Data Insights for Business Decisions - Desklib
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This presentation discusses the type of data collected by British Airways, orthodox market research, differentiation between orthodox market research and big data, capture and storage of data, impact of technological development on decision-making process, using data and information within British Airways and its strategic importance, and recommendations to improve data capture by British Airways.
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Data insights For
Business Decisions
Business Decisions
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TABLE OF CONTENTS
INTRODUCTION
TYPE OF DATA COLLECTED BY BRITISH AIRWAYS
ORTHODOX MARKET RESEARCH EXPLANATION
DIFFERENTIATION BETWEEN ORTHODOX MARKET RESEARCH AND BIG DATA
CAPTURE AND STORAGE OF DATA
RELATIONAL DATABASE MANAGEMENT SYSTEM
DATA STORAGE
IMPACT OF TECHNOLOGICAL DEVELOPMENT IN DECISION-MAKING PROCESS OF BRITISH
AIRWAYS
IMPACT OF RDBMS IN DECISION MAKING PROCESS
USING DATA AND INFORMATION WITHIN BRITISH AIRLINES AND ITS STRATEGIC
IMPORTANCE
RECOMMENDATIONS TO IMPROVE DATA CAPTURE BY BRITISH AIRWAYS
CONCLUSION
REFERENCES
INTRODUCTION
TYPE OF DATA COLLECTED BY BRITISH AIRWAYS
ORTHODOX MARKET RESEARCH EXPLANATION
DIFFERENTIATION BETWEEN ORTHODOX MARKET RESEARCH AND BIG DATA
CAPTURE AND STORAGE OF DATA
RELATIONAL DATABASE MANAGEMENT SYSTEM
DATA STORAGE
IMPACT OF TECHNOLOGICAL DEVELOPMENT IN DECISION-MAKING PROCESS OF BRITISH
AIRWAYS
IMPACT OF RDBMS IN DECISION MAKING PROCESS
USING DATA AND INFORMATION WITHIN BRITISH AIRLINES AND ITS STRATEGIC
IMPORTANCE
RECOMMENDATIONS TO IMPROVE DATA CAPTURE BY BRITISH AIRWAYS
CONCLUSION
REFERENCES
INTRODUCTION
Data Insight is the process of deeply understanding gains of the organization from
particular issue by analysing information.
In this presentation data collection and storage by British Airways will be highlighted.
The impact of technological development on role and use of data in decision-making
process of the company will be evaluated.
Recommendations will be given on the ways in which data capture can be improved by
the company.
Data Insight is the process of deeply understanding gains of the organization from
particular issue by analysing information.
In this presentation data collection and storage by British Airways will be highlighted.
The impact of technological development on role and use of data in decision-making
process of the company will be evaluated.
Recommendations will be given on the ways in which data capture can be improved by
the company.
TYPE OF DATA COLLECTED BY BRITISH AIRWAYS
British airlines collect personal information of its customers when the costumers use
services provided by the airlines for instance when customers travel with them, use
company's website and use company's call centres or mobile apps.
This personal information is collected by the company both when customers directly
use its services or through some other organizations or agents working in the place of
the customer.
The company further use this collected information to provide travel and other services
to its customers, personalize its customers experience regarding travel.
Data is used in order to communicate with the customer related to their travel and other
services that consumers ask the company to provide. And lastly to improve the services
and for security purposes.
British airlines collect personal information of its customers when the costumers use
services provided by the airlines for instance when customers travel with them, use
company's website and use company's call centres or mobile apps.
This personal information is collected by the company both when customers directly
use its services or through some other organizations or agents working in the place of
the customer.
The company further use this collected information to provide travel and other services
to its customers, personalize its customers experience regarding travel.
Data is used in order to communicate with the customer related to their travel and other
services that consumers ask the company to provide. And lastly to improve the services
and for security purposes.
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ORTHODOX MARKET RESEARCH
EXPLANATION
Orthodox or traditional market research is a broad concept that has incorporated
advertisement and marketing.
Traditional market research involves various tools and techniques for the collection of
required data and information.
There are two types of approaches in this type of data collection.
Qualitative Research
Quantitative Research
EXPLANATION
Orthodox or traditional market research is a broad concept that has incorporated
advertisement and marketing.
Traditional market research involves various tools and techniques for the collection of
required data and information.
There are two types of approaches in this type of data collection.
Qualitative Research
Quantitative Research
DIFFERENTIATION BETWEEN
ORTHODOX MARKET RESEARCH AND
BIG DATA
Basis for differentiation Orthodox Market
Research
Big Data
Size Of Data Data collected here is
measured in GB and TB.
Data collected is
measurable in PB, ZB or
EB.
Organization of Data Data is normally
organized in structures
consisting records, files
and tables.
Here dynamic schema is
used. It is stored raw and
unstructured.
Data Management Data Management is
through centralized
system that is cost-
effective and secure for
data that is small and
structured.
As the data here is big
and quite complex, it is
not possible to apply
central system here.
ORTHODOX MARKET RESEARCH AND
BIG DATA
Basis for differentiation Orthodox Market
Research
Big Data
Size Of Data Data collected here is
measured in GB and TB.
Data collected is
measurable in PB, ZB or
EB.
Organization of Data Data is normally
organized in structures
consisting records, files
and tables.
Here dynamic schema is
used. It is stored raw and
unstructured.
Data Management Data Management is
through centralized
system that is cost-
effective and secure for
data that is small and
structured.
As the data here is big
and quite complex, it is
not possible to apply
central system here.
CONTD...
Basis for differentiation Orthodox Market
Research
Big Data
Source of Data The data collected in
orthodox market research
is derived from resource.
Wider range of data at the
level of enterprise and
non-enterprise is derived
here.
Method Used for Analysis Analysis of traditional data
is done right after an event
occurs. Data is generated
in the event.
In big data analysis is
said to be done in real
time.
Basis for differentiation Orthodox Market
Research
Big Data
Source of Data The data collected in
orthodox market research
is derived from resource.
Wider range of data at the
level of enterprise and
non-enterprise is derived
here.
Method Used for Analysis Analysis of traditional data
is done right after an event
occurs. Data is generated
in the event.
In big data analysis is
said to be done in real
time.
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CAPTURE AND STORAGE OF DATA
The process of collection of information from structured or unstructured
document and converting it into data that is in computer readable format for
further use is called data capture.
There are various ways through which data is collected.
Literature sources
Surveys
Interviews
Observations
Documents and records
Experiments
The process of collection of information from structured or unstructured
document and converting it into data that is in computer readable format for
further use is called data capture.
There are various ways through which data is collected.
Literature sources
Surveys
Interviews
Observations
Documents and records
Experiments
RELATIONAL DATABASE MANAGEMENT SYSTEM
A relational database management system is type of database management system that
stores data in form of tables so that the data can be used in relation to other stored sets
of data.
British airways use this type of data management system to store the data it collects
A relational database management system is type of database management system that
stores data in form of tables so that the data can be used in relation to other stored sets
of data.
British airways use this type of data management system to store the data it collects
DATA STORAGE
Data is stored as a file in database management system. The data is stored through
tables. There are two forms in which data is stored first is in navigation form other is in
hierarchical form.
Data is stored in RDBMS by the British Airways as it is easy to find a
particular information in a relational database. Data points that are related to each other
are stored and accessed using relational databases. RDBMS is used to store and analyse
data. Each record in a table usually contains a value for each attribute this makes it easy
to determine relationships between them.
Data is stored as a file in database management system. The data is stored through
tables. There are two forms in which data is stored first is in navigation form other is in
hierarchical form.
Data is stored in RDBMS by the British Airways as it is easy to find a
particular information in a relational database. Data points that are related to each other
are stored and accessed using relational databases. RDBMS is used to store and analyse
data. Each record in a table usually contains a value for each attribute this makes it easy
to determine relationships between them.
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IMPACT OF TECHNOLOGICAL
DEVELOPMENT IN DECISION-MAKING
PROCESS OF BRITISH AIRWAYS
The operations of British airways are very huge and complex as the company connects
many destinations worldwide.
The development of mainframe and mini computers marks enormous impact on social
science and collection of data in market research.
Through computers large amount of data can be stored and analysed.
DB2 and IMS databases are used in British airways.
The introduction of relational database management systems gave businesses an
opportunity to use standard data access language (SQL) and logical data structures
(relational tables and views).
DEVELOPMENT IN DECISION-MAKING
PROCESS OF BRITISH AIRWAYS
The operations of British airways are very huge and complex as the company connects
many destinations worldwide.
The development of mainframe and mini computers marks enormous impact on social
science and collection of data in market research.
Through computers large amount of data can be stored and analysed.
DB2 and IMS databases are used in British airways.
The introduction of relational database management systems gave businesses an
opportunity to use standard data access language (SQL) and logical data structures
(relational tables and views).
IMPACT OF RDBMS IN DECISION
MAKING PROCESS
Enhanced Data security
Retain Data consistency
Better Flexibility and Scalability
Reduced Risk Of Errors
MAKING PROCESS
Enhanced Data security
Retain Data consistency
Better Flexibility and Scalability
Reduced Risk Of Errors
USING DATA AND INFORMATION
WITHIN BRITISH AIRLINES AND ITS
STRATEGIC IMPORTANCE
To plan operations
Sustainability in Flying
Staying safe
Communicating to customer and colleagues
Data and information are used by the British Airways to take strategic decisions in
planning, sustainability, safety, pricing and communicative aspects. These decisions help
company in maintaining its competitive position in the market.
WITHIN BRITISH AIRLINES AND ITS
STRATEGIC IMPORTANCE
To plan operations
Sustainability in Flying
Staying safe
Communicating to customer and colleagues
Data and information are used by the British Airways to take strategic decisions in
planning, sustainability, safety, pricing and communicative aspects. These decisions help
company in maintaining its competitive position in the market.
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RECOMMENDATIONS TO IMPROVE DATA
CAPTURE BY BRITISH AIRWAYS
The company should set guidelines for the prevention of data
duplication.
The staff should be made aware of the guidelines set up by the
company, and employees should compile to the guideline.
Same method for providing data input by each staff member should
be followed to avoid errors.
CAPTURE BY BRITISH AIRWAYS
The company should set guidelines for the prevention of data
duplication.
The staff should be made aware of the guidelines set up by the
company, and employees should compile to the guideline.
Same method for providing data input by each staff member should
be followed to avoid errors.
CONCLUSION
Based on the presentation difference between big data and orthodox
data have been highlighted.
This presentation has explained the way of capturing information in
context of RDBMS.
Role of technological development in using data by organization have
been analysed. Recommendations to British Airways have been made
to improve the data capture process.
Based on the presentation difference between big data and orthodox
data have been highlighted.
This presentation has explained the way of capturing information in
context of RDBMS.
Role of technological development in using data by organization have
been analysed. Recommendations to British Airways have been made
to improve the data capture process.
REFERENCES
Books and Journals
Abdulbaqi, A. and Al-Shibami, A. H., 2018. Conceptual framework for
investigating the intermediate role of information systems between big data
factor and decision-making factor. International Journal of Management and
Human Science (IJMHS). 2(2). pp.39-45.
Bortolon, M., Bazzanella, L. and Poiesi, F., 2021. Multi-view data capture for
dynamic object reconstruction using handheld augmented reality
mobiles. Journal of Real-Time Image Processing. 18(2). pp.345-355.
Buckley, R., 2018. Simultaneous analysis of qualitative and quantitative social
science data in conservation. Society & Natural Resources. 31(7). pp.865-870.
D'silva, J. V., De Moor, F. and Kemme, B., 2019, July. Keep your host language
object and also query it: A case for SQL query support in RDBMS for host
language objects. In Proceedings of the 31st International Conference on
Scientific and Statistical Database Management (pp. 133-144).
Ge, M., Bangui, H. and Buhnova, B., 2018. Big data for internet of things: a
survey. Future generation computer systems. 87. pp.601-614.
Books and Journals
Abdulbaqi, A. and Al-Shibami, A. H., 2018. Conceptual framework for
investigating the intermediate role of information systems between big data
factor and decision-making factor. International Journal of Management and
Human Science (IJMHS). 2(2). pp.39-45.
Bortolon, M., Bazzanella, L. and Poiesi, F., 2021. Multi-view data capture for
dynamic object reconstruction using handheld augmented reality
mobiles. Journal of Real-Time Image Processing. 18(2). pp.345-355.
Buckley, R., 2018. Simultaneous analysis of qualitative and quantitative social
science data in conservation. Society & Natural Resources. 31(7). pp.865-870.
D'silva, J. V., De Moor, F. and Kemme, B., 2019, July. Keep your host language
object and also query it: A case for SQL query support in RDBMS for host
language objects. In Proceedings of the 31st International Conference on
Scientific and Statistical Database Management (pp. 133-144).
Ge, M., Bangui, H. and Buhnova, B., 2018. Big data for internet of things: a
survey. Future generation computer systems. 87. pp.601-614.
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