Integrating Web and Business Data
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This document discusses how data can be collected from various sources and transformed into useful information using FME. It outlines a three step process: 1) Connect to data from different formats and sources, 2) Clean the data by keeping useful information and filtering out bad data, and 3) Make the data presentable through visualizations, statistics, and reports. Examples of using FME to visualize trial results in PDFs and create dashboards for infrastructure asset management are provided. QlikMaps, Tableau, and other tools for business intelligence and creating visualizations are also mentioned.
Integrating Web and Business Data
- 1. Spinning Web and Business Data into Gold
- 2. The good news: It’s easier than ever to collect and store data. • Smartphones • Web & mobile apps • POS systems • CRMs • SCM • Etc.
- 3. The bad news: This data must be tamed!
- 5. Step 1: Connect to the data Transformers ● HTTPCaller ● HTMLExtractor ● S3 Transformers ● DropboxConnector ● OneDriveConnector ● BoxConnector ● GoogleDriveConnector ● AutodeskA360Connector ● DatabaseJoiner Database Formats ● Oracle ● MS SQL Server ● PostgreSQL ● IBM Cloudant ● Teradata ● PostGIS ● SQLite ● Netezza Web Formats ● ArcGISOnline ● Salesforce ● Socrata ● Google Sheets ● MongoDB ● Amazon DynamoDB ● HTML Table Reader ● IBM dashDB
- 6. Step 2: Clean it up Keep the good. Filter out the bad. Clean up the ugly.
- 7. Step 3: Make it presentable
- 8. Build HTML & PDF Visualizations StatisticsCalculator RCaller AttributePivoter AttributeManager Geocoder (new) ChartGenerator HTMLReportGenerator PDFPageFormatter
- 9. Story: Mapping Eye Health University of Oxford Jasleen Kaur Jolly, MSc BSc(Hons) MCOptom On the blog: fme.ly/eyes
- 10. Visualization Created with FME
- 11. Data Analysis with FME
- 12. Visualizing trial results as 3D PDF Change in visual area over time Comparing treated/untreated eyes
- 14. Leaders in Visualization QlikMaps (new in FME 2017) Tableau Microsoft Power BI and others: Write to a format supported by that application Source: Gartner
- 16. Business Intelligence: Making decisions by turning data into meaningful information.
- 17. Business Intelligence: Making decisions by turning data into meaningful information.
- 18. QlikMaps ● By Analytics8, a big data & analytics consulting firm specializing in business intelligence. ○ Qlik: business intelligence. ○ QlikMaps: geospatial business intelligence. ● Adds the value of location, spatial features, web map services, and search functionality to Qlik.
- 19. 3 Common QlikMaps Use Cases ● Visualizing and managing sales performance. ● SLA (service level agreements) compliance. ● Movement of goods, services, and people.
- 20. Challenge: Passenger Flow at the Airport ● Track and improve passenger flow. ● Increase passenger satisfaction. ● Gain insight into commercial opportunities for retailers.
- 21. QlikMaps for Indoor Mapping
- 22. QlikMaps for Indoor Mapping
- 23. Story: Dashboards for Infrastructure Asset Management Henri Veldhuis Jurgen van Tiggelen
- 24. Data Preparation
- 25. Dashboard to help prioritize road work
- 26. Tableau Writer FME Server for Automation + Get the whole story at the
- 27. Questions? ● Tableau resources safe.com/tableau ● HTML transformers blog fme.ly/html ● FME + web blog fme.ly/web ● Data quality checklist fme.ly/quality ● FME + QlikMaps tutorial fme.ly/qlikmaps