5.9 Management Information systems (HL) Flashcards
an information system (IS)
refers to computerized tools and systems that gather, organize, analyse, and manage data to help businesses with decision-making. It’s an “umbrella” term covering all forms of digital information systems used to handle and analyse data, aiming to improve managerial decision-making processes.
example case of an information system (IS)
For example, a business might hold data from its customers and record them in “files” that need to be protected (username and password) in order to protect customers personal details. This is a simple way of IS.
However, nowadays we have more sophisticated software to gather data mainly used by large companies, especially with the growth of e-commerce. These processes help companies with data mining and data analytics.
data mining
this refers to the process of finding trend, patterns and correlations with large data bases. This data is used for predictive analysis and forecasting purposes.
origins of the term data mining
originates from the mining industry, where precious materials are extracted from digging earth and rock. Similarly, in relation to information technology, data mining involves sorting out extensive datasets to obtain valuable information.
process of data mining
The process of data mining always starts with a “hypothesis” that needs to be tested. For example, the marketing team might present an idea that customers buy more of a product in a specific time compared to a different one. To prove this, the marketing team can use data mining.
data analytics
shares many characteristics with data mining such as finding trends, patterns and correlations. However, Data analyticsis the management process of examining and scrutinising raw data to find meaningful trends and patterns to support decision making and business planning. Basically, analysing the data!
three ways in which data analytics can be used
Descriptive analytics - using data from past performance
Predictive analytics – helps forecasting the future
Prescriptive analytics – using both Descriptive analytics and Predictive analytics, it is used to determine (prescribe) an optimal course of action in the future.
how can data mining and data analytics be used
a retail chain uses data mining and analytics to optimize operations and enhance customer experience
customer segmentation in relation to a retail chain
Using data mining techniques, the retail chain can segment its customer base based on various attributes such as purchasing behaviour, demographics, and geographic location.
price optimisation in relation to a retail chain
Data analytics can help the retail chain optimize pricing strategies to maximize profitability. By analysing competitor pricing, demand elasticity, and customer willingness to pay, the company can dynamically adjust prices for products to maximize revenue while remaining competitive in the market
personalised recommendations in relation to a retail chain
Through data mining algorithms, the retail chain can analyse customer purchase history and browsing behaviour to generate personalized product recommendations. Therefore, the customers are more like to keep buying for the retail chain.
managing/monitoring employees in relation to
what is ecommerce
thetrade of goods and services using the internet.
benefits of E-commerce for a business
- Firms can sell their products 24 hours a day anywhere in the world.Hence, reach a wider market.
- Firms canrespond to competitors faster, such as changing the price.
- Less packagingto reduce waste and production costs.
- The firm saves on overheadssuch as rent, storage, insurance payment and staffing costs of physical stores. This in turn reduces the price of the product for consumers. The firms also save onoperating costs.
- It is a better cost-effective method of advertisings a product, compared to TV for example.
costs of E-commerce for a business
- There can behigh set-up costsfor professional websites and marketing, as well aspayment systems.
- There arefinance chargesfor using the services of credit card companies, which will increase the costs for the business.
- There is risk offraudulent trade, which can cause losses for the customer, business or financial institutions
- Firms may be exposed to competitors who take advantage of the products details available online
- Running costs may be high for postage and packaging.