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SBL1400 Weeks 1-4

Charlotte Marko Introduction to Business Analytics - English 19 cards

Cards in this deck (19)

  1. 1What are the 4 steps in analyticsData
    Information
    Insight
    Decision
  2. 2What are the 4 aspects used to measure big dataVolume
    Variety
    Velocity
    Veracity
  3. 3What are the 3 categories of business analytics? Give an example of eachDescriptive - helps you understand the state of things (What's going on) - Business Intelligence
    Predictive - helps forecast future performance (what is going to happen?) -Data mining, Forecasting
    Prescriptive - Suggests a prescribed next step (what should we do?) - Mathematical Programming, Optimisation
  4. 4Steps in the business decision processProblem definition
    Analysis plan
    Data collection
    Analytics
    Reporting
    Reccomendations
  5. 5Examples of managerial problems-sales are down
    -decreased market share
    -customer service needs attention
    -distributors orders are down
  6. 6Enablers and outcomes of descriptive analytics-Ad hoc reports, dashboards, data warehousing, alerts
    -Well defined business problems and opportunities
  7. 7Enablers and outcomes of predictive analytics-data mining, text mining, web/media mining, forecasting
    -accurate projections of the future states and conditions
  8. 8Enablers and outcomes of prescriptive analytics-optimisation, simulation, decision modelling, randomised testing
    -best possible business decisions and transactions
  9. 9How can data be categorised?-qualitative or quantitative
    -internal or external
    -structured or unstructured
    -new forms of data
  10. 10Quantitative data vs Qualitative dataQuantitative is using actual numbers - hard data
    Qualitative is usually looking at intangibles. Far more subjective and is used to understand why people behave in a certain way.
  11. 11What is structured data? Give examplesInformation, usually text files, displayed in titled columns and rows which can easily be ordered and processed by data mining tools.
    -pos data, financial data, customer data
  12. 12What is unstructured data? Give examplesThe data that can't easily be slotted into columns, rows or fields.
    -photos and graphics
    -websites
    -videos
    -audio
    -text files or documents (email, pdf, blogs, social media posts etc.)
    -powerpoint
  13. 13Examples of internal data-sales
    -marketing
    -finance
    -HR
  14. 14Examples of external data-weather
    -government data
    -twitter
    -social media
    -google maps
  15. 15examples of new forms of data-our activities
    -conversations
    -sensors
    -photos and videos
    -the internet of things (IoT)
  16. 16Key formats of data- Text (including numbers)
    -Sound (audio and music)
    -image (photographs and graphics)
    -video (combination of audio and visual)
    -Sensor data
  17. 17Common types of analytics-text analytics
    -speech analytics
    -video/image analytics
    -combined analytics
  18. 18Types of text analytics-text categorisation
    -text clustering
    -concept extraction
    -sentiment analysis
    -document summarisation
  19. 19Types of video/image analytics-face recognition
    -behaviour analytics
    -situation awareness

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- Introduction to Business Analytics (SBL1400 Exam Prep) Flashcards on SBL1400 Weeks 1-4, created by Charlotte Marko on 31/03/2018.
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