IT, analytics and operations are departments within organizations which need to work together. The models of collaboration may be different but the end objective has to be efficient delivery of services. Four models have been revealed. In the first one, operational data and business analytics functions are integrated to one team. Here no corporate IT is needed, instead processes are inbuilt. Then there is the model where analytics and IT are independent of each other. Here it is corporate IT that is used as the engine to power analytics. In the third model, data analytics is embedded within IT. This model avoids digital disruptions but business demands exceed the capacity very often. On the other hand, the last model has the same analytics embedded within operations department. All these models have some advantages or disadvantages over the other ones.

Source: https://hbr.org/2016/08/figuring-out-how-it-analytics-and-operations-should-work-together