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Different Business Divisions of Deutsche Bank

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Added on  2023/01/05

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This article discusses the different business divisions of Deutsche Bank and how they are interconnected. It provides an overview of the Corporate Bank, Investment Bank, Private Bank, and Infrastructure divisions, as well as the role of technology in supporting these divisions. The article also highlights the importance of data warehousing in Deutsche Bank and the different forms of data used in the bank's operations.

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Management Information
Systems

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Contents
INTRODUCTION......................................................................................................................3
QUESTION 1.............................................................................................................................3
Different business divisions of Deutsche Bank are interconnected.......................................3
QUESTION 2.............................................................................................................................6
Different forms of data and the role or responsibility of data warehousing in Deutsche
Bank.......................................................................................................................................6
QUESTION 3.............................................................................................................................9
Information about the Code of Conduct and the new GDPR data protection legislation of
Deutsche Bank.......................................................................................................................9
CONCLUSION........................................................................................................................10
REFERENCES.........................................................................................................................11
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INTRODUCTION
Management information system is a computer system that consists of software and
hardware, which serves as the backbone of an enterprise's operations. In simple word, this is
the study of technology, organisations, people and relationship among them (Bessler and et.
al, 2018). Management information system (MIS) professional support organisations to
realize maximum benefit or advantages from investment in equipment, personal and business
process. For this report, Deutsche Bank AG is a given German multinational financial service
company and investment bank. Company was founded in 1870 by Paul Achleinter, Chrisstian
Sewing and headquartered in Frankfurt, Germany. Company specialise in providing of
different services, which are related with the investment banking, asset management,
corporate banking, commercial banking and private banking. Main purpose of this report is to
identify the different divisions of Deutsche Bank, different forms of data and the role of data
warehousing in Deutsche Bank and the information of code of conduct and many legislations.
QUESTION 1
Different business divisions of Deutsche Bank are interconnected
Deutsche Bank is a German multinational investment bank that specialise in providence
of different types of services to the customers. Deutsche Bank mainly has 4 business
divisions which are Corporate Bank, Private Bank, Investment Bank and Asset managers
DWS. All these decisions are work with each other that facilitate business organisation by
improving its financial performance in successful manner. In this organisation, there are also
a different number of infrastructure functions that performing or doing key management tasks
(Epstein and et. al., 2018). Technology team of Deutsche Bank are responsible and liable for
the entire information technology infrastructure of bank. All these divisions will be described
as below: Corporate Bank: At the core of Deutsche Bank's customer establishment is
characterize the corporate bank and market pioneer in real money the executives, trust
and office, exchange account and loaning and protections administrations.
Emphasising on the finance departments and treasures of financial institutions and
corporate and commercial client across the world. Corporate bank is the division of
Deutsche Bank that is interconnected with investment bank. Both are work with the
purpose of improving financial and business performance of Deutsche Bank.
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Investment bank: This bank combines corporate finance and Deutsche bank's fixed
income & currencies as well as Deutsche bank research. This division of Deutsche
bank mainly emphasis on its traditional strengths in advisory, currencies, fixed
income and financing. It gives strategic advice or consul to corporate clients as well
as includes a focused equity capital markets business. This division is interconnected
with the private and corporate bank. As this will support Deutsche Bank in enhancing
of its brand image successfully.
Private bank: This is another business division of Deutsche bank that combines the
expertise of banks in private banking with Postbank within Germany. Wealth
management and commercial bank international is one corporate division. This bank
offers high quality advice as well as wide range of financial services from a particular
source. This division is interconnected or interrelated with the technology and
infrastructure (Ferreira and et. al., 2018). As private bank requires technology to
provide banking services to the customers. They also need effective infrastructure that
assist bank in improvement of its growth and development. Infrastructure: This division or sectors service and control functions and, in specific
activity relating to group-wide, liquidity and capital management, supra-divisional
resource planning, steering and control as well as risk. This division is connected with
the private and investment bank because both banks are requiring effective
infrastructure for improving the business performance and productivity easily.
Technology: It is an important division of any type of organisation because they
support by providing technological services to the clients. From modernizing business
systems simplifying technology environment for developing industry-shaping tools.
Deutsche bank has become the first financial organisations to create professional
research and development, such as global technology centres, digital factory and
global network of five innovation labs. Bank has developed a dedicated technology,
innovation and data functions that brings together their experts under particular IT
strategy (Huang and et. al., 2018). Technology division of Deutsche Bank is
interconnected with the all divisions such as private, investment, DWS etc. This
interconnection facilitates Deutsche Bank in enhancement of its business growth and
success.
In addition to this there are several departments such as marketing, finance, human resource,
accounts and many more in a bank who share essential data and information so that they
conduct work in effective manner. In respect of this banks generally use cloud software

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because that help in storing information as well as data in proper and safe manner. These data
are mainly access by the authorised person who have password or id. This will help in
ensuring that all the essential information as well as data of different department are safe. In
addition to this by storing data and information at this system help in accessing it by all
departments easily that help in conducting work in proper as well as effective manner.
Moreover in order to share information or data from one department to another management
also use e mail, LAN, WAN and so on. This will help in fast transferring of the essential
information and data among the departments successfully.
Structure and division of the workflow
Deutsche Bank is a German multinational investment bank that specialise in
providence of different types of services to the customers. Deutsche Bank mainly has 4
business divisions which are Corporate Bank, Private Bank, Investment Bank and Asset
managers DWS. All these decisions are work with each other that facilitate business
organisation by improving its financial performance in successful manner (Joseph, 2017). In
this organisation, there are also a different number of infrastructure functions that performing
or doing key management tasks. Technology team of Deutsche Bank are responsible and
liable for the entire information technology infrastructure of bank. All these divisions will be
described as below:
Corporate bank: this is the heart of the Deutsche bank in the clients franchises, which is the
market leader in the cash management, trust and agency, securities deposit and trade
financing activities are related to that bank. Corporate bank is the division of Deutsche Bank
that is interconnected with investment bank. Both are work with the purpose of improving
financial and business performance of Deutsche Bank. Their main focus is on the finance
departments of the corporate, local or commercial clients, as the global network of the bank
allow them to make the solution effectively and truly integrate with the customers.
Investment bank: This department work for the bank’s fixed income and currencies which is
managed all over the world. Their main focus is on to highlight the strength in finance,
advisory and currencies which is wholly managed by the investment bank. They also
complete the world class research with trading and expertise organised foreign exchange rate,
rates, and emerging markets. It gives strategic advice or consul to corporate clients as well as
includes a focused equity capital markets business. This division is interconnected with the
private and corporate bank. As this will support Deutsche Bank in enhancing of its brand
image successfully.
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Private Banks: They work with the expertise post banking system in Germany, the division
of the private and commercial international bank and their wealth management system is the
most important division and work-flow of the respected bank (Chesnais, 2016). With their
high quality advice and unlimited financial services which are provide to the home country
customers and other international customers from a single source give the way to major
achievement of the bank.
Technology: Technology is the way which unpin the bank’s successful growth in the market.
With the use of simplified and most effective technologies the respected bank become the
most leading technology advancement bank. Technology division of Deutsche Bank is
interconnected with the all divisions such as private, investment, DWS etc. This
interconnection facilitates Deutsche Bank in enhancement of its business growth and success.
DWS: They are the group which provide the largest asset management managers who help
the banks to manage the assets and locate them in the organized manner (Triepels, Daniels
and Berndsen, 2020). It gives strategic advice or consul to corporate clients as well as
includes a focused equity capital markets business. This division is interconnected with the
private and corporate bank. As this will support Deutsche Bank in enhancing of its brand
image successfully.
Therefore, all these are main divisions of the Deutsche bank that are interconnected
with the purpose of accomplishing business goals and objectives in successful and systemic
manner. This turn to impact on Deutsche bank by increasing its financial performance.
QUESTION 2
Different forms of data and the role or responsibility of data warehousing in Deutsche Bank
Information system is considered as the integrated set of elements in order to accumulate,
store and process information as well as for facilitating data, knowledge and digital
goods. Currently there is various kind of information system that can be utilised through
various banks such as Deutsche Bank which aids them to perform their operation in
effective and efficient way. So, some of the information systems that respective bank is
discussed underneath:
Executive Support system (ESS):
It is a kind of Information which was designed for assisting senior management support
business as well as formulates strategic decisions. Moreover, this accumulated,
determines and summarises the main internal as well as external information which is
utilised into each day business. So, Deutsche Bank can use this as it assists them to
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known about an inventory of whole current information assets; a projected income figure
depends upon new product sales anticipation as well as reasonable sales figures among
one week as well as future times.
Knowledge management systems (KMS)
Knowledge management system exits to aids businesses development as well as share several
information. Moreover, these are mainly utilised in industries in which staff develops
new understandings as well as expertise that may then be shared through other
individuals within banking firm such as Deutsche Bank to develop extra commercial
opportunities.
Decision support system (DSS)
This is also considered as essential information system which intent to aids individuals to
reach decisions when a decision making situation arises. Moreover, the system comprises
of techniques as well as tools for assisting to accumulate appropriate data as well as
determined the preferences and alternatives. Along with this, it generally includes usages
of complex spreadsheet as well as databases for developing models that would aids them
to ascertain tough circumstances and their possible results. Therefore, this can be utilised
by Deutsche Bank as this aids them to determine the existent structured information as
well as also enable their managers to project the potential impact of its decision in
upcoming times.
Big data is considered as the term which described the huge volume of data in both structured
as well as unstructured manner which inundates a business upon continuous basis.
Within banks like Deutsche Bank this allows them to accumulate, make sense of as well
as share branch performance metrics in all over department at real period. Moreover, it
states the effective visibility into day to day practices as well as an elevated capability for
proactively resolves any problems.
Therefore, from the among mentioned information system it has been recommended that
Decision support system is effective of Deutsche Bank as this aids them to determine the
existent structured information as well as also enable their managers to project the
potential impact of its decision in upcoming times. Beside, this is it also recommend to
them that big data plays one of the crucial role into their operations as it aids them to
share the performance metrics of all department into particular branch.
Recommendations
Construct large information methodology to remove business esteem: The colossal standard
of associations concurs that huge information is a remarkable occasion to get client bits

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of knowledge, watch business activities inside continuous, conjecture organization
results, etc. Then again, it is so just if bank take advantage of this lucky break. In
addition to this, respective bank may also adopt several system such as ESS, KMS as
well as DSS because through that they can conduct their business effectively for
attaining desire goal.
Technology strategy to enable big data strategy: On the back of the gigantic data
procedure/control, enlighten an endeavour wide advancement strategy for huge data the
chiefs. A couple of segments that will go into such a system would be guides, tendencies,
organization, etc. In the advancement procedure document you could detail out a guide
for creating from coordinated to semi-coordinated to unstructured data plans – the three-
adventure enormous data framework. Since the idea should be to dodge soloed data
vaults, the development technique should configuration supported stages and interfaces
for getting, taking care of, and taking care of each data plan. These stages must match as
a lone development stack rather than as individual advances, and as needs be, the
development approach ought to in like manner address the consolidation control for
these stages. Finally, the strategy ought to similarly anticipate and address the cut-off,
storing and versatility troubles of what might be on the horizon (Pešalj, Pavlov and
Micheli, 2018).
Advantages and disadvantages of the information system
Advantages Disadvantages
Correspondence with help of data
advances the prompt informing,
voice, messages and video calls turns
out to be quicker, less expensive just
as much productive.
Openness information structures has
made it serviceable for associations
to be open 24×7 wherever on the
globe. This suggests that a business
can be open at whatever point
wherever, making purchases from
different countries easier and more
worthwhile. It furthermore suggests
Implementation expenses – In order to
incorporate the information system, it
need attractive good amount of price
in a case of hardware, software and
people. Programming, equipment and
some different administrations ought
to be leased, purchased and upheld.
Representatives should be prepared
with new data innovation and
programming (Tian and et. al., 2019).
Security issues: Hackers and thieves
obtain access to determine as well as
corporate saboteurs target responsive
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that you can have your items passed
on right to your doorstep with
moving a singular muscle.
corporation data. This type of data
can cover intellectual property, bank
records, vendor information and
personal data on business
management (Rantos, and et. al.,
2018).
QUESTION 3
Information about the Code of Conduct and the new GDPR data protection legislation of
Deutsche Bank
The General Data Protection Regulation (EU) 2016/679 (GDPR) is a guideline in EU
law on information insurance and security in the European Union (EU) and the European
Economic Area (EEA). The function of vulnerability along with threat related with particular
asset is defined as security concern. It is important to identify these aspects in order to ensure
that the information related with different entities of Deutsche Bank is secured and for this
strong measures are taken up by the firm. The certain critical aspects have been mentioned
below:
Ethical: With reference to this, employees of Deutsche Bank must accept their
accountabilities in context of work done by them. The reason behind this that before,
making use of any software it becomes important for them to test it completely so that
in case if any kind of vulnerabilities are present within this then they can be resolved
in an appropriate manner. Furthermore, authorities must be informed about concerned
dangers so that adequate measures can be taken up by management before things goes
worse. The ethical concerns in context of security of information also illustrates that
in case if any software is obtained unethically then this must not be used as there is
higher probability that when vendors are unknown or unauthenticated then this might
leads to vulnerabilities or any serious threats which might hamper overall working of
the organization. This is ethically not appropriate as these increases the risks of
certain information security attacks.
Legal: GDPR 2016/679 implies regulation that is present within EU laws for
protection as well as privacy in European Economic area and European Union. This
legislation is liable for addressing all the information transfers that have been made by
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organization while delivering their operations outside EEA and EU. The management
of Deutsche Bank need to ensure that any such kind of activities are not involved
without having prior permission from the client or person whose information is being
shared. This is done in order make sure that any kind of unwanted activities do not
occur that might lead to creation of pessimistic impact on the country. The aim of this
is to render control to individual over personal information. This further leads to
simplify regulatory environment for ensuring international business through unifying
regulations in EU.
Professional: In this context, the Deutsche Bank and their employees needs to make
sure that information is not shared with anyone illegally without consent of associated
person. The reason behind this is that each individual have their confidentiality issue
which is a major aspect within information security. This makes it essential that any
kind of data transactions are not carried out with third person unless it is important
and identity of later has been authenticated. In addition to this, professionals of
Deutsche Bank also have to lay emphasis on aspects of integrity in data that is
provided to their customers as they possess right to have precise and clear knowledge
about the organization. The professionals have to abide to certain regulations so that
they can adhere to confidentiality, privacy, integrity and transparency concepts of
information security. It is important that before making any huge transactions, they
must ensure that any authenticity and authorization of the later.
CONCLUSION
From the above mentioned information, it has been concluded that there are different
division of business that are interconnected with each other. This supported financial
institutions in improving of its financial performance successfully. Data flow diagram is
facilitated business organisation in flowing of information to the lower to middle and to upper
level. Data warehousing played important role in maintaining the data record for longer time
period. Code of conduct and different legislations helped banking industry in attaining of
competitive advantages successfully. In addition to this there are several departments in a
company and they access each other data or information in order to develop effective
decision. Moreover it also leads to proper functioning of the business operations as well as
functions that leads to attainment of desire goal and objective successfully.

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REFERENCES
Books and journals
Bessler, S. and et. al, 2018. Systems and methods for automatic generation of a relationship
management system. U.S. Patent 9,898,743.
Epstein, R.H. and et. al., 2018. Perioperative temperature measurement considerations
relevant to reporting requirements for national quality programs using data from
anesthesia information management systems. Anesthesia & Analgesia, 126(2),
pp.478-486.
Ferreira, J.C. and et. al., 2018. An energy management platform for public
buildings. Electronics, 7(11), p.294.
Huang, Y. and et. al., 2018. Agricultural remote sensing big data: Management and
applications. Journal of Integrative Agriculture, 17(9), pp.1915-1931.
Joosten, A. and et. al., 2020. Anesthetic management using multiple closed-loop systems and
delayed neurocognitive recovery: a randomized controlled
trial. Anesthesiology, 132(2), pp.253-266.
Kasemsap, K., 2018. Mastering business process management and business intelligence in
global business. In Global Business Expansion: Concepts, Methodologies, Tools,
and Applications (pp. 76-96). IGI Global.
Levykin, V. and Chala, O., 2018. Method of automated construction and expansion of the
knowledge base of the business process management system. EUREKA: Physics
and Engineering, (4), pp.29-35.
Macchi, M. and et. al., 2018. Exploring the role of digital twin for asset lifecycle
management. IFAC-PapersOnLine, 51(11), pp.790-795.
Merenkov, A., 2018. Digital economy: transport management and intelligent transportation
systems. E-management, 1(1), pp.12-18.
Pešalj, B., Pavlov, A. and Micheli, P., 2018. The use of management control and performance
measurement systems in SMEs: A levers of control perspective.
Rantos, K. and et. al., 2018, July. Blockchain-based Consents Management for Personal Data
Processing in the IoT Ecosystem. In ICETE (2) (pp. 738-743).
Sarkar, B. and et. al., 2019. Product Channeling in an O2O supply chain management as
power transmission in electric power distribution systems. Mathematics, 7(1), p.4.
Soto-Acosta, P., Del Giudice, M. and Scuotto, V., 2018. Emerging issues on business
innovation ecosystems: the role of information and communication technologies
(ICTs) for knowledge management (KM) and innovation within and among
enterprises. Baltic Journal of Management.
Suša Vugec, D., Tomičić-Pupek, K. and Vukšić, V.B., 2018. Social business process
management in practice: Overcoming the limitations of the traditional business
process management. International Journal of Engineering Business
Management, 10, p.1847979017750927.
Chakraborty, C. and Joseph, A., 2017. Machine learning at central banks.
Chesnais, F., 2016. Finance capital today: corporations and banks in the lasting global
slump. Brill.
Triepels, R., Daniels, H. and Berndsen, R., 2020. Monitoring Liquidity Management of
Banks With Recurrent Neural Networks. Computational Economics, pp.1-24.
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