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Volledige samenvatting beleidsinformatiesystemen TEW 2025 (engels)

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volledige engelstalige samenvatting beleidsinformatiesystemen TEW 2025 hoofdstuk 1 tot 6 vak gegeven door professor Baesens en professor Poelmans (ter vervanging van professor Snoeck)

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HOOFDSTUK 1: BUSINESS INFORMATION SYSTEMS, STRATEGY AND GOVERNANCE



DEEL 1: WHAT IS A BUSINESS INFORMATION SYSTEM (BIS)



MOTIVATION

Companies under pressure: digital disruption

- Digital disruptors offer new opportunities to create added value

Business – IT alignment

- IT must join business: how to phase in new technologies?
- IT-people – marketing people: communication gap
- IT and business should closely interact
- Digital business strategy = fusion between IT and business strategy

Examples of how IT interrupts business models but also creates opportunities

- Analytics
o Amazon: recommendations based on your profile created by analytics
o Netflix: recommendations
- Internet of things
o Telematics: black box in your car monitors your driving behavior; allows insurer
provider to calculate your riskiness → insurance price
o Moocall: sensors monitor when cow is about to give birth
o Smart irrigation
- Drones
o Insurance: drones take pictures of sites after a disaster; compare the pictures
with the incoming insurance claims to prevent fraud
o Forest maintenance: detect which trees are about to die etc
o Package delivery
o Detection of poaching (Air Shepherd)
- Self driving cars: impacts the taxi industry
- Deepfake: AI can learn your voice, manners etc and create a model that can make ‘you’
say anything

Need for business leaders with great IT capabilities + everyone should be involved with IT



BUSINESS INFORMATION SYSTEMS

Data

- Raw observed facts or events

Information

- Processed data
- Takes place in a specific context: you add an interpretation to the data

,Knowledge

- Ability to perform certain tasks by combining data with own information and expertise

Metadata

- Data about data
- Extensible markup language (XML)
o Tag based language to describe metadata
o User can define their own tags
o XML: focusses on the content of the data
o HTML: focusses on the presentation of the data ( =/= metadata)
- Makes data more comprehensible to humans and computers
o Allows to ask specific questions about your data
o Allows to share information between companies easily



System

- Set of elements related to each other (and possibly to the external environment) and
joined for a specific purpose
- Elements
o Physical objects, energetic units etc
- Relations
o Time and distance, physical relations, cause/effect relations etc
- Purposes
o Delivery of services, production of finished goods etc
- Traffic system example
o Elements: road, vehicles, pedestrians etc
o Relations: distances between cities, allowed speed in certain areas etc
o Purposes: optimizing traffic flow, maximizing safety etc
- Description = looking at a system in a certain way
o Depends on who is looking and what their purpose is
o Examples
▪ Police officer monitors safety
▪ Taxi driver finds pick up hot spots
▪ Car driver drives from Leuven to Paris
- A system operates in an environment = universe of discourse

,Business information system

- Set of related components
- To collect, search, process, store and distribute information
- In order to support the coordination and control of the decision making process within
an organization

Business IT alignment

- Use BIS to realize business objectives
- Integrate existing and emerging IT into strategy, mission and goals of the company



BUSINESS INFORMATION SYSTEM TYPES

Strategic level

- Serves senior managers (group level)
- Long term decisions > 5 years
- Based on unstructured information
- Ex: mergers and acquisitions

Tactical (management) level

- Serves middle managers (project level)
- Mid long term decisions
- Ex: developing new products, adding features to existing products etc

Operational level

- Serves operational managers
- Daily operations and decisions
- Based on structured information
- Ex: storing information about what customers have bought



Sales and marketing

- Order processing
- Pricing
- Forecasts

Production and logistics

- Process control
- Planning
- Opening new production units

Finance and accountancy

- Registration of financial transactions
- Short term budgeting

, - Long term planning

Human resources

- Registration recruitments and dismissals
- Distribution of pay scales
- Planning personnel needs



Operational information systems

- Processes: structured, unambiguous, routinely
- Decisions: short term, frequent, little uncertainty
- Users: clerks (bediende), cashiers, sales assistants
- Information: easy to determine, independent of the individual, structured, from within
the organization
- Examples of IT systems that support operational activities
o OLTP: online transaction processing systems
▪ Payroll system
▪ Point of sale system (supermarket)
▪ Order entry system (deliveries)
▪ Financial transaction system (payments)
o ERP: enterprise resource planning
▪ Organization-wide coordination and integration of business processes
▪ Of-the-shelf modules based on best practices
▪ Plain vanilla: heavily standardized
▪ Or customized to specific business
▪ Vendors: SAP, Oracle/PeopleSoft, Odoo (open ERP)
▪ System: centralized database where various information feeds in and is
then extracted for different purposes

Tactical information systems

- Processes: less routinely
- Decisions: mid term, less often, more uncertainty
- Users: middle management
- Information: operational level + data warehouse, less easy to determine, dependent of
the individual and moment, less structured, need for external information increases
- Examples of IT systems that support tactical activities
o MIS: management information systems
▪ Input: transaction records, data warehouse
▪ Processing: routine reporting, low-level analysis
▪ Output: summary, exception reports
▪ Users: middle managers
▪ System: information → transaction processing systems → management
processing systems → managers: make mid-term decisions
o DSS: decision support systems
▪ Input: data – low volume and data warehouses, analytical models, data
analysis tools
▪ Processing: interactive, simulation

Escuela, estudio y materia

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Subido en
25 de junio de 2025
Número de páginas
98
Escrito en
2024/2025
Tipo
RESUMEN

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