L9 Flashcards
BD Analytics
use of advanced analytics techniques to examine BD to uncover information, such as hidden patterns, correlations, market trends and customer preferences, can help organizations make informed business decisions
Advantages BD Analytics
- improved customer acquisition and retention
- fraud prevention and cybersecurity
- forecasting and price optimization
- personalization and recommendations
- preventive maintenance and support
- supply chain and channel analytics
- risk management
- improved decision making
- cost reduction and operation efficiency
- product development
Challenges BD Analytics
volume, variety, velocity lead to challenges
- accessibility
- quality
- security
- storage
- choice of right tools
- lack of expertise
Types of BD Analytics
Descriptive: describe, summarize, visualize
Diagnostic: understand what and why smth happens
Predictive: make predictions
Prescriptive: simulation and optimization to understand possible consequences of action -> suggesting optimal choice
Tableau
- helps people see and understand data
- can connect to big data sources
- VizQL (visual query language) allows user to use drag-and-drop actions and converts into queries for computer
4 Tableau Versions
Tableau Desktop: personal-local files only, for professional more
Tableau Server: shared across organization
Tableau Online: store and acess via cloud
Tableau Public: results viewed by anyone but not downloaded
Types of Files and Data in Tableau
Files: exc, txt, access, JSON, pdf, spatial, statistical
Datatypes: string, int, date, date and time, bool, geographic, cluster or mixed
Dimension and Measures in Tableau
Dimensions: attributes with discrete categorical information (bool or string)
Measures: attributes with quantitative or numerical info
4 Steps of using Tableau
- understanding data
- connecting data
- analyzing data
- sharing data
