Data Driven Decision Process
The Tactical Security should be using a Data Driven Decision Process, where measurable data can be analyzed and be a base for the decisions.
Data-driven decision-making (DDDM) is defined as making decisions based on hard data as opposed to intuition, observation, or guesswork. The value of data-driven decisions is dependent on the quality of the data and its analysis and interpretation.
Data-driven decision-making (DDDM) is defined as using facts, metrics, and data to guide strategic business decisions that align with your goals, objectives, and initiatives.
Once you begin collecting and analyzing data, you’re likely to find that it’s easier to reach a confident decision about virtually any challenge
When you first implement a data-driven decision-making process, it’s likely to be reactionary in nature. The data tells a story, which you and your organization must then react to.
Data analysis is, at its heart, an attempt to find a pattern within, or correlation between, different data points. It’s from these patterns and correlations that insights and conclusions can be drawn.
Identify what data you have available that can be used to inform your decision. If no data exists, consider ways in which you could collect it on your own. Once you have the data, analyze it, and use any insights to help you make your decision.
A simple way of accomplishing this is to use Balanced scorecard. I am sharing one example on an evaluation Scorecard ( in this case it is to evaluate Suppliers, but the idea is the same with every type of evaluation)
In the case of tactical security, you would need to quantify your priorities and set it in to context of your perspectives
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Based on the tools that are available within IT security, the issue is not a lack of data, but a lack of analysis of the data.
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