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Consensus Building | Defining | Can you provide a short description of the consensus in the organization? Would you describe it as Above Average, Average, Below Average, or Poor? Is consensus on critical data deemed important? Who drives consensus-building in the organization?
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 | Process | How would you describe the consensus process in the organization? Is it driven top-down or bottom-up? Advantages & Disadvantages of the approach? How has the consensus process been embraced by the organization? If not, why? How are disagreements resolved? What is the approval process for consensus discussions?
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 | Timeframe | Is enterprise consensus on critical aspects of the business important? Where and when is it deem unimportant? In what areas does the organization deem data consensus is important? Who is driving data consensus in the organization?
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Glossary of Terms | Existence | Does a glossary of terms exist for critical business data? Does each application system generate its glossary? Do data marts and data warehouses provide a glossary? If they don’t exist, have they been discussed? Would it be difficult to create a glossary for the pricing team? Finance? Why would it be difficult? Where is the glossary stored? How is accessibility managed?
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 | Ownership | Who owns these data glossaries? Multiple owners? Who maintains them? Updated regularly? How is their ownership established? Is it recognized by others?
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 | Procedures | What are the steps in their creation? How many people are involved? Departments? What does the approval process look like? How many steps? How are any disagreements resolved?
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Competing Structures | Existence | Do multiple systems have redundant (modifiable) data for critical business data? Do multiple systems have replicated (unmodifiable) data for critical business data? How do we know that redundant or replicated data exists? Does a cross-reference model exist detailing them? Does replicated and redundant data exist for critical pricing data?
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 | Ownership | Who owns these systems containing replicated or redundant data? Are they aware of their similarities in data? Differences? How did dual ownership of this data occur? Has dual ownership of data caused problems in the past? Has dual ownership of redundant and replicated data caused problems in the past?
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 | Procedures | How is the replicated or redundant data validated? Does a process exist for merging them? Is there a process or plan to eradicate replicated or redundant data? What is the risk assessment of this type of data? Who performs this assessment?
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Golden Records | Existence | Is there a single repository where critical business data can be found? Does this repository consolidate data from multiple systems? Does it provide a complete picture of the organization’s data? Partial? If partial, then which critical business data is represented? Which isn’t? Are customer, product, and pricing included in this?
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 | Ownership | Who owns this repository? Is it singular ownership or a board of consensus? Who is responsible for maintaining it? Who is responsible for validation and cleansing? Who provides access to it to the organization?
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 | Procedures | How is the repository updated? Who manages the updates? What data quality control is in place? How is the quality validated? Who does this? Is the data transformed before being loaded? Who does this? What types of transformations are performed?
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