Page 64 - Microsoft Word - 00 CIMA F1 Prelims STUDENT 2018.docx

Chapter 5

Data warehousing and data mining

4.1 Data warehousing (as opposed to local databases)

Advantages Disadvantages

 Lower volumes of data held  New hardware and software
required
 Lower storage costs
 Training for staff
 Easy to amend data
 Existing data will need to be
 User confidence in up-to-date data analysed and cleansed

 Data management improved  Individual requirements may not
be met by central system
 Controls over data are improved
 Database failure is critical
 Consistency is achieved
 Response times may be slower

4.2 Data mining

Data mining is the process of analysing data from different perspectives and
summarising it into useful information.

Illustrations and further practice

Now try TYU 3, 4 and 5 from Chapter 5

54