You, me, we. All of us make a lot of decisions. From personal decisions like what to wear, to work-related decisions, such as when divest acreage, decision making is a very common process for determining what’s next.
So common is decision making, that a Forbes.com article on leadership says that managers and executives average nearly 3 billion decisions each and every year.
From intuitive to highly analytical, to pro-con lists, there are almost as many ways to make a decision as there are leaders.
Why then, with all the high-powered brains making thousands of decisions each and every day, doesn’t every decision lead to astounding success and outrageous profitability?
Well, because the decision-making process requires a careful mental balance between rationality and emotion, and it’s virtually impossible to get the equation right 100 percent of the time.
Good decision making, say researchers, is predicated on accurately tracking, measuring, and managing data while limiting emotional influences and personal biases.
At Orbis, we’ve developed a number of geographic information systems (GIS) solutions to help the timberland investment industry make better, more informed decisions through confidence in their data to drive results.
To help you understand, we’ve pulled together this short list of ways GIS can impact decision making for the better.
1. Centralized Information
The What: GIS enables the capture, storage, and display of all kinds of critical on-the-ground data and geographically referenced information onto one map.
The Why: Uncomplicating data and subsequent data sharing allows the information to be more readily seen, analyzed, and understood by key stakeholders.
2. Data Comparison
The What: GIS collects objective data using a location referenced system.
The Why: Data collected at a particular location can be compared with other data or information in order to determine relevance and priority.
3. Predictive Analytics
The What: GIS enables the integration of many different types of information, such as aerial photographs, tabular data, and digital satellite data.
The Why: The totality of data can be used to calculate risk, make projections and forecasts, and manage inventory
4. Dataset Relationships
The What: GIS helps uncover patterns and show visual connections among and between data.
The Why: Understanding correlations and causations among datasets and variables is the start of defining both short- and long-term strategies for bringing about desired outcomes.
Done right, GIS mapping can play a crucial role in helping timberland investors understand their current position, so they can develop comprehensive strategies for future success.
Looking for even more ways to use GIS? Tell us more in the comments.