Data Analytics Public Sector Summit | Day 2:

Gain insight into today’s sessions so you can get the most out of your conference experience.

Major investments in housing, energy, transportation, climate resilience, and digital government are raising the stakes for public sector delivery. Enhance your strategy with approaches to:

• Perfect your data platforms to improve visibility across large, complex investment portfolios.
• Master predictive analytics for infrastructure performance, maintenance, and risk.
• Heighten your decision-making across delivery, policy, and accountability.
• Amplify digital capabilities that support long-term national resilience and productivity.

Use data and analytics to manage your infrastructure investment more intelligently, transparently, and effectively.

Governments cannot deliver on their data and AI ambitions through specialist teams alone. Data literacy needs to reach your entire workforce. Walk away with practical skills to:

• Transform data capability gaps across functions, levels, and business units.
• Perfect training and enablement models.
• Bolster confidence in using data and AI tools responsibly.
• Excel momentum for a more data-driven culture.

Equip more of your workforce to engage confidently with data and AI in practical, responsible ways.

Share common challenges and best practices with your peers in a topic-focused discussion. Walk away with strategies to:

• Advance AI in Government: Moving from pilots to production.
• Master Data Ecosystems & Intergovernmental Collaboration: Building data-sharing capability.
• Amplify Indigenous Data Sovereignty: Supporting ethical governance and OCAP-aligned practices.
• Enhance Privacy Engineering & Digital Trust: Enabling secure and scalable data.
• Enrich Real-Time Government Data: Turn live data into operational awareness.

Leave with peer-tested ideas, practical contacts, and sharper insight into the choices shaping data and AI across government.

Public sector organizations are under increasing pressure to deliver seamless, equitable, and responsive services. Yet population and service data are often fragmented across disconnected systems, legacy platforms, and departmental silos, making it difficult to coordinate services, reduce duplication, and maintain public trust. Learn how KHP addresses these challenges through service mapping, creating a more connected, person-centered approach to service delivery. Walk away with strategies to: 

• Improve visibility across programs and services to support more coordinated service delivery. 

• Integrate public and service data while respecting privacy, governance, and accountability requirements. 

• Enable faster, more informed decision-making through a connected view of services and populations. 

Support modernization and interoperability initiatives that strengthen fairness, transparency, and service outcomes. 

Fifty-five years of technology investment across the Government of Canada has created a deeply fragmented data landscape where thousands of applications, disconnected standards, and overlapping authorities make even foundational data consistency a major operational challenge. As new services, platforms, and digital initiatives continue to emerge, organizations are forced to balance modernization with the realities of legacy infrastructure, incompatible systems, and decentralized governance structures. Move beyond circular governance discussions and create practical pathways toward enterprise-wide consistency by: 

• Establishing scalable data and metadata standards that improve interoperability without disrupting critical legacy systems. 

• Building cross-department governance models that align ownership, accountability, and decision-making authority. 

• Creating community-driven approaches to standardization that accelerate consensus across distributed organizations. 

Strengthen interoperability, reduce operational friction, and create the foundations for scalable, connected digital government services. 

Governments have no shortage of dashboards, reports, and analytics—but too often, valuable insights fail to translate into meaningful action. As public sector organizations strive to become more data-driven, the challenge is no longer generating insights, but embedding them into everyday decisions, operational workflows, and frontline services. Explore practical approaches to closing the gap between analytics and action by learning how to: 

• Embed analytics into operational decision-making to support faster, evidence-based outcomes across government. 

• Deliver the right insights to the right people through intuitive tools, automation, and decision-centric workflows. 

• Measure the real-world impact of data initiatives by linking analytics to service delivery, policy outcomes, and organizational performance. 

• Build a culture of action where trusted data informs decisions at every level of the organization. 

Create an operational analytics capability that delivers measurable improvements in public services, organizational performance, and citizen outcomes.

Municipal leaders know the challenge is not just technical. Departmental incentives, legacy processes, resource constraints, and local politics can all stand in the way of integrated data use. Enhance your playbook with tactics to: 

• Eliminate local governance, ownership, and accountability barriers to sharing data. 

• Bolster internal coalitions that support coordinated delivery. 

• Perfect practical standards and operating models. 

• Advance interoperability without waiting for perfect systems or perfect conditions. 

Break down the cultural and structural barriers that keep municipal data siloed. 

Municipal leaders know the challenge is not just technical. Departmental incentives, legacy processes, resource constraints, and local politics can all stand in the way of integrated data use. Enhance your playbook with tactics to:

• Eliminate local governance, ownership, and accountability barriers to sharing data.
• Bolster internal coalitions that support coordinated delivery.
• Perfect practical standards and operating models.
• Advance interoperability without waiting for perfect systems or perfect conditions.

Break down the cultural and structural barriers that keep municipal data siloed.

Review the key solutions and takeaways from the conference. Source a summary of action points to implement in your work.