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Leadership Challenges In Analytics

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the $1-6 billion range yearly. With 95 years in existence, thousands of employees, millions of policies and transactions, and billions of equity and revenue, one may infer financial strength and security, and in a world of brick and mortar buildings, restrictive regulations, and difficult to enter industries, I would agree. But in an environment of innovative startups, internet driven business models, artificial intelligence, and autonomous vehicles, the ability to compete in analytics will require the company to spend, innovate, and analyze the significant data compiled in my organization. One of the primary challenges that a long-standing organization like my company faces is change. Tenured employees, established workflows, …show more content…

The difference, I believe, or distinct capability of my company is and has been the customer service. Customers for generations were will willing to pay a few extra dollars annually for the peace of mind, great customer service, and loyalty that their parents and grandparents received from my company. I believe this current and future generation of drivers, renters, homeowners and investors are not as interested in that customer loyalty and personal service, especially at a higher cost. This group constitutes a new phenomenon of shoppers consistently re-evaluating their insurance and financial coverages for lower premiums and switching carriers frequently. Additionally, the typical neighborly availability and customer service of agents and brokers are replaced by computer-generated customer contact through text, social media, and tweets. In the last few years my company has gone through an analytical change at the executive level that generated change throughout the organization. One of the main changes was the development of an enterprise driven approach in all aspects of the organization. What had existed for many years prior to this change was 13-15 different zones and operations instituting 13-15 strategic approaches to achieve the same goal. In terms of analytics and data, the inconsistencies of reporting, capturing, and warehousing of data very difficult and time consuming to consume, digest and manipulate to any measurable accuracy. These

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