At this year’s FAOPMA Pest Summit in Mumbai, Jo Lynn Teh, Director of Strategy & Business Development for HYSIA Singapore, presented an insightful session titled “Using Data for Better Pest Management? It’s Not That Hard.” We’re excited to share the highlights of her talk and the actionable insights that can empower pest management professionals to drive better outcomes with data and technology.

The Role of Data in Effective Pest Management

Jo Lynn opened her session by addressing some common misconceptions about data in pest management, noting that many businesses believe data collection is too complex or unnecessary. She explained that, in reality, data is fundamental to building strategies that are both effective and sustainable.

1. Understanding and Collecting the Right Data

To guide pest management strategies, Jo Lynn emphasised the importance of focusing on two key data types:

• Pest Data: Tracking metrics like insect counts, bait consumption, entry points, and mosquito larva counts helps businesses shape targeted pest management strategies.
• Business Data: Operational metrics like revenue per account, customer complaints, technician hours, and fleet movement optimise efficiency and client satisfaction.

She explained that this data provides a solid foundation for making informed decisions and proactively tackling pest control challenges.

2. Using Data Analysis to Gain Insight

Jo Lynn highlighted that collecting data is only the first step; meaningful insights come from analysis. She outlined three essential techniques:

• Trend Analysis to identify patterns over time
• Thresholds to signal when pest activity requires action
• Heat Maps to pinpoint hotspots for targeted intervention

For businesses managing large data samples, Jo Lynn recommended biostatistics as a tool to refine strategies further. By analysing trends and setting thresholds, pest control teams can respond effectively and prevent issues before they escalate.

3. Interpreting Data for Strategic Planning

One of the most impactful points Jo Lynn made was the value of data interpretation. Data interpretation, she explained, allows pest management businesses to strategize effectively, using insights to address problems and make data-backed decisions that enhance service quality. Her session underscored how interpreting data correctly translates into a more proactive, efficient approach to pest management.

Embracing Technology to Support Data-Driven Pest Management

Moving into the second half of her talk, Jo Lynn shared valuable insights on how technology can simplify data management and optimize operations.

1. Productivity Tools to Streamline Operations

Jo Lynn highlighted tools that enhance business productivity, such as accounting software, customer management systems, fleet management tools, and digital reporting. She stressed that these tools make pest management not only measurable and proactive but also sustainable.

2. IoT and Sensors for Real-Time Monitoring

A key takeaway was Jo Lynn’s emphasis on Internet of Things (IoT) applications. She showcased how IoT can provide real-time monitoring, citing remote rodent monitoring as an example of how sensors can deliver instant updates, helping pest control teams respond rapidly and effectively.

3. AI and Machine Learning for Improved Efficiency

Jo Lynn also covered the advantages of AI and machine learning in pest management. Tools like ChatGPT, she noted, can support professionals by creating presentation outlines, drafting proposals, and even generating marketing content. She concluded with an important reminder: AI should always be used responsibly to avoid spreading inaccurate messages.

Jo Lynn’s session was a powerful reminder that data and technology, when used responsibly, can revolutionize pest management. By embracing data collection, meaningful analysis, and tech-driven solutions, pest control businesses can create safer, healthier environments for their communities.

Interested in learning more about data-driven pest management? Contact us at info@hysia.sg for more insights.