Case Study: EMPOWERING BUSINESS DECISIONS WITH FME WORKBENCH Eric Klein Senior GIS Consultant, Critigen Bill Bodinson Senior GIS Analyst, Critigen

Agenda  Introductions  Project Background  Defining Business Drivers  Solution Design  Unique Approaches  Challenges  Benefits

 Critigen  Critigen came from CH2M HILL, a 63-year old, $6B global engineering and construction business  After 10 years as CH2M HILL’s sole information solutions provider EMS (Critigen) grew to more than 650 consultants worldwide  Three primary business competencies: Spatial Information Management, Managed IT Services and Systems Integration Introductions

Project Background  Large landholding customer  Looking to maximize owners return on assets  Divest underperforming assets  Acquire undervalued assets  Looking to diversify revenue stream

Define Business Drivers  Series of workshops  Identify stakeholders  Identify business opportunities/strengths  Decision analysis tools

Define Business Drivers  Identified over 100 opportunities  Screened down to 40

Solution Design  Worked with industry experts to define criteria for all 40 opportunities

Solution Design  End result was a very large, complex model

Solution Design  Used FME Workbench capabilities to simplify and navigate the model  Linked tables  Extensive bookmarking  Modular Design

Solution Design  Among the transformers were many of FMEs powerful ETL capabilities

Solution Design  Built individual modules in FME Workbench to apply rules for each business

Unique Approaches  Modules can be run somewhat autonomously based on documented dependencies

Unique Approaches  Extensive annotation within each module  Highlighted parameters to quickly adjust rules and inputs to perform scenario and sensitivity analysis

Unique Approaches  Where possible, results were compared against known outcomes using statistical analysis

Challenges  Focusing effort on high yield opportunities  Availability of input data  Rules that varied by geography  Always looking to test outcomes  Data maintenance

Business Benefits  Ability to quickly screen existing assets for utilization – adjust management or divest  Quickly screen potential acquisitions for undervaluation  Ability to identify data gaps, capture that data and improve the tool

Technical Benefits  Repeatable, testable toolset that the customer can maintain  Flexible architecture:  Simple updates of input data  Adjustable rules as economic conditions change  Ability to identify data gaps, capture that data and improve the tool

QUESTIONS? More information: Eric Klein: Thank You!