With over a decade of progressive leadership in data, analytics and modern technology, Ladan Irannejad’s career has spanned from software development, business intelligence architecture to executive leadership.
Ladan joined E-Comm in 2023 after serving as Director, Data Analytics, DevOps & Infrastructure for Providence Healthcare, where she was accountable for the development of enterprise-wide data strategies, and the overall responsibility for modern software platforms, and the analytics capabilities of the organization.
In her current role, Ladan is responsible for championing a data-driven culture and cross-functional collaboration, ensuring that insights derived from data are integrated into diverse areas of the business and utilized for improvement, planning, and decision-making and in achieving outcomes consistent with the business transformation plan and overall strategic direction of E-Comm.
Ladan received her BA in English Language Translation from Azad University in Tehran in 1996, and her Postgraduate Diploma in Computer Science from the Simon Fraser University in 2001.”
Day 1: Nov 18, 2025
Day 2: Nov 19, 2025
2:45 pm
CASE STUDY: DATA FOUNDATION
Building the Backbone: How E-Comm 9-1-1 Stood Up a Data and Analytics Function to Transform Emergency Response in B.C.
In a mission-critical environment like emergency communications, the difference between anecdote and analytics can be the difference between delay and response. In 2018, E-Comm 9-1-1 faced mounting pressure: declining service levels, unstructured data, and no dedicated analytics function to support operational strategy. Today, the organization is meeting its service targets across the board — thanks to the intentional buildout of a robust data and analytics department. Leave with a blueprint to:
- Build a board-approved business case for analytics as part of a broader transformation plan.
- Turn raw operational data into insights on staffing, seasonality, and call volume drivers.
- Develop predictive models to align workforce resources with unpredictable service demand.
- Support digital transformation initiatives including Next-Generation 9-1-1.
- Enable leaders to make evidence-based decisions under high-stakes conditions.
Saved seconds — and lives — by powering better public safety through predictive analytics.
