Podcast
Questions and Answers
What is the primary focus of Business Intelligence (BI)?
What is the primary focus of Business Intelligence (BI)?
- Utilizing advanced analytical techniques with big data
- Combining analytical and machine learning techniques
- Creating new problems for companies to solve
- Measuring past performance and informing business planning (correct)
Where are Measures and Key Performance Indicators (KPIs) commonly defined to enable BI reporting?
Where are Measures and Key Performance Indicators (KPIs) commonly defined to enable BI reporting?
- Predictive Analytics framework
- Data Mining schema
- OLAP schema (correct)
- Machine Learning model
Which technique refers to the combination used for drawing inferences and insights out of data?
Which technique refers to the combination used for drawing inferences and insights out of data?
- Cross-selling techniques
- Advanced analytical techniques
- Regulatory requirements
- Predictive Analytics & Data Mining (correct)
What does the text suggest about predicting customer churn rates?
What does the text suggest about predicting customer churn rates?
Why do analysts need to partner with IT and DBAs for the loan process?
Why do analysts need to partner with IT and DBAs for the loan process?
What is required for successful predictive analytics projects according to the text?
What is required for successful predictive analytics projects according to the text?
What is one benefit of in-database processing for deep analytics?
What is one benefit of in-database processing for deep analytics?
What type of data can analytic sandboxes house, according to the text?
What type of data can analytic sandboxes house, according to the text?
How can organizations create a competitive advantage using advanced analytics?
How can organizations create a competitive advantage using advanced analytics?
In the context of business problems, what do organizations have an opportunity to leverage?
In the context of business problems, what do organizations have an opportunity to leverage?
Big data can only come in structured form, such as financial data and text files.
Big data can only come in structured form, such as financial data and text files.
Most of the big data is unstructured or semi-structured in nature.
Most of the big data is unstructured or semi-structured in nature.
Parallel computing environments are not preferred for processing big data.
Parallel computing environments are not preferred for processing big data.
Non-structured data types like semi and unstructured data are not expected to contribute to future data growth.
Non-structured data types like semi and unstructured data are not expected to contribute to future data growth.
In a classic RDBMS storing call logs for a software support center, all data is typically structured.
In a classic RDBMS storing call logs for a software support center, all data is typically structured.
