INTEGRATED PROCESSES

Successful analytics implementation should be based on an integrated process. In other words, your analytics implementation should be integrated across your organization, without silos, competing functional team agendas, or disconnected work flows. Processes related to analytics should be integrated as much as possible, either formally or informally. For example, the technology required to implement analytics must be integrated into your business analytics function, through either a direct reporting relationship or a close and trusted collaboration. The goal of integrated processes related to analytics is to optimize the overall success of your analytics initiatives and ultimately deliver for the organization, with the highest impact at the lowest cost. If time is wasted in trying to track down disparate technology resources, data, or corporate knowledge, your ability to execute analytics effectively will suffer. Analytics needs to be delivered via an integrated process: a one-stop shop.

An integrated process could include but is not limited to

  • Getting 360-degree consistent and credible views of customer information across departments.
  • Integrating customer information from multiple sources (internal and external data) with cross-departmental access to ensure that it is properly leveraged.
  • Connecting all recent corporate customer analytics history via the organizational touch points into one central repository.
  • Making technology resources aligned and accountable ...

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