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.
Book Your Workshop
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.
Book NowModule 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: | |
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| 1.1 | Review the business context. |
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| 1.2 | Understand your analytics needs. |
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| 1.3 | Draft analytics ideas and use cases. |
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| 1.4 | Capture minimum viable analytics. |
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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. |
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| 2.2 | Map capabilities to a hub-and-spoke model. |
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| 2.3 | Document operating model results. |
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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. |
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| 3.2 | Review your organizational structure’s pros and cons. |
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| 3.3 | Map resources to target structure. |
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| 3.4 | Brainstorm initiatives to develop your analytics capabilities. |
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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. |
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| 4.2 | Establish an analytics engagement model. |
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| 4.3 | Develop an analytics communications plan. |
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