7:20 am Morning Coffee & Registration
8:20 am Chair’s Opening Remarks
REPORTING & METRICS
8:30 am Designing Highly Valuable Dashboards & Reports that are Easy to Use & Offer Useful Insights
- Kurt Zschietzschmann Business Intelligence Developer, Kiewit
• 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 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
• 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 Working Around a Legacy ERP with Integrated Cloud & On-Premise IT Infrastructure to Ensure Your Data is Ready for Analytics
- Christian Hanaway IT Director, GE Johnson
• Outlining the functionality you need to conduct cutting edge analytics: what boxes does your IT infrastructure need to tick?
• Developing a vision for your IT roadmap: what should you keep? What should you upgrade?
• Hearing how to make your data accessible in the short term, when a legacy ERP and disruption of technology changes appear to hold you back
2:30 pm Audience Discussion: Data Infrastructure
This is your opportunity to have an informal discussion on IT infrastructure challenges and roadmap. How are you ensuring that you have an integrated source of truth? What technologies are you adopting?
1:00 pm Developing a HR Portal that Tracks Employee History & Identifies Red Flags to Improve Happiness & Retention
- Andrew Herd Software Development Manager, Kimbel Mechanical Systems
• Outlining the value and business case of an interactive organizational chart with employee histories, reports and other metrics tracked
• Understanding how data analytics integrates with the soft skills of HR to identify ‘red flags’ and better target career counselling and support
• Hearing what data is needed for the tool, how it was collected and stored, and the high level development process
1:40 pm Applying Data Management & Analytics to Company Wide Financial Management to Improve Timeliness of Payments
- Angel Douglas Stiemert Business Operations Manager, Ryan Companies
• 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
2:20 pm Creating a Business Development Dashboard: How to Collect the Right Data, Gain Buy-In & Visualize for Preconstruction
- Yeong Heo Business Intelligence Analyst, Kiewit
• Creating a relationship between the dashboard designer and the end user to identify critical metrics such as win/ loss ratio, backlog and competitor information
• Closing the circuit between what your end users believe and reality: how do you present the data in a convincing way?
• Assessing ways to clean up and ensure the quality of data to build trust and ensure it informs the correct decision making