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FME: At the Heart of
Everything We Do
Paul Larcombe
Data Innovation Manager
Warwickshire County Council
FLIGHT PLAN
● Introduction to WCC
● FME case studies
● Powering Live Dashboards
● GIS (Geographical Information
Systems) Data Loading & Analysis
● Future plans
WARWICKSHIRE
POWERING LIVE DASHBOARDS
Varied care provision
Lack of consistent care
quality information
Significant savings targets
against this service area
Desire to ensure client care
and safety
CARE QUALITY PROBLEM
QUALITY DASHBOARD WORKFLOW
Automatic
Schedule on
WPPGEOG3
Daily/Weekly
Email Alerts EG: users
needing to be activated
Database Automation
(index defrag, integrity
checks, other checks)
Custom Exception Handling
EG: Alerts if the workspace
breaks
Data Cleaning, Log
Cleaning, Validation,
Formatting of existing tables
not used by FME directly
Data
Sync
ADVANTAGES OF USING FME
Pseudonymised and
Aggregated client
information from Mosaic -
Keeping it secure in the
dashboard and connected
database
Data Cleaning:
- Date Formatting
- String Cleaning
- Case by case processing
- Remove junk
- Fill in blanks
- Validate
Gives all data from all sources a
consistent format.
All data will then have
consistent ID’s, column names,
references etc.
Assign and Change data types.
Text to Numeric, String to Date,
Text to Geometry, all is
possible.
Apply format specific
constraints, such as SQL
primary keys, indexes and table
constraints.
Each format has its own set of
options
Create your own transformers, either with an
embedded FME process called a “custom
transformer” or with most programming
languages.
In Quality we use Python and SQL
QUALITY RESULT
Very popular system
Instant access to care quality information
Data-driven culture
High level of demand for future dashboard development
GIS DATA LOADING & ANALYSIS
Devolved budget setting
Inconsistent systems & data
Challenging savings targets
Reducing cost of software
Open source GIS stack
Boundary comparisons
Service location isochrones
GIS DATA LOADING PROCESS
SELF SERVE ISOCHRONE
© Crown Copyright and database right 2017. Ordnance Survey 100019520.
RASTER IMAGE PROCESSING
TITHE MAP PROCESSING
RASTER BAND VALUES
HEIGHT DIFFERENTIAL ANALYSIS
-
=
SUMMARY & FUTURE PLANS
Provides easy access to web data
via APIs, WMS/WFS reader and
HTML extractor
Read, write & translate all formats
we use: databases, Google drive,
GIS formats, raster images, 3D
Extend functionality by embedding
SQL queries and Python scripts
Create fully automated processes
using batch runners and event
triggers, and generate alerts
Further regular API queries
Machine learning
Vehicle sensors/video
processing
Data safe haven/data
warehouse/GDPR
THANK YOU!
Paul Larcombe
paullarcombe@warwickshire.gov.uk

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IMGeospatial: FME World Tour 2018 Nottingham: FME at the Heart of Everything We Do

  • 1. FME: At the Heart of Everything We Do Paul Larcombe Data Innovation Manager Warwickshire County Council
  • 2. FLIGHT PLAN ● Introduction to WCC ● FME case studies ● Powering Live Dashboards ● GIS (Geographical Information Systems) Data Loading & Analysis ● Future plans
  • 5. Varied care provision Lack of consistent care quality information Significant savings targets against this service area Desire to ensure client care and safety CARE QUALITY PROBLEM
  • 6.
  • 7.
  • 8. QUALITY DASHBOARD WORKFLOW Automatic Schedule on WPPGEOG3 Daily/Weekly Email Alerts EG: users needing to be activated Database Automation (index defrag, integrity checks, other checks) Custom Exception Handling EG: Alerts if the workspace breaks Data Cleaning, Log Cleaning, Validation, Formatting of existing tables not used by FME directly Data Sync
  • 9. ADVANTAGES OF USING FME Pseudonymised and Aggregated client information from Mosaic - Keeping it secure in the dashboard and connected database Data Cleaning: - Date Formatting - String Cleaning - Case by case processing - Remove junk - Fill in blanks - Validate Gives all data from all sources a consistent format. All data will then have consistent ID’s, column names, references etc. Assign and Change data types. Text to Numeric, String to Date, Text to Geometry, all is possible. Apply format specific constraints, such as SQL primary keys, indexes and table constraints. Each format has its own set of options Create your own transformers, either with an embedded FME process called a “custom transformer” or with most programming languages. In Quality we use Python and SQL
  • 10. QUALITY RESULT Very popular system Instant access to care quality information Data-driven culture High level of demand for future dashboard development
  • 11. GIS DATA LOADING & ANALYSIS
  • 12. Devolved budget setting Inconsistent systems & data Challenging savings targets Reducing cost of software Open source GIS stack Boundary comparisons Service location isochrones
  • 13. GIS DATA LOADING PROCESS
  • 14.
  • 15. SELF SERVE ISOCHRONE © Crown Copyright and database right 2017. Ordnance Survey 100019520.
  • 21. Provides easy access to web data via APIs, WMS/WFS reader and HTML extractor Read, write & translate all formats we use: databases, Google drive, GIS formats, raster images, 3D Extend functionality by embedding SQL queries and Python scripts Create fully automated processes using batch runners and event triggers, and generate alerts
  • 22. Further regular API queries Machine learning Vehicle sensors/video processing Data safe haven/data warehouse/GDPR
  • 23.