5.9 MANAGEMENT INFORMATION SYSTEMS Flashcards
Data Base
A collection of data that is organized to be easily accessed, managed, explored and updated.
Data Mining
It is the process of finding trends, patterns, and correlations within large datasets. Companies can then use those findings to predict future situations, and thus increase revenue, improve customer relations, cut costs, and reduce risks.
Data Analytics
Similar to data mining. It is the process of inspecting and modelling data in order to discover useful information. It doesn’t look for patters, but simply reach conclusions based on the analysis of the raw data collected.
Data Analytics can be used in three ways:
- Descriptive Analytics: About Past Performance
- Predictive Analytics: About forecasting the future. Data as a decision making tool that can help for instance with workforce planning.
- Prescriptive Analytics: Third phase of business analytics. Uses both historical and external data. Explores what may happen in the future.
Data analytics and data mining can be used for:
They help make informed decisions such as:
- Market Research (To collect data from potential customers)
- Promotional purposes (Targeting certain groups using a selection of criteria)
- For credit risk management
- For customer loyalty programmes (By supermarkets). With loyalty cards the business can track who buys what, when, where and at what price. Can help idenitfy buying habits of customers to send vouchers, coupons etc.
- Help determine when to put items on sale.
The use of data to manage and monitor employees
Can help make decisions about marketing, operations and human resources.
- The manager of a team working from home can see when staff log into the company’s computer system, track what they do and when.
- Help spot workers that underperforms or needs training.
- Can also keep track of all workplace communications.
Digital Taylorism
Definition: Digital Taylorism applies the principles of Taylorism to the digital era, utilizing technology to further optimize worker productivity and process efficiency.
Practices: It involves automating decision-making processes, standardizing complex tasks through software, and using algorithms to manage human workers efficiently.
Impact: This approach can enhance precision and consistency in operations and often incorporates real-time data analytics to improve decision-making. However, it might lead to surveillance concerns and reduce job satisfaction by minimizing creative and individualistic aspects of work.
E-commerce
The buying and selling of good and services through electronic networks, commonly via the internet.
Advantages + Disadvantage of e-commerce for businesses selling online
- Can reach a wide target market, resulting in an increased customer base
- No need for expensive physical spaqces such as shops in city centers. Instead just warehouses.
- Possible to advertise foods and services in many ways.
- More competitors
Advantages + Disadvantage of e-commerce for customers purchasing online
- Can shop from home 24/ without having to visit a physical shop. Beneficial for people who are very busy or live in rural areas.
- Can compare the various products on offer before deciding to make a purchase, and they have more choice.
- Cannot try or feel products
Cybercrime and Cybersecurity
- Consumers may fear that internet security related to the payment process is not string eoguh, reducing the number of sales.
- Companies invest i. cybersecurity to avoid fraud and ID theft
Cybercrime
An international, malicious attack on an organization of an individual by targeting their computer systems and accessing their data, including confidential data such as banking details.
Cybersecurity
The practice of defending computers and IT systems against amlicious attacks.
Critical Infrastructures
The systems, networks and assets that are essential for operations - in this case information systems. They are:
- Artificial Neural Networks
- Data Centres
- Cloud Computing
Artificial Neural Networks
Elements of computing systems designed to simulate how the human brain operates, by processing and analyzing information. They help solve problems that are too complicated for humans. ANN can learn from the data they recieve and the operations they do.
ANN are everywhere in a business context:
- E- commerce platforms use it to personalize recommendations based on previous browsing., crossferencing millions of other transactions by other people.
- Email service uses it to detect spam
- Chatbots that simulate how a human would naturally behave in a conversation.