It's a normal human tendency to stay optimistic and believe that you are immune from disaster. We say, "that'll happen to other people, I'll hope for the best and focus on my day-to-day activities."
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Data analysis can help predict the outcome of a situation or allow you to protect your organization against risk. As discussed in a previous blog post, analysis has many benefits including mitigating repetitive losses, lowering insurance premiums, and more.
We recognize that data analysis can be difficult, particularly for organizations with a lot of data and complex processes. In fact, an estimated 75% of organizations lack the technology or strategy to effectively use their data. That’s why we came up with this simple guide on the steps for data analysis.
In a previous blog post, we discussed the importance of storing data and the value it can bring to any organization. Now, we’re going to talk about the next step in using data: analytics.
Analytics turn your data from useful to extremely effective and allow you to make changes that will benefit your organization as a whole. A survey by Deloitte found that 55% of organizations believe that analysis improves the organization's competitive position and 96% agree that it will continue to become more important over the next three years. Risk managers should utilize data analytics as they allow you to:
An average organization only uses 50% of their available data for decision-making. This is significant when you consider 70% of late adopters base their decisions on gut feeling or experience, while 60% of best-in-class companies use data analytics when making decisions.
Data is powerful when used to its full capability; by using all available data, an organization can establish a clear competitive advantage. Storing and regularly accessing relevant information will allow your organization to save time and money while drastically improving decision quality. Below are some of the key benefits that data utilization can have on your organization.