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13 Cards in this Set
- Front
- Back
What are the levels of abstraction for data
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-Information
-Knowledge -Intelligence |
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What are some problems with decisions based on data by humans
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- Intuition is prone to errors
- Illusion of memory - Illusion of knowledge |
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What technologies are associated with business intelligence?
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o Data management
o Reporting – report generation o Intelligence – automatic generation of insights |
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What are challenges of Business Intelligence
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- Does not form a closed loop in it's generation of insights
A. Lack of timeliness B. Lack of actionable process |
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What is the difference between BA and BI
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BA provides system generated intelligence based on automated data analysis (i.e. closes the loop)
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What are the foundation levels of business intelligence
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- Standard Reports
- Ad hoc reports - Query drill down - Alerts |
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What are the core BA levels of analytics
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Statistical analysis
Forecasting Predictive modeling Optimization |
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What are the two approaches to BA solution design? What is the best practice?
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- top-down – based on user requirements
- bottom-up – based on source system structures - best practice: do both. start with top-down and source bottom-up |
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What are two computational issues during implementation of BA
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- High performance analytics (HPA)
Speeding up the modeling stage Associated with Big Data (data existing beyond databases) - Real time Ability to score data in a near instantaneous manner |
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What is the focus of data mining?
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Automatically recognizing complex patterns from data
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What is the process and challenge of data mining
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- Learning from a finite set of sample data
- Generalizing/producing useful output on new cases |
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What are the two major types of learning approaches for data mining?
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- Supervised learning
- Unsupervised learning |
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That are the 3 types of supervised learning in data mining?
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o training data : to train the algorithm (model)
o validation data : to validate the model after being trained o test data : used to evaluate final model's performance |