3.3 - Categories of information used by organisations Flashcards
list the categories of information used by organisations
- financial analysis and modelling
- MIS management info system
- Marketing
- Knowledge management and creation
- Contact management
- Decision making
- Internal and external communication
- Big data
Financial analysis and modelling -
whats it used for + example
used for: looking for patterns with the information they have which can be used to make predictions for the future
- Modelling (analysing/predicting future behaviour)
Example:
Analysing sales figures to look for trends and to evaluate the progress of different products.
The data that is collected for the relevant projects - this will formulate a statistical model which then allows predictions
MIS
management information system
A system that collects, analyses, stores and presents data.
It has several business functions are integrated in one place.
Example:
it can be used as a central system all employees can log into.
such as Cedar
Marketing
how the organisation advertises, promotes, and sells its goods and services.
E.g:
social media marketing campaign
Knowledge management and creation
Systems that organise information across an organisation - it allows new information to be collected.
Example:
Database - systems to hold customer data
Contact management
The systems to hold and retrieve contact details.
E.g -
A sorting facility may be used to retrieve the details for next day’s appointment.
Decision making
This is what the organisation chooses to do based on the information they have.
Example:
Boardroom, meetings discussing the latest modelling
Internal and external communication
The methods used to send messages to staff (internal) and other stakeholders (external).
Internal - financial, personnel, human resources, marketing, purchasing sales, manufacturing
Big data
Data which is so large and complicated that TRADITIONAL DATA processing (like databases and spreadsheets) cannot deal with them.
Example: Sales data under a popular loyalty scheme such as tesco clubcard.
Positives:
More detailed patterns/trends provided
Negatives:
Harder and takes longer to analyse.
Examples of big data
transaction processing systems, customer databases, documents, emails, medical records, internet clickstream logs, mobile apps and social networks.