Build Your Data Practice and Platform
Construct a scalable data foundation
Onsite Workshop
IT faces these common obstacles:
- The complex nature of data investment leads to de-scoping and delivery of data services that do not meet business needs/give value to the business.
- Formalization of the practice just for the sake of formalizing results in an initiative that is lengthy, costly, fizzles out, does not deliver business value, and ends up being considered a failure.
- Non-data centric thought leadership leads to downstream issues: integration, quality, accessibility.
Improve your business's data architecture
- Walking through a book of architecture building plans with a personal guide is cheaper and faster than employing an architect to build and design your home.
Module 1: Establish Business Context and Value
The Purpose
Establish business context and value.
Key Benefits Achieved
Business context and strategic driver.
Activities: | Outputs: | |
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1.1 | Understand/confirm the organization's strategic goals |
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1.2 | Classify the strategic goals and map to business drivers |
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1.3 | Identify the business capabilities that the strategy focuses on |
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1.4 | Identify the business processes realizing the strategy |
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Module 2: Identify Your Top Initiatives
The Purpose
Identify your top initiatives.
Key Benefits Achieved
High-value business-aligned data initiative.
Activities: | Outputs: | |
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2.1 | Highlight data-related outcomes/goals to realize to fulfill the business goal |
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2.2 | Map business data initiatives to the business strategic goals |
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2.3 | Prioritize data initiatives |
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Module 3: Analyze Data Challenges
The Purpose
Analyze data challenges.
Key Benefits Achieved
Clear understanding of the data challenges.
Activities: | Outputs: | |
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3.1 | Map data challenges to Info-Tech data challenges |
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3.2 | Review Info-Tech data capabilities based on prioritized initiatives |
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3.3 | Discuss data platform and practice next steps |
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Module 4: Map Data Capability
The Purpose
Map data capability.
Key Benefits Achieved
Prioritized data capability.
Activities: | Outputs: | |
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4.1 | Map data challenges to Info-Tech data challenges |
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4.2 | Review Info-Tech data capabilities based on prioritized initiatives |
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4.3 | Discuss data platform and practice next steps |
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