7:20 am Morning Coffee & Registration
8:20 am Chair’s Opening Remarks
8:30 am Keynote: Outlining an Ambitious but Achievable Analytics Roadmap that Focuses on Delivering Measurable Value to Your Firm
- Tony Peleska VP, Head of Information Technology & Digital Transformation, Kraus-Anderson Construction
• Reaffirming why investment in analytics is needed, both for risk management and company growth
• Articulating the business case to executives and KPIs for success: ensuring you focus on high-impact applications that save time and money, not ‘nice to have’ theory
• Revealing a reasonable timeline for establishing an analytics program and seeing results, including the lowest hanging fruit and long-term intentions
ALIGNING YOUR PEOPLE & PROCESSES AROUND DATA
9:10 am Rallying Your People Around a Data Centric Mindset & Gaining Buy-In to Your Analytics Roadmap
- Patrick Hennessy Director of Project Controls, Scheduling & Construction Analytics, Harkins Builders
• Defining what an excellent data-driven culture looks and feels like to ensure a shared vision of success
• Understanding how people gain and lose trust in data: how do you create a good first experience and maintain their buy-in?
• Focusing on field engagement: how can you immediately deliver value to PMs and Supers to ensure good collection of job site data and execution of analytics insights?
9:50 am Speed Networking & Morning Refreshments
10:40 am Gaining the Buy-In of Superintendents & Leveraging Affordable Technology to Make it Easier to Collect Data
- Jason Bedogne CIO, Kimbel Mechanical Systems
• Appreciating the day to day time pressures on the job site and the considerations when choosing data collection hardware and software
• Exploring the use of QR codes and other quicker fixes to make it easier for superintendents to send in data
• Making data work for them: hearing how data can make the lives of superintendents easier, which in turn gains their buy-in to providing accurate data
11:20 am Audience Discussion: Articulating & Gaining Buy-In for Your Analytics Roadmap
This is your opportunity to share your firm’s data objectives with other attendees on your table, and benchmark against theirs. What are your peers hoping to achieve, and what success or failure have they had in gaining the buy-in of their colleagues?
12:00 pm Networking Lunch
GOVERNANCE: DATA ACCESS & QUALITY
1:00 pm Balancing Easy & Timely Access to Data with Necessary Security Requirements
- Trevor Hietpas Manager of Insights & Analytics, The Boldt Company
• Establishing a framework and principles to determine who should get access to what data, for what purposes, and when
• Automating data access and providing clarity on the rules so those who should be able to access data can do so seamlessly
• Weighing the pros and cons of giving a core data team access to all enterprise data to enable blue sky discovery analytics without limitation
1:40 pm Improving Data Quality Through Consistent Field Collection Processes & Integration of IT Infrastructure
- Mike Cofer IT Director, Phillips Infrastructure Holdings
• Understanding how high data quality is critical to creating meaningful reports and gaining credibility
• Hearing how to integrate multiple data sources into a data warehouse with standardized format so it’s easier to analyze
• Pulling data from the field management systems into your system every night to ensure timeliness of reporting and data analytics
2:20 pm Audience Discussion: Data Access & Quality
This is your opportunity to benchmark your data governance strategy with your peers. What data are you enabling your staff to access? How close are your data connections with your project partners?
1:00 pm Maximizing Efficiency & Profitability Through the Tracking of Labor Efficiency, Production & Billing on All Jobs
- Jack Hineman VP Business Intelligence & Brand, Gaylor Electric
• Tracking labor and production to determine the efficient use of time on projects: what should the bell curve look like, and how does it look on real jobs?
• Ranking jobs by profitability compared to a suite of metrics including billing credits and job site location to identify what really drives project success
• Understanding how poor execution of a project can hinder planning the next job, creating a domino effect on profitability
1:40 pm Mining the Revit Model for Element Location & Quantity & Visualizing in PowerBI Tied to Cost, Schedule & Supply Chain to Improve Design & Project Controls
- Christopher Heger VP, Chief Innovation Officer, OAC Services
- Kevin Smith Project Manager, OAC Services
• Hearing how cost and schedule can be tied using a primary key attached to each elements of the BIMnmodel in AZURE SQL to transform visibility of project productivity
• Understanding how an element driven project rather than a labour driven project improves planning and is data driven.
• Understanding how calculating task length of each element can better forecast the task and project status and hence react to delay risk sooner
• Gaining transparency of the supply chain of each BIM element to identify risks and informing design and client choices
2:20 pm Audience Discussion: Cutting Edge Applications
Each table will discuss interesting, high value applications that attendees have implemented. Each table will then identify their favourite use case to share with the rest of the conference attendees.
3:00 pm Afternoon Refreshments
HIRING & TRAINING YOUR ANALYTICS TEAM
3:40 pm Adopting a Lean Approach to Data Analytics Using Existing Staff & Accessible, Affordable Tools
- Aaron Toppston Managing Director of Infrastructure Investments & Strategic Planning, The Walsh Group
• Hearing how you can kickstart an analytics program by training your existing staff without the need to hire externally
• Exploring the capabilities of low-cost, accessible tools: you don’t need a large technology budget to get value from your data
• Continuously assessing the efficiency of your analytics team and adopting lean approaches to focus on delivering value
4:20 pm How to Integrate Staff with Low IT Skills into Your Data-Driven Processes
- Adam Krob IT Director, Boh Bros Construction
• Identifying the staff that provide high value and experience to your firm but struggle with adopting to new technology or data-driven processes: who needs the extra support?
• Deciding how to create useful data for the field and measure if it is making a difference
• Determining the optimal role of experience & intuition in decision making: when is it okay to put the data to one side and allow staff to get on with the job in their own way?