The Five Stages of Analytics Adoption
In this episode of Fire Headlines, host Samantha Didion is joined by Chief Ken Kehmna and special guest Daniel Haight, President and Co-Founder of Darkhorse Analytics and Darkhorse Emergency, to explore how data analytics can transform the fire service. They break down the five stages of analytics adoption—deny, blame, game, accept, and optimize—while discussing strategies to overcome resistance and use data to improve decision-making and operations.
Explore the five stages of analytics adoption in the fire service and learn how data can drive change on the latest episode of WFCA’s Fire Headlines Podcast.
In this episode of Fire Headlines, host Samantha Didion is joined by Chief Ken Kehmna and special guest Daniel Haight, President and Co-Founder of Darkhorse Analytics and Darkhorse Emergency, to explore how data analytics can transform the fire service. They break down the five stages of analytics adoption—deny, blame, game, accept, and optimize—while discussing strategies to overcome resistance and use data to improve decision-making and operations.
The Five Stages
Daniel Haight introduces each stage of the analytics journey, starting with the “deny” stage, where skepticism is high and departments are resistant to change. He explains how the process often moves to the “blame” stage, where initial challenges with data can lead to frustration. In the “game” stage, analytics might be viewed competitively, rather than collaboratively, as departments test out new strategies and tools.
Once departments reach the “accept” stage, they begin to recognize the value of using data to inform operations and decisions. The final stage, “optimize,” is when fire departments fully integrate data analytics into daily operations, using insights to refine tactics, allocate resources more effectively, and even predict future trends.
Overcoming Barriers to Analytics Adoption
Chief Kehmna and Daniel explore the common barriers fire departments face when adopting data-driven strategies, such as concerns over data accuracy or the fear of replacing traditional methods. They share practical steps for overcoming these challenges, from starting small pilot projects to building a culture that supports ongoing learning and innovation.
Real-World Success Stories
The episode features real-world examples of how fire agencies have used data to drive change. Daniel describes how departments have restructured their operations, optimized station placements, and improved response times by leveraging analytical insights. These success stories highlight how even small-scale data projects can lead to significant improvements in efficiency and safety.
Looking Ahead: Embracing Data for the Future
Chief Kehmna and Daniel conclude by discussing what it means for fire departments to move from acceptance to optimization. They emphasize the importance of embracing data as a continuous process, not a one-time solution. By focusing on long-term goals, fire service leaders can harness the full potential of analytics to better serve their communities.
You can email Fire Headlines at [email protected].
Learn more about Darkhorse Analytics and Darkhorse Emergency.
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