Operational Data Strategy

We help businesses make their customer experience Intentional, Informed, Customized and Progressive using data.

What is operational data strategy

Operational data strategy drives improvement in customer experiences and achieves operationalization of leadership strategy by marrying customer touchpoint roadmap to data assets design strategy. This is achieved by making customer touchpoints intentional, informed, customized and progressive using data.

Why Operational data strategy

The strategy classifies the data needs into two. One, research based needs. These are the questions you get asked one time. For example, what is the correlation between sales of cars and digital advertisements. On the other hand, we have the operational data needs. Operation data needs are different because they help operationalize leadership strategy. These are the questions that need to be answered every day so that the employees are taking the right actions aligned to the leadership strategy. For example, Who should we prioritize selling cars to. This question needs to be answered every day. The answer is guided by the business rules as established by the leadership. The problem with most of the data strategies is that they make the mistake of developing the answer to both in the same way.

Fruits of operational data strategy

The full value realization post operational data strategy implementation can be summarized in three points

• Operationalization of leadership strategy

• • Surface actionable insights aligned with leadership strategy

  • Reduce data that pulls organization in different directions

  • Identify gaps in processes that can be bridged using data

  • Monitoring the integrity and performance of processes so that they are not overwhelmed

• Improving customer experience by making the interactions, Intentional, Informed, Customized and progressive

• Streamline data assets development by making the development process iterative