RISK MANAGEMENT BLOG

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.

Municipal risk managers have significant responsibilities. Resident complaints, employee incidents, and a continuous stream of claims are just some of the challenges that are compounded by an inefficient system and the need to juggle priorities. Claims and risk automation allows the public sector to streamline their processes and achieve numerous benefits.

Insurance is essential but costly. Every organization needs it, or they risk shutting down in the face of a crisis they can’t recover from.

Even so, insurance premiums come with a hefty price tag. Smaller organizations may feel that insurance coverage is out of their reach while large corporations must control the hundreds of claims they face per year. Either way, all organizations must find a way to reduce their insurance costs to ensure they can protect themselves without spending too much money.