Chapter 1 Flashcards
DATA + PROCESSING =
INFORMATION
ACCURATE
Accurate Complete Cost effective Understandable Relevant Accessible Timely Easy to use
Internal data
From within the organisation itself
External data
From outside the organisation
Primary data
Data which is used solely for the purpose it was collected
Secondary data
Data that is taken from some other source
Random sampling
A proportion of the population is picked at random. Cheap but may not be representative
Systematic sampling
A proportion of data is collected based on fixed interval values. Eg every 10 values.
Stratified sampling
Population may be split down into different sections before being sampled (eg gender) Samples are then taken from each section based on how much of the population lies within that section.
Multistage sampling
Population may be split down into different sections being sampled (e.g towns) samples are then taken from each section on a random basis.
Cluster sampling
This is similar to multistage sampling only samples are selected in clusters rather than randomly
Quota sampling
Quota sampling has a number of different data sets the must be collected as an objective. This could include a certain number of males in a certain age rage and females in a different age range.
This type of sampling tends to be very biased.
3V’s of big data
Volume - size
Variety - type
Velocity - speed
Big data can assist performance by
Gain insights which can then be used to improve marketing and sales
Forecasting better so that more appropriate decisions can be made
Automating of high-level business processes for efficiency
Providing more details and up to date performance measurement
Planning
Establishing objectives