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Establish an Analytics Operating Model

Accelerate data-driven decision making.

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Organizations struggle to understand what's involved in the analytics developer lifecycle to generate reusable insights faster.

  • Self-serve business intelligence/analytics is misunderstood and confusing to the business, especially with regards to the roles and responsibilities of IT and the business.
  • End users are dissatisfied due to a lack of access to the data and the absence of a single source of truth.

Trust in data-driven decision making goes up with collaboration, engagement, and transparency.

  • Firms become more agile when they realize efficiencies in their analytics operating models and can then quickly implement reusable analytics.
  • IT becomes more flexible and efficient in understanding the business' data needs and eliminates redundant processes.
  • There is a clear path to continues improvement in analytics.

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Onsite Workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn’t enough, we offer low-cost onsite delivery of our Project Workshops. We take you through every phase of your project and ensure that you have a road map in place to complete your project successfully.

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Module 1: Define Your Analytics Needs

The Purpose

Achieve a clear understanding and case for data analytics.

Key Benefits Achieved

  • A successful analytics operating model starts with a good understanding of your analytical needs.

Activities: Outputs:
1.1 Review the business context.
1.2 Understand your analytics needs.
1.3 Draft analytics ideas and use cases.
1.4 Capture minimum viable analytics.
  • Documentation of analytics products and services

Module 2: Perform an Analytics Capability Assessment

The Purpose

Achieve a clear understanding of your organization's analytics capability and mapping across organizational functions.

Key Benefits Achieved

  • Understand your organization's data landscape and current analytics environment to gain a deeper understanding of your future analytics needs.

Activities: Outputs:
2.1 Capture your analytics capabilities.
2.2 Map capabilities to a hub-and-spoke model.
2.3 Document operating model results.
  • Capability assessment results

Module 3: Establish an Analytics Operating Model

The Purpose

Capture the right analytics operating model for your organization.

Key Benefits Achieved

  • Explore data operating model frameworks.
  • Capture the right analytics operating model for your organization using a step-by-step guide.

Activities: Outputs:
3.1 Discuss your operating model results.
3.2 Review your organizational structure’s pros and cons.
3.3 Map resources to target structure.
3.4 Brainstorm initiatives to develop your analytics capabilities.
  • Target operating model

Module 4: Implement Your Analytics Operating Model

The Purpose

Formalize your analytics organizational structure and prepare to implement your chosen analytics operating model.

Key Benefits Achieved

  • Implement your chosen analytics operating model.
  • Establish an engagement model and communications plan.

Activities: Outputs:
4.1 Document your target organizational structure and RACI.
  • Reporting and analytics responsibility matrix (RACI)
4.2 Establish an analytics engagement model.
  • Analytics engagement model
4.3 Develop an analytics communications plan.
  • Analytics communications plan
  • Analytics organizational chart
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