Chapter 8 - Data to create and preserve value Flashcards
What data and feedback does sales need?
- Feedback on price, volume and customer feedback
- Live data on competitor pricing and trends
What data and feedback does production need?
- Feedback on order levels and lead times
- Data to understand cost and cost drivers
What data and feedback does HR need?
- Feedback on staff performance
- Data to incorporate appraisal and productivity
What data and feedback does shareholders need?
- Feedback on future prospects
- Data about environmental needs
What data and feedback does employees need?
- Feedback about systems and processes
- Flag data inefficiencies
What data and feedback does directors need?
- Feedback on clarity of info
- Data on key metrics
What are the 3 stages of transferring data (ETL)?
- Extraction
- Transformation
- Loading
What is data profiling?
Prior to extraction, data needs to be analysed to understand content
What is a data warehouse?
Store for data loaded in the ETL process
What is the BI function?
Access and analyse data further and offers summaries
What are the main trends of modern ETL?
- Unprecedented rate of growth
- New types and sources
- New tech
What are the advantages of data modelling?
- Foundation for handling data
- Enforces business rules
- Consistency of naming values and conventions
- Quality of data enhanced
What are the 3 levels of the data modelling process?
- Conceptual
- Logical
- Physical
What happens in the conceptual level?
- Business orientated and practical
- Considers data and requirements
What happens in the logical level?
- Begins to develop a technical map of rules and data structures
- Defines how data will be held and used