Buck Analytics for Dummies (Part 1)

Buck analytics is a method of turning data into insights which will allow us to better predict deer behavior. It helps the hunter to segment this data, uncover hidden patterns, and to make optimal decisions on where and when to hunt. The challenge is to figure out what data is useful and what should be ignored.

Turning data into predictable insights includes:

Finding the ideal buck to hunt.
Locating the ideal stand location.
Optimizing your valuable hunting time.
Increasing your success rate on big bucks.

Today hunters can find all of the data they need to dramatically improve their hunting success. There are harvest reports from wildlife departments, satellite images from outer space, and trail cameras. Our ability to gather data has changed the way we hunt forever.

While gathering data has become relatively easy, segmenting that data can be difficult. Start by defining what you want to achieve through analytics. What will have the biggest impact on your hunting? Is your focus on finding new locations to hunt or are you trying to determine how to better hunt an existing location? Perhaps your biggest concern is limit unproductive days? The questions you ask yourself up-front will narrow the amount of data you’ll need for any scenario.
-Jim

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