BUS4002: Analyzing Deutsche Bank's Business Management Systems Report

This report provides an in-depth analysis of Deutsche Bank's business management practices. It begins by outlining the bank's organizational structure, including its key divisions such as Global Marketers, Global Banking, Private Wealth Management, and Asset Management, highlighting their interconnections and contributions to overall business objectives. The report then delves into the different forms of data utilized by the bank, differentiating between primary and secondary data, as well as qualitative and quantitative data. A significant portion of the report focuses on data warehousing, explaining its role in analyzing and assessing data for decision-making, with detailed discussions on enterprise data warehouses, operational data stores, and data marts. Furthermore, the report examines the implications of the GDPR data protection legislation, discussing key concerns and the ethical, legal, and professional implications associated with it. The analysis includes recommendations for big data solutions, along with their advantages and disadvantages, providing a comprehensive overview of Deutsche Bank's information systems and data management strategies.

business management

Table of Contents
Table of Contents.............................................................................................................................2
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
Business divisions of Deutsche Bank..........................................................................................3
Different form of data and role of data warehousing..................................................................6
GDPR data protection legislation................................................................................................8
CONCLUSION..............................................................................................................................10
REFERENCES..............................................................................................................................11

INTRODUCTION
Business management is defined as managing business operations associated with the
organisation. This report is based on the case study of Deutsche Bank in respect to its business
management operations. The organisation was established in year 1870. Company has its own
approximately 2000 branches that improved the scale of company's operations. The bank is also
a part of top 10 largest investment banks at the global level. This project would assess the
business management functions of the organisation. Henceforth, report will emphasis over the
various divisions related to the Deutsche Bank that are interconnected with each other.
Organisation structure of company will be precisely defined in this project. Different types of
data and the role of data warehousing in respect to the organisation will also precisely defined in
this project. Recommendations will also provide in respect to big data solutions that can also be
projected. Detailed description of proposed solution will provide that comprises with advantages
and disadvantages of the respective data solutions projected. Furthermore, this project the new
GDPR data protection legislation. Key concern related to the legislation will provide and also the
ethical, legal and professional implication will also channelize in this project related to the
legislation.
MAIN BODY
Business divisions of Deutsche Bank
(Bennett, 2018)

Entire organisation structure of the Deutsche Bank is segregated into various divisions
that are projected as global marketers, global banking, private wealth management and asset
management division. All these different divisions support organisation in achieving the overall
goals and objectives behind the business operations entertained by the Deutsche Bank. The inter
relation of all different divisions can be projected in the following manner even if all these
divisions has been engaged in conducting different functional activities even they are still
connected with each other in order to channelize the precise operational area of organisation.
Global marketers
Global marketers is denoted as the division of the Deutsche Bank engaged in marketing
operations. This is a key divisional area associated with the organisation that has been critically
engaged in delivering the marketing functions at the global level. Global marketers is the clinical
functional division part of the Deutsche Bank which operate the promotional campaigns
associated with the functional area of organisation. In case of globalised business organisation
every single functional area associated with the organisation is segregated into individual
division that can look forward to achieving the maximum level of work efficiencies as a result of
the operations. Global marketing is specific division of the Deutsche Bank that conduct all
different promotional campaigns related to other business areas such as global banking, private
wealth management, asset management services of company and all other functional area to
engaged with clients at global level.
Global banking
Global banking is another division part of the Deutsche Bank. This division deals with
the banking sector at the global level. Banking involve the financial management that support the
organisation to deliver the financial assistance to the customers. Banking sector is among the
merging sector part of the business environment at the global level. Deutsche Bank contain all
its financial management task in the banking segment of organisation (Bhaimia, 2018). Currently
company is operating its operations at the global level that support the organisation to achieve
the overall objectives behind the business operations entertained by the organisation.
Private wealth management
Private wealth management is also among the key divisional area associated with the
organisation. IN this division organisation deliver the services related to wealth management to

companies, corporate sector organisation, professionals and to all other stakeholders that requires
wealth related solutiins. This division cover the entire wealth management area of the
organisation. Wealth management involve taking the decisions that can support the overall
growth of company's wealth. This divisional area cater all the services and assistance or guidance
to all other division to achieve the maximum amount of wealth related to the business operations
entertained by the company (Brkan, 2019). This division plays an integral role in the
organisation as it cover all crucial decision making related to each individual division to achieve
the best level of wealth management solutions at the organisation level.
Asset management
Asset management involve managing the assets of company. This division cover the
functional areas such as developing, operating, maintaining and selling the assets related to the
organisation. Every division part of the company contain the assets. This division work to
achieve the best level of asset management solutions in the organisation. IN order to deliver the
best level of business outcomes it is essential for the organisation to manage the assets of
company. All growth and other objectives behind the business operations entertained by the
organisation utilising assets part of the company is a key process to deliver all different
objectives behind the business operations of organisation.
The above mentioned points denote the all different divisions part of the organisation
hierarchy of Deutsche Bank. IN order to meet all different objectives behind the business its
important for the organisation to utilise all different divisions part of company to meet the
objectives of organisation. Its important for the overall operation management of the Deutsche
Bank that all its individual division operate and work along with other divisions to raise the
operational proficiencies and capabilities (Bu-Pasha, 2017). Each division of Deutsche Bank
denote the individual functional area of company which contribute in the overall growth and
development of organisation. Individual support of every division to other division guide the
entire operation management is the best direction. Leadership at the Deutsche Bank also support
the collaborative working approach to achieve the maximum possible outcomes against the
business operations entertained by the organisation. The above mentioned chart related to
organisational division represent that to reach the maximum possible work efficiencies it is
crucial for all the individual divisions of company to work together and try to reach the business
objectives.

Different form of data and role of data warehousing
Data is the form of information that contain statistical format to deliver the knowledge. In
general term data is of two different types comprises with primary form of data and secondary
form of data. Primary data is all about collecting information by putting the individual efforts to
collect the entire information. Primary data is more like generating new information, data and
figures over the respective topic by conducting interviews, research and utilising all potential
sources that can deliver the best amount of information. Primary data is unused as the researcher
and the organisation itself putting efforts to collect the modified information and knowledge over
the topic. Secondary data is another type of data that can be refereed to collect the information.
Secondary data involve the already available information and data over the respective topic.
Secondary data involve sources like internet, books, journals, articles and all other potential
sources that has already been utilised to deliver the best level of outcomes against the practices.
Data and information is furthermore segregated into qualitative and quantitative type of
data. Qualitative type of data involve theoretical form of information and theories along with
some specific statistics to deliver the best quality of information over the respective topic. In case
of quantitative type of data organisation deliver the statistical form of information and
knowledge to achieve the maximum level of outcomes. This data only contain with mathematical
figures and information to support the best level of outcomes in the organisation. Every
information and data is relevant in context to the organisation and its associated operations. Data
warehousing is further demonstrated as the system or a practice that involve analysis, assessment
and evaluate the entire data or information (Cornock, 2018). This is denoted as the core
component of business intelligence. It is a system Deutsche Bank has established in the
organisation where company collect all information related to banking, finance and other streams
to assess and analyse the entire information to reach the maximum level of outcomes. This is the
simple technique of analysing the information to gain the competitive advantages in the
business. All decisions board of directors take are based on the information and the data this
system of data warehousing provide to the management of Deutsche Bank.
Data warehouse is conducted at the organisation level with the support of different
systems such as enterprise data warehouse, operational data store and data mart. All three
systems allow the Deutsche Bank to deliver the maximum level of functional outcomes against
utilisation of data and information. Different system contain with different types of luxury that

organisation can use to deliver the best amount of data assessment. Decision making is business
is a critical area and data or information al these ware house system provide support and guide
the organisation to make the most profitable decision in favour of the organisation. Enterprise
data warehouse is a centralised way to collect the information. This system consumes multiple
sources to collect and store the information for the best possible use in organisation. IN case of
Deutsche Bank this is an effective tool which allow the organisation to deliver all the
information stores in the company's system at one place for all the locations of business. To
channelise and use the latest information this system is used by the Deutsche Bank (Kelleher
and Murray, 2018). All modified information and data are recorded in this system and also to use
the system for further decision making process of the organisation. In context to the business
decision making modified information and data is the most prominent and useful tool and
information that support the organisation to make the best level of business decision. Data mart
is further used to assess only the single short of information and data to take the decision. All
different tools contribute in making the best level of decisions in business. ON the basis of the
scale of decision all different tools are used by the company.
It is recommended to the management of Deutsche Bank to utilise the operational data
store as the prominent tool to assess and analysis the information in business. IN context to the
business decision making majority of the decision carry the huge influence of all the modern
time requirements and information. Business environment contain a volatile nature that also
accept the changes in the business information (Keller, 2018). Data and information part of the
business environment are directly influenced with the changes business environment address.
Company modified the business information in the operational data store to modify the
information and collect the latest figures about the market share, sales and different other
elements like interest rate associated with the asset management, wealth management, banking
and marketing divisions of the operations in Deutsche Bank.
This system of data warehousing would support the organisation to deliver the best level
of services to store and collect the latest information and figures. With support of analysis of
information based on the latest figures and statistics company can deliver most advanced nature
of wealth and asset management services. The critical evaluation of the operational data analysis
system project that it cater advantages like provide the latest information, modified statistics,
involve all current trends, secure all information in the system for long time frame, it is

consistent, economical to deliver the best level of business outcomes, system is connected at the
universal level and also the low cost maintenance in the system which make the system more
advanced and effective in context to analyse the data and information to make the best level of
decisions in business. All advantages associated with the operational data warehouse. All these
positive factors related to the system make the entire structure more profitable for the
organisation. Services like wealth management and asset management require organisation to
consume only the latest information sources to make the decision (Kotsios and et.al., 2019). The
system also associated with certain disadvantages like it consume extra reporting work for all
different information, cost benefit analysis also make the system less effective in comparison
with other system consume for data warehousing, ownership concern has also been reported in
this system and also the lesser flexibility offer by this system that make the entire structure less
effective in comparison with other data warehousing tool company can use. Apart from some
critical aspect related to the operation data structure there are many several advantages and
benefits which make the system more effective in favour of the organisation to achieve the best
level of functional outcomes. Deutsche Bank has been engaged in various operations like asset
management, wealth management, global marketing and banking sector that involve the most
advanced source of information to improve the decision making of business.
GDPR data protection legislation
GDPR is a law and regulation related to the data protection and data privacy issue at the
organisation level. All such organisation operates functions in European Union need to follow
the data protection and privacy regulations issues in this legislation. Data protection has always
been a key concerned about the organisations operate business operations. All decision
organisation make are based on the information available over the platform to meet the business
objectives. This legislation also deal with the practice where the organisation is transferring
information from the European Union area to outside the European Union (Macenaite, 2017).
This legislation and regulation directly deals with the data protection and conservationist related
aspects. Over the period business environment at the global level has witnessed various aspects
related to the changes in business sector in technology, practices due to innovation and volatile
nature of environment. Data protection act is an important legislative function associated with
the operations. This legislation deals with different factors denoted as ethical, legal and other
such elements that strengthen the data protection function of organisation. IN recent few years

many cases has been registered related to the breach of data protection and data privacy which
further initiated as frauds with customers and organisation to which company deliver its services.
This legislation has effectively dealt with all these issues that can be projected in the following
points. In order to improve the growth of company it’s important for the government to protect
the privacy issue of company and business leaders so that positive business culture at the
organisation level can be established by the organisation. The legislation could support the
organisation to deal with all different issues related to the data protection and privacy which can
be projected in the following points.
Ethical issue
Ethical issue is an effective factor that has been addressed by the legislation. It is an
ethical issue when important and relevant information get lick. It can be projected that the
legislation denoted as the GDPR has been an effective tool and factor that could support the
organisation to deliver the best level of data protection related services and practices. It is
essential for the organisation to channelize best level of data protection techniques (Pagallo,
2017). Data breaching is considered as the ethical issue associated with the organisation and in
order to deliver the best level of business outcomes which protecting and securing the important
information play vital role for the organisation to meet business objectives. Ethical issue always
a key aspect every time any legislation is implemented at the organisation level. Government
overlook all different legislative implication in context to the ethical aspect.
Legal
It is illegal to lick the essential information and data. The legislation denoted as GDPR
has been effectively dealt with the legal issue related to the data leakage. Many cases has been
reported where the essential and important information and knowledge has been leaked due to
inappropriate legal regulation and implications of ineffective level of legal articles that do not
able to effectively cater the data protection related needs and requirements of organisation (van
Veen, 2018). The implication of the act has covered all key areas associated with data and
information. Now it is completely illegal to create data blockage and to lick the essential
information from the data base of company. If any individual found guilty in respective action
the associated organisation get the legal right over such guilty individuals. GDPR has been
among the key revolution proved in the data protection business especially in European Union
and the associated regulatory area.

Professional implication
GDPR the legal regulation carry an important professional implication. This is the
important aspect related to the law to contain the professional level implication. Any legal
regulation is successfully only when it cover the professional level implication over different
companies and corporate sector (Voss, 2016). The implication of the act is totally in respect to
the business environment and corporate sector in respect to the companies and organisation that
are suffering from the issue of data leakage. This causes to many losses in the overall business
growth of company.
The above mentioned aspect has supported the GDPR act to cover all different areas
associated with the data protection and information leakage issue. The act has supported the
organisation to improve the data security in respect to the essential information of the
organisation.
CONCLUSION
Data protection is always an important issues organisation and business environment is
suffering. Data are the important fundamentals related to the business operations of organisation.
All decisions company make are based on the information reflected in the data and the figures
related to the business. Tools like information operating software and other such tools that can be
used by the organisation to strengthen the data security. GDPR the act has been effective enough
in context to the organisation to deal with the data leakage issue and improved the strengthening
of the data and essential information related to the organisation.

REFERENCES
Books and Journals
Bennett, C. J., 2018. The European General Data Protection Regulation: An instrument for the
globalization of privacy standards?. Information Polity. 23(2). pp.239-246.
Bhaimia, S., 2018. The General Data Protection Regulation: the Next Generation of EU Data
Protection. Legal Information Management. 18(1).
Brkan, M., 2019. Do algorithms rule the world? Algorithmic decision-making and data
protection in the framework of the GDPR and beyond. International journal of law and
information technology. 27(2). pp.91-121.
Bu-Pasha, S., 2017. Cross-border issues under EU data protection law with regards to personal
data protection. Information & Communications Technology Law. 26(3). pp.213-228.
Cornock, M., 2018. General Data Protection Regulation (GDPR) and implications for
research. Maturitas. 111. p.A1.
Kelleher, D. and Murray, K., 2018. EU data protection law. Bloomsbury Professional.
Keller, D., 2018. The Right Tools: Europe's Intermediary Liability Laws and the EU 2016
General Data Protection Regulation. Berkeley Tech. LJ, 33, p.287.
Kotsios, A., Magnani, M., Vega, D., Rossi, L. and Shklovski, I., 2019. An analysis of the
consequences of the general data protection regulation on social network research. ACM
Transactions on Social Computing. 2(3). pp.1-22.
Macenaite, M., 2017. From universal towards child-specific protection of the right to privacy
online: Dilemmas in the EU General Data Protection Regulation. New Media &
Society. 19(5). pp.765-779.
Pagallo, U., 2017. The legal challenges of big data: putting secondary rules first in the field of
EU data protection. Eur. Data Prot. L. Rev.. 3. p.36.
van Veen, E. B., 2018. Observational health research in Europe: understanding the General Data
Protection Regulation and underlying debate. European Journal of Cancer. 104. pp.70-
80.
Voss, W. G., 2016. European union data privacy law reform: General data protection regulation,
privacy shield, and the right to delisting. The Business Lawyer. 72(1). pp.221-234.