Business Intelligence at Cologne Business School | Flashcards & Summaries

Lernmaterialien für Business Intelligence an der Cologne Business School

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What is machine learning ? 
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- a subfield of AI 
- the programming of a computer to behave in a way which is similar to How humans learn 
- the System is constantly learning from experience by continuously adding data
- the process of learning can be described as applying -> testing -> testing -> evaluating -> improving -> repeat (also called trial and error system) 
- there are three types of supervised learning 
1. supervised learning 
2. semi-supervised learning 
3. unsupervised learning 
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What is the Narrow understanding of BI? 
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- Bi focuses on analysis orientated products and applications which allow preparation and presentation of data
- techniques used are slicing and dicing or color coding 
- tools used are client solutions, briefing books, MS excel add-ins, or browser extensions 
- excluded are all front-end products
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How is the performance of a database system measured ? 
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Performance is measured by :
1. The throughput 
2. response time 
3. availability 
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What are database systems characterized by ? 
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Characterized by a high degree of flexibility 
1. applications flexibility 
2. system flexibility 

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What is a relational database ? 
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- it is a type of database system
- it uses a structure that allows to identify and access data in a relation to another piece of data in a database - organized into tables 
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What is the E-R Model ? 
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- it is one kind of relational database 
- the entity-relationship model is used for analysis, in order to create diagrams 
- entity means „a recognizable object“ (e.g. when exporting fruits to another country, fruit and destination can be considered entities 
- relationship is concerned with how these entities are related to each other 
- the concept of cardinalities describes the number of associations between entities
1. one-to-one relationship 
2. on-to-many or many-to-one relationship 
3. many-to-many relationship 
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What are the two views in knowledge management ? 
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1. technology-orientated view:  it represents the concept of supporting humans in handling knowledge via knowledge management technologies 
2. human-orientated view : outs the individual as well as the organization as knowledge carrier into the focus 
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What are the application areas and benefits of a Data Warehouse ? 
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- the data can be used whenever planning or analysis orientated tasks have to be solved 
- applications in the field of information supply for specialists and managers as well as a data basis for sophisticated statistical evaluations (market forecasts/ investment decisions) 
- since all data that is added is being checked precisely it also serves as an Organisation-wide basis of trust 
- the response time of a DW is excellent, and allows for large amounts of data to be analyzed 
- users come from all hierarchical levels 
- a DW is mostly used for sales, purchasing, marketing, customers, suppliers , product analysis, cost analysis, 
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TESTE DEIN WISSEN
Definition of BI ? 
What are the views on BI?
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TESTE DEIN WISSEN
The strategies and technologies used by enterprises for the data analysis of business 

different views:
1. Narrow understanding 
2. broad understanding 
3. analysis-orientated understanding 
4. Process-oriented understanding  
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TESTE DEIN WISSEN
What is AI and machine learning ? 
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TESTE DEIN WISSEN
- it is a field of study in computer science and is resembling human decision-making in developed applications 
- machine learning is a sub-discipline of AI 
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What are data retrieval methods ?
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- clustering methods, visualization techniques, decision tree methods, data mining 
- in order to successfully carry out the above mentioned methods, you have to previously define the objective of the data analysis, and the form of presentation 
- to get a fist glance of the data set it is beneficial to use visualization techniques 

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Data retrieval methods- What is the clustering method ? 
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- the aim is to divide the data stock into different parts that fit together and exclude unnecessary data from the data stock 
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Q:
What is machine learning ? 
A:
- a subfield of AI 
- the programming of a computer to behave in a way which is similar to How humans learn 
- the System is constantly learning from experience by continuously adding data
- the process of learning can be described as applying -> testing -> testing -> evaluating -> improving -> repeat (also called trial and error system) 
- there are three types of supervised learning 
1. supervised learning 
2. semi-supervised learning 
3. unsupervised learning 
Q:
What is the Narrow understanding of BI? 
A:
- Bi focuses on analysis orientated products and applications which allow preparation and presentation of data
- techniques used are slicing and dicing or color coding 
- tools used are client solutions, briefing books, MS excel add-ins, or browser extensions 
- excluded are all front-end products
Q:
How is the performance of a database system measured ? 
A:
Performance is measured by :
1. The throughput 
2. response time 
3. availability 
Q:
What are database systems characterized by ? 
A:
Characterized by a high degree of flexibility 
1. applications flexibility 
2. system flexibility 

Q:
What is a relational database ? 
A:
- it is a type of database system
- it uses a structure that allows to identify and access data in a relation to another piece of data in a database - organized into tables 
Mehr Karteikarten anzeigen
Q:
What is the E-R Model ? 
A:
- it is one kind of relational database 
- the entity-relationship model is used for analysis, in order to create diagrams 
- entity means „a recognizable object“ (e.g. when exporting fruits to another country, fruit and destination can be considered entities 
- relationship is concerned with how these entities are related to each other 
- the concept of cardinalities describes the number of associations between entities
1. one-to-one relationship 
2. on-to-many or many-to-one relationship 
3. many-to-many relationship 
Q:
What are the two views in knowledge management ? 
A:
1. technology-orientated view:  it represents the concept of supporting humans in handling knowledge via knowledge management technologies 
2. human-orientated view : outs the individual as well as the organization as knowledge carrier into the focus 
Q:
What are the application areas and benefits of a Data Warehouse ? 
A:
- the data can be used whenever planning or analysis orientated tasks have to be solved 
- applications in the field of information supply for specialists and managers as well as a data basis for sophisticated statistical evaluations (market forecasts/ investment decisions) 
- since all data that is added is being checked precisely it also serves as an Organisation-wide basis of trust 
- the response time of a DW is excellent, and allows for large amounts of data to be analyzed 
- users come from all hierarchical levels 
- a DW is mostly used for sales, purchasing, marketing, customers, suppliers , product analysis, cost analysis, 
Q:
Definition of BI ? 
What are the views on BI?
A:
The strategies and technologies used by enterprises for the data analysis of business 

different views:
1. Narrow understanding 
2. broad understanding 
3. analysis-orientated understanding 
4. Process-oriented understanding  
Q:
What is AI and machine learning ? 
A:
- it is a field of study in computer science and is resembling human decision-making in developed applications 
- machine learning is a sub-discipline of AI 
Q:
What are data retrieval methods ?
A:
- clustering methods, visualization techniques, decision tree methods, data mining 
- in order to successfully carry out the above mentioned methods, you have to previously define the objective of the data analysis, and the form of presentation 
- to get a fist glance of the data set it is beneficial to use visualization techniques 

Q:
Data retrieval methods- What is the clustering method ? 
A:
- the aim is to divide the data stock into different parts that fit together and exclude unnecessary data from the data stock 
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