© 2015, Fiatech Size Does Matter Making Big Data Small Case Studies

© 2015, Fiatech Opportunities Being Addressed Facilities and Infrastructure Decision Making Identifying and using relevant data to support decision making. Streamline Decision Making. Prioritize Investments. Maximize Return on Investment (ROI). Support Divestiture Opportunities. Minimize Risk. Presentation Takeaways/Deliverables

© 2015, Fiatech Opportunities Being Addressed Presentation Organization Facility Decision Making. Challenges. Definitions. Case Studies Approaches. Results. Presentation Takeaways/Deliverables

© 2015, Fiatech BLEVE Boiling Liquid, Expanding Vapor Explosion. School of thought for facilities decision making also known as the “Rule of Thumb” method of decision making: If the problem is far enough away to hide behind your thumb – it’s not yet important enough to fund. Until it blows up… Presentation Takeaways/Deliverables Murder Board: “Yours suck!” “Mine are great!” Smoke Filled Room: “If you vote for mine - I’ll vote for yours!” Squeaky Wheel: Whoever whines the most gets the most! High Dollar Bias: If you are only going to get one funded, you’ll go for the biggest Entitlement: “It’s what I had last year!” “This year I need more!” Fair Share: “We should all get the same!”

© 2015, Fiatech Facilities and Infrastructure Challenges Old Degraded Facilities/Infrastructure. Budget Constrained Environment. Increased Stakeholder Scrutiny. Demands for Accountability. Difficult to Predict Failure or Impact. Proliferation of Information. How to use data for decision making? Presentation Takeaways/Deliverables Constraints & Barriers

© 2015, Fiatech Presentation Takeaways/Deliverables Big Data “Big data is an all-encompassing term for any collection of data sets so large and complex that it becomes difficult to process them using traditional data processing applications.” Wikipedia. - meaning - “Big data is can be disconnected from people, inaccessible, unavailable or unusable for decision making, potentially meaningless or worse misleading. “ Tremaglio.

© 2015, Fiatech Presentation Takeaways/Deliverables Small Data “Small data is data that is small enough size for human comprehension.” Wikipedia - meaning - “Small data connects people with timely, meaningful insights (derived from big data and/or “local” sources), organized and packaged – often visually – to be accessible, understandable, and actionable for everyday tasks..” Wikipedia

© 2015, Fiatech Case Studies Guiding Principles Establish a Data Driven Process. Must be Defensible, Auditable, Repeatable, and Transparent (DART TM ) Performance Metrics Defined Measurement Criteria Risk-Based But what data to use? Approach & Benefits Realized

© 2015, Fiatech Clues from Strategic Documents “..monitor the condition of its assets, know where to reinvest for the greatest good” (ROI) “..enable asset planning, budgeting, and decision making processes.” “reduce risk of loss and improved life safety through better preventive maintenance, early hazard detection and timely corrective action” “..strategic, informed and timely reinvestment decision-making” “..preservation of mission-critical and high- margin asset values, service levels and operating efficiencies” Approach & Benefits Realized

© 2015, Fiatech Constraints & Barriers Case 1: Information Overload 184 facility assets/structures Dozens of customer types Multiple categories of property 21 building systems Multiple potential response actions Fully populated management system with >100,000 records

© 2015, Fiatech Case 1: Simplified Decision Making Compliance/Life-Safety Revenue Preservation/ Return on Investment Mission/Operations Contractual Redundancy Organizational Risk Approach & Benefits Realized Reputation Stewardship Strategy Planning Budget/Cost Condition

© 2015, Fiatech Case 1: Results of Going Small Developed a repeatable auditable process. Provided a data-driven decision framework. Relative Risk vs. Affordability Significantly decreased decision time. Resulted in 100% approval on budget requests. Approach & Benefits Realized

© 2015, Fiatech Case 2: Information Overload Detailed inventory and condition records for each asset. On average over 140 records for each asset, 20 or more key data points per record, and dozens of valid investment opportunities. Even small sites with 20 assets still found themselves digging through over 672,000 data points to support decisions. (140 x 20 x 12 x 20) Constraints & Barriers

© 2015, Fiatech Presentation Takeaways/Deliverables Case 2: A Simplified Decision Making Decision Framework based on Management Approach. Risk Indicators Defined for: Maintenance Code Compliance Improvements or Alterations Demolition/Divestiture Opportunities Cost/Return on Investments Developed Risk and Data Based Investment Recommendations

© 2015, Fiatech Case 2: Results of Going Small Identified 12 key indicators for each asset. Reduced required dataset size > 95% Graphical presentation to support decision making. Reduction of Organizational Risk ~3 FTEs/year labor savings (~1%). Approach & Benefits Realized Revised approach mitigated nearly 25x the risk of the traditional process for the same budget!

© 2015, Fiatech Top Level Support, Mandate, or Champion Multi-disciplinary Teams Sustained Effort Change Management Constraints & Barriers Additional Requirements:

© 2015, Fiatech Summary Must have a will to change approach. Use Strategic Goals and Objectives to identify required data. Use Risk Reduction to Drive Decisions. Think Small Future Work & Industry Adoption

© 2015, Fiatech Thank You… Are There Any Questions? Richard A. Tremaglio Principal Cardno Contact & More Information Size Does Matter Making Big Data Small Case Studies