Analytics Centralization: An Efficient Structure

Most of the large organizations today understand the importance of analytics, yet they struggle to decide on whether to use a centralized or decentralized model of analytics implementation. It is important to consider the pros and cons of both the models and to structure the Analytics function correctly to gain the competitive advantage that analytics provide in today’s environment. In most organizations that try to start up an Analytics team, decentralized Analytics provides the quickest route to reaping the benefits of investing in analytics. In a decentralized analytics environment, an organization employs analytics in each function and department separately. This would mean that each operational and functional unit would have its own analysts, separate silos of data to work upon and dedicated analytics requests. This makes sense as a short term analytics strategy. Each line-of-business would have direct, full-time access to an analytics resource, and will get the quickest turna