Why Data Management Matters?


A recent report from the Farm Journal ( Farmer’s Perspective on Data, 2021 ) contained some interesting results about the use of digital tools on-farm in the United States:
  • 38% of farmers surveyed use one or more farm management information system (FMIS).
  • 47% of the farmers using farm management software were entirely satisfied with the software’s output.
  • 28% said that paper is their primary data storage method.
  • 45% identified data collection as a problem that makes using their agriculture data challenging.
  • 52% identified lack of training as a barrier to using digital tools and their farm’s data.
  • 37% believed that there was no demand for their farm data.


A similar survey conducted by Stratus Ag Research in 2020 (The Dynamics of Data in Agriculture: Western Canada 2020), found that there has not been a significant upward trend in the use of field data management software to capture field records during the latter part of the 2010s. This survey also finds that paper record keeping is still reportedly used by more than 50% of Western Canadian producers as a method to capture farming activities, which highlights the slow progression from manual processes to digital data collection and management.

Farm Credit Canada conducted a similar  survey of Canadian farmers in 2022  and found that over 90% of respondents used some form of data as part of managing their farm operation, with more than 60% reporting that they make moderate to extensive use of agricultural data. The main benefits identified by growers surveyed were the ability to make better decisions and manage costs.

These surveys illustrate the range of opinions connected to digital agriculture technology and the use of farm data. But, it is important not to get too caught up in the specific numbers. Instead, the survey results illustrate some of the challenges of successfully integrating new technology and new business practices. Overcoming some of these challenges is possible through strong data collection and management practices, which we will discuss in more detail throughout the remainder of this module.


What is Data Management?

Solid data management goes beyond purchasing new equipment or signing up for a new agtech software tool. That said, the concept of data management can be hard to get your hands around. To get started, here is a list of some of the key principles that go into building your on-farm data management practice.

Data management isn’t something that just happens. It requires proactive work with your trusted advisors and agtech vendors. 

Data management is an investment.  It takes both time and money. Data collection has costs associated with the purchase of equipment, software subscriptions, and of course your labour.  As a result it is important to understand how this investment creates new value and a return for your business. 

Early action matters. Just like how you cannot go back in time to replant your crop, you cannot go back in time to collect data from earlier in the season. 

Success starts with a plan. Leveraging your farm data to support data-driven decision making starts with having the end in mind. Good planning ensures you are collecting the right data and have the right knowledge, skills and technology in place to put that data to use. Good planning also means that you know why you are collecting certain kinds of data, and how the data will be used to benefit your farm business. The strength of your data collection practices will be felt downstream as you process and use your farm data.

Data management is an iterative (back-and-forth) process. It will take time to develop a robust data management practice on your farm. To get there, set small and achievable goals each year that drive continuous improvement.

Start by reflecting on the following questions:

1. Are you collecting enough data to help you make data-informed decisions?
2. Are you collecting the right data  - data that is linked to the most important aspects of your farming operation?
3. Is the data you are collecting accurate, precise and complete?
4. Are your current data management practices achieving the intended results? What could be done to improve upon them?

Ultimately, it is best to develop a longer term vision for the role of digital agriculture technology on your farm. This way you are able to ensure that any new technologies and equipment you purchase are well integrated into your operation. Have patience - this is an ongoing journey of improvement, not a one-and-done exercise.



Next:  🧑‍🤝‍🧑⁠⁠Key Roles: Trusted Advisors and Technology Vendors⁠