Tuesday April 15, 2025
7:00 am Registration & Coffee
7:50 am Chair’s Opening Remarks
Foundations of Data Analytics Excellence
8:00 am Igniting Analytics Excellence with a Powerful Strategy for Sustainable Growth
Synopsis
- Exploring the stages of analytics growth, from fragmented data to AI-driven
- Creating key metrics to assess your analytics maturity and understanding how to drive progress to the next stage
- Reviewing where companies commonly make mistakes along their journey and how you can avoid making the same mistakes
8:40 am Building a Robust Data Tech Stack to Streamline Data Integration, At Scale
Synopsis
- Exploring versatile API and iPaaS solutions for seamless, cost-effective data integration, highlighting their advantages over SQL in reducing complexity and improving data accuracy
- Examining the potential for tools like Power Automate, Workato, and Retool for automating data flows
- Assessing the suitability of top industry tools through a Magic Quadrant-style evaluation based on company needs
- Tackling challenges mid-sized companies face when scaling and introducing new data technologies
9:20 am Laying the Foundation: Why Analytics is Key to a Data Mobility Strategy
Synopsis
- Learn about the latest industry trends regarding leveraging data in Construction and hear why having a Data Mobility Strategy is mission critical for a successful modern Construction business
- See the key role that Analytics plays in maximizing the business benefits in a Data Mobility Strategy
- Hear first hand from an industry leader [Justin] how a Data Mobility strategy leveraging advanced Analytics has transformed their business
- Understand how Procore’s Analytics capabilities can help you transform your business now into one that is built for the AI-driven future
9:50 am Morning Refreshments
Data Security & Governance
10:30 am Collaborating with End Users to Streamline Data Input for Increased Accuracy & Efficiency
- Sharing essential documentation practices before project initiation, including templates for capturing data requirements
- Identifying reasons users hesitate to provide data and exploring techniques to encourage accurate data entry
- Discussing methods for integrating data from trade partners and external entities for a comprehensive project view
- Sharing best practices for coordinating technologies to ensure immediate usability and relevance of collected data
Matt Fairbanks, Chief Information Officer, VECA Electric & Technologies
11:10 am Breaking Down Silos: How a Firm-Wide Cloud Data Platform Can Drive Efficiencies and Insights
- Construction firms struggle with siloed data and disconnected systems, making it difficult to gain real-time insights and drive efficiency.
- By implementing a roadmap and enterprise data & AI strategy, businesses can consolidate information, improve governance, and generate AI-driven insights
- We will identify key questions to ask and steps for designing and implementing a centralized data strategy, including best practices for: Data Platform, Data Integrations, Data Governance and Security, Advance Analytics, AI/ML & GenAI
Pete Currin, Construction Industry Lead, HSO
Assad Mahmood, Vice President, Data Analytics, HSO
11:40 am Developing Strategies for Effectively Cleaning Data to Ensure Integrity & Accuracy in Decision Making
- Showcasing success stories and challenges in ensuring data integrity, emphasizing the shared accountability and support required from all parties in data practices
- Utilizing detailed reports to identify and highlight specific data quality issues, enabling targeted resource allocation to address these problems effectively
- Exploring best practices for training employees in data entry and cleaning techniques
Eric Anderson, SQL Developer & Data Engineer, Miller Valentine Construction
12:20 pm Building a Standardized Data Governance Framework to Improve Quality & Timeliness of Data Inputs
Join this breakout to collaborate with your peers on strategies for establishing clear definitions for data and KPIs to align stakeholders, improve reporting accuracy, and enhance collaboration. Participants will also explore strategies for mapping data ownership and identifying key metrics to measure and improve data governance effectiveness.
12:40 pm Lunch Break
Optimizing Data Storage & Processing
1:40 pm Developing a Robust Data Lake to Enhance Large-Scale Storage & Processing
- Identifying the trigger for when a data lake becomes necessary for a construction organization: What are the benefits that a data lake can offer?
- Exploring the various approaches and tools used to quickly and efficiently ingest data into data lakes
- Harnessing robust ETL processes and effective management of data extraction pipelines to enhance data lake performance
Ryan Foshage, Director of Analytics, Alberici Constructors
2:20 pm Streamlining Data Warehousing Practices to Create Quick Insights from Raw Data
- Evaluating the advantages of outsourcing versus inhouse development for data warehouse creation and identifying which approach is most effective for your firm
- Discussing strategies and tools used by organizations for cleaning and validating the data in their data lakes
- How to best structure data in the data warehouse for speed of analysis and reporting
Trish Bradshaw, Senior Data Analyst, Keeley Co.
3:00 pm Audience Discussion: Discussing Best Practices for Data Organization, Accessibility & Quality in Data Lakes & Warehouses
Join this breakout to explore effective practices for organizing and accessing data within data lakes and warehouses, including cleaning legacy data to enhance quality. Exchange your innovative strategies for refining data workflows to ease retrieval and analysis, and uncover actionable insights to elevate your organization’s infrastructure.
3:20 pm Afternoon Refreshments
Unlocking the Future of AI
4:00 pm Panel: Sharing Strategies, Risks & Real-World Use Cases of AI in Construction
Synopsis
- Analyzing the critical first steps in formulating an AI strategy that aligns with your business objectives: How have we set realistic goals, established clear expectations, and built a framework for trust in AI systems?
- Discussing best practices for data collection, management, and governance to ensure the accuracy and integrity of AI outputs
- Selecting pilot projects, measuring success, and scaling successful initiatives across the organization
- Sharing real-world examples of missteps in AI adoption, including lack of stakeholder engagement, unclear objectives, and inadequate training
4:40 pm Chair’s Closing Remarks
4:50 pm Advancing Construction Hosted Happy Hour
Synopsis
Extend the networking and discussion opportunity well into the evening to build even more meaningful relationships with peers after a full day of insightful content!