Reading Time: 3 Minutes ReadLast week, we kicked off a series that aims to expand on the implications of COVID-19 on the future of business and cloud technology. We gathered insights from experts across various industries to learn more about the strategies they’ve been applying to demonstrate resilience in the face of this pandemic, and about the effects this crisis will have on digitalization. In this week’s article, we dive deeper into the world of network analytics. Network analytics? Let’s unpack that. Network analytics uses a combination of science, various artificial intelligence (AI) and automation technologies to examine different types of network data, be they social, digital, or other, and how they develop and interact. It uses these observations to identify important trends and enables businesses to make data-driven decisions that can improve the efficiency and productivity of their operations. We asked network science expert Peter Ruppert to elaborate on what he believes to be the main areas companies should focus on when building their strategy to move forward. Ruppert is one of the co-founders of Maven7 and Scipher Medicine, as well as the EIR at Northeastern University’s world-renowned network science research lab. His work has him at the forefront of connections, technology, and business innovation. How businesses build strategies around uncovering connections in their data and optimizing them is crucial to their success in the recovery phase of this pandemic; cloud technology is one of the keys to unlocking this success. Ruppert stated that in the wake of this crisis, he and his teams of scientists and business experts are paying close attention to the following parameters.