Define a Data Practice Strategy to Power an Autonomous Enterprise
Exponential IT transformations cannot be achieved without Data, analytics and AI capabilities.
Book This WorkshopWithout the appropriate data & analytics practice structure and strategy, your team will be:
- Wasting time and resources on managing all data assets equally, missing business opportunities due to a lack of understanding of the most valuable data assets as the actual differentiator in value generation.
- Struggle to meet business needs to innovate, grow, create differentiators and stay ahead of the competition.
- Continue to miss opportunity presented by new and exponentially developing technologies because of the lack of understanding of how technology impacts the organization.
A well-defined data & analytics practice strategy allows you to:
- Define your practice capabilities and ensure that they are integrated into the IT and business capabilities.
- Identify your data value delivery gaps and understand the steps to resolve these gaps.
- Define how to break business and IT silos and ensure that they operate as a single team.
- Define skills requires to close the skills gap.
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: Answer “So What?”
The Purpose
- Define achievable and reasonable objectives for your data & analytics practice
- Define practice business capabilities
Key Benefits Achieved
- Data & analytics objectives clearly articulated
- Value stream and business capability map defines how the practice deliver value to the organization
| Activities: | Outputs: | |
|---|---|---|
| 1.1 | Create vision & mission for the organization’s data practice strategy |
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| 1.2 | Define value streams |
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| 1.3 | Build level 1 business capability map |
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Module 2: Assess Data & Analytics Practice Maturity
The Purpose
- Evaluate the current state of your data & analytics practice
- Define practice target operating model
Key Benefits Achieved
- Current state assessment across multiple areas of practice capabilities and operations
- Defined the model of how the practice needs to operate to achieve business and IT alignment
| Activities: | Outputs: | |
|---|---|---|
| 2.1 | Access your data practice maturity |
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| 2.2 | Identify your target operating model |
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Module 3: Assess Your Skills; Build Your Framework
The Purpose
- Define skills gap for IT and business teams
- Define communication plan that will improve the collaboration between IT and business
- Define data development framework
Key Benefits Achieved
- Understanding of the skills that require improvement
- Approach to collaboration between business and IT teams to remove team silos
- Define how data delivers value within the organization
| Activities: | Outputs: | |
|---|---|---|
| 3.1 | Identify skills gaps |
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| 3.2 | Develop your stakeholder communication plan |
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| 3.3 | Define your data framework |
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Module 4: Bridge the Gap to Target State
The Purpose
- Roadmap your initiatives to achieve the target state of data & analytics practice
Key Benefits Achieved
- An achievable roadmap of initiatives to achieve your practice target state
| Activities: | Outputs: | |
|---|---|---|
| 4.1 | Define your data practice action items |
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| 4.2 | Prioritize with Now, Next, Later |
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| 4.3 | Create your data strategy roadmap |
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| 4.4 | Build the case for your data practice strategy |
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