7:20 am Morning Coffee & Registration

8:20 am Chair’s Opening Remarks


8:30 am Designing Highly Valuable Dashboards & Reports that are Easy to Use & Offer Useful Insights


• Creating a collaborative process between dashboard designers and users to establish a shared understanding of what data needs to be included and that data is easily accessible
• Reviewing the latest data visualization best practices to ensure dashboards and reports are engaging and easy to understand, with minimal risk of misinterpretation: a focus on simplicity
• Revealing ‘skyline reporting’, a dashboard that helps check the feasibility of project milestones and improves productivity on the job site

9:10 am Identifying What’s Important: Aligning Subject Matter Experts with Technical Staff to Determine the KPIs that Matter to Senior Executives

  • Joshua Mercado Director, BIM and Technology Integration, The Boldt Company


• Establishing the right vocabulary to understand the needs of senior executives: what do they care about beyond cost?
• Working with subject matter experts such as department directors to identify the specific metrics and KPIs that are relevant to the business
• Translating the technical language used by data and IT professionals to the vocabulary used by executive to rally all layers of the firms around the identified KPIs

9:50 am Morning Refreshments

10:30 am Panel: Identifying Predictive Indicators & Metrics to Track: What are the Numbers that Should Inform Decision Making?

  • Jason Bedogne CIO, Kimbel Mechanical Systems
  • Aaron Toppston Managing Director of Infrastructure Investments & Strategic Planning, The Walsh Group
  • Patrick Hennessy Director of Project Controls, Scheduling & Construction Analytics, Harkins Builders
  • Steve Haller IT Business Relationship Director, Messer Construction
  • Erena Friedrich Reports & Indicators Manager & Data Analyst, Hoffman Construction


• Determining if there is an efficient method for discovering predictive indicators, or whether it’s simply a process of trial and error
• Assessing the level of data quality and strength of correlation needed between predictive and lagging indicators to give you enough confidence to make decisions on the data
• Revealing some of the predictive indicators already identified and how they have been used to inform decision making

11:20 am The Art of Winning: Establishing Bizdev Best Practices to Make Winning Jobs & Growing Your Revenue Certainties


  • Deciding on a mindset reset and understanding the ways in which the relational nature of the construction industry has evolved since the previous generation
  • Adopting elegantly simple relationship management strategies that set your sales team up for success and ignites their buy-in
  • Learning invaluable lessons from data reporting in real-time to propel your business into something that will stand the test of time

11:35 am Audience Discussion: Sharing Discoveries on Predictive Indicators


This is your opportunity to have an informal discussion on what predictive indicators you have found across your business. What numbers do you look at to identify a problem in advance? And how do those numbers influence your decision making?

12:00 pm Networking Lunch

1:00 pm Data Management Framework & Architecture: Outlining the Principles of Designing a Wholistic Data Management Program & Describing Each Component

  • Brian Tighe National Director, Project Analytics, Skanska
  • Joe Dib Head of Data Management, Skanska


• Where to start? Addressing the complexity of your current data structure and figuring out where you are trying to get to
• Addressing some of the most common headaches when trying to integrate different data sources
• Reviewing low-cost methods for getting systems to talk to each other when you’re working on a budget

1:40 pm Presentation by Assignar – Harnessing Data to Overcome the Productivity Crisis

1:55 pm Applying Data Management & Analytics to Company Wide Financial Management to Improve Timeliness of Payments


• Improving relationships between finance, accounting, project controls and other departments to identify the roadblocks in data collection
• Identifying specific financial use cases for the data such as making sure payments are received and sent out on time
• Overcoming the implementation obstacles such as interdepartmental buy-in and improving communication

2:35 pm End of Conference