Podcast
Questions and Answers
What percentage of data warehouse projects are considered failures according to industry experts?
What percentage of data warehouse projects are considered failures according to industry experts?
- Less than 25%
- Around 40%
- Exactly 50%
- More than 50% (correct)
What is a common reason for failures in data warehouse projects?
What is a common reason for failures in data warehouse projects?
- Overemphasis on data security
- Lack of technical expertise
- Excessive data storage costs
- Improper planning and inadequate project management (correct)
What is the consequence of improperly sized and architected data warehouse projects?
What is the consequence of improperly sized and architected data warehouse projects?
- The data warehouse turns out to be a data basement (correct)
- Enhanced data visualization
- Improved data governance
- Increased data accessibility
What is the first step recommended in planning a data warehouse?
What is the first step recommended in planning a data warehouse?
What should a company establish in order to assess the value expected from the data warehouse?
What should a company establish in order to assess the value expected from the data warehouse?
What is a common consequence of improperly sized and architected data warehouse projects?
What is a common consequence of improperly sized and architected data warehouse projects?
What is the first step recommended in planning a data warehouse?
What is the first step recommended in planning a data warehouse?
What percentage of DW projects are considered failures according to industry experts?
What percentage of DW projects are considered failures according to industry experts?
What should a company develop criteria for in order to assess the value expected from the data warehouse?
What should a company develop criteria for in order to assess the value expected from the data warehouse?
What is a consequence of improper planning and inadequate project management in data warehouse projects?
What is a consequence of improper planning and inadequate project management in data warehouse projects?
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Study Notes
Data Warehouse Projects
- 70% of data warehouse projects are considered failures according to industry experts.
Reasons for Failure
- Improperly sized and architected data warehouse projects lead to failures.
- A common reason for failures in data warehouse projects is improper planning and inadequate project management.
Consequences of Failure
- The consequence of improperly sized and architected data warehouse projects is wasted resources and budget.
Planning a Data Warehouse
- The first step recommended in planning a data warehouse is to establish clear business objectives and metrics.
Assessing Value
- Companies should establish clear business objectives and metrics in order to assess the value expected from the data warehouse.
- They should develop criteria to assess the value expected from the data warehouse.
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