● eBook: Data Prep Tips for BI Platforms ● The FME Knowledge Center: Tableau Articles Thank you!
- 21. Questions? Get a free trial of FME or live chat us at www.safe.com