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.

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!

4. Turning Frogs
into Princes

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

13. Visualization
Sorcery

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

15. Built-in Visualization Apps

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