Data driven analytics now plays a major role in how organizations make decisions across many sectors. Large volumes of data are used to improve operations, anticipate trends and better understand customers. While these practices offer clear advantages, they also bring increased exposure to cyber risks that must be addressed with intention and care. This subject was inspired by the article, “Navigating a changing risk landscape through data-driven analytics.” from Marsh.
Much of the risk comes from the type of information involved. Analytics initiatives often rely on sensitive data such as personal details, financial information and internal business knowledge. When this data is not adequately protected, it becomes an attractive target for cyberattacks. Breaches can result in loss of trust, operational disruption and compliance issues. For this reason, security cannot be treated as an afterthought. It needs to be considered at every point in the analytics lifecycle, from how data is collected to how it is stored and accessed.
Cloud based analytics has added another layer of complexity. These platforms offer flexibility and scale that many organizations need, but they also introduce new points of vulnerability. Data may move across multiple systems and environments, increasing the number of places where security controls must be applied and monitored. Strong governance and clear accountability are essential to managing this expanded landscape.
When organizations approach analytics with both innovation and security in mind, they are better positioned to succeed. Protecting data while extracting value from it supports long term resilience and helps maintain confidence among customers and regulators in an increasingly digital world.
Melody K. Smith
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