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Mobile Technology, Data Mining and Cloud Computing

Gathering and storing data for mining

  • 3 things to know
  • A2 Unit 1

Overview

Five sources from which an organisation gathers data for mining, clickstream data and data warehouse.

What you need to know

Answer each one before you reveal it.

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Process

Describe the extract, transform and load process.

Key term

Distinguish structured from unstructured data.

Key term

Name five sources from which an organisation gathers data for mining.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    Name five sources from which an organisation gathers data for mining.

    Model answer

    Organisations gather data from till and online transactions, loyalty schemes, website clickstreams, customer service records and sensor or device readings.

  2. 2

    What does a loyalty scheme add to the data a retailer holds?

    Model answer

    A loyalty scheme links every purchase to one identified customer, so a retailer can analyse an individual's buying history over several years instead of a series of unconnected baskets.

  3. 3

    What is clickstream data, and what does it reveal?

    Model answer

    Clickstream data records every page a visitor viewed, the order they viewed them in and how long they stayed, which shows where customers hesitate and at what point they abandon a purchase.

  4. 4

    Why is mining not run directly against an organisation's transaction processing system?

    Model answer

    A transaction processing system is designed for fast individual updates and is needed continuously for trading, so running heavy analytical queries against it would slow the operational service.

  5. 5

    What is a data warehouse?

    Model answer

    A data warehouse is a large separate store holding data copied from many operational systems, organised for analysis and keeping years of history rather than only current records.

  6. 6

    Describe the extract, transform and load process.

    Model answer

    Extract, transform and load pulls data out of the source systems, converts it into a single consistent format with common codes and units, and loads it into the warehouse on a regular schedule.

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