Enhancing Financial Intelligence through Data Analytics

Increasing business demands lead to poor infrastructure in the IT department, resulting in unsatisfied customer orders. Server virtualization benefits Liberty Wines by reducing server burden from ten to four, improving customer services, and management. This leads to faster application running, better server utilization, and reduced power consumption. The Financial Crimes Enforcement Network (FinCEN) is a unit of financial intelligence that aims to limit financial crimes, with objectives including anti-money laundering and data analysis.

IT INFRASTRUCTURE MANAGEMENT
IT INFRATRUCTURE MAGEMENT
Name of the Student:
Name of the University:
Author note:

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Table of Contents
Answer to Question 1......................................................................................................................2
Answer to Question 2:.....................................................................................................................3
Answer to Question 3:.....................................................................................................................3
Answer to Question 4:.....................................................................................................................4
Answer to Question 5:.....................................................................................................................5
References........................................................................................................................................6

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Answer to Question 1
Just in time delivery: A supply management is mainly designed to minimize carrying
cost. A firm or a shop mainly orders the stuffs, which is immediately required by it. JIT (Just in
time) systems mainly focus the accurate demand of a product by its retailer. It also stresses on
the fact that the supply chain should have a clear idea about the time required to fulfill an order.
E-commerce: E-commerce mainly focuses on purchasing and selling of goods and
service or transmitting of funds and data over electronic network though internet (Cannon et al.,
2015).
SaaS: stands for software, as service is a new method of delivering various applications
over the internet. It gives freedom to user from installation and maintenance of various software
on a particular device. Various factors like security, availability and respective provider manages
performance.
Strategic planning: It is a systematic process used by various organization management
for setting priorities, focusing all the energy and available resources, strengthening various
available resources and stakeholders to work towards a common goal. It is actually used for
communication between organization and its desired goal.
Supply chain management: This system is mainly used to link the flow of goods and
services to various consumers. They are mainly used for improving quality, reducing cost of
various products. Supply management mainly focuses to provide planning, sourcing, producing
and delivering of various products to different consumer.

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DSS: A decision support system (DSS) is nothing but a system based application that has
the function of collecting, organizing, analyzing various business data to provide quality business
by making decision for management, operation and planning. DSS analysis mainly helps various
companies to identify and solve problem and make important decision.
Cloud infrastructure: Cloud infrastructure mainly refers to virtual system that is provided
via internet. It mainly refers to providing services or product through a model known as
infrastructure as a service (IaaS) which is a simple model for cloud computing.
Web 2: Web 2 is a given term used to explain and analyze second generation of World
Wide Web, which has a primary to gather and share information through internet. Web 2 is
considered more as a marketing term than a scientific term.
Extranet: Extranet is nothing but a private network technology that mainly uses Internet
Technology and public telecommunication to share a portion of information of their business
with various bodies like supplier, vendor, partner and customer (Chiu et al., 2014).
Big data analysis: Big data analyses mainly focuses on the process involving collection
and organization of various sets of data. It helps the organization in better understanding of
information contain in the data and help in choosing the right data for the business.
Answer to Question 2:
Data mining is nothing but a technique to analyze various patterns of data as per different
requirement for sorting useful information, which is gathered and kept in some common places
such as data warehouse. Data mining analysis mainly focuses on efficient analysis of business

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decision making and other information required reducing cost of products increase revenue of
various products (Liu & Motoda, 2012). It is also known as Data discovery and knowledge
discovery. The various steps involved in Data Mining are:
 Extract, transform and load data into the Warehouse.
 Store and manage data in the given database.
 Providing access to important data by using various software applications.
Firstly, data mining technique mainly involves gathering of required data used by
business analyst for reducing cost of production of various products. Company is either
transactional or metadata data. Transactional data mainly deals with day-to-day operations like
sales and cost. Metadata mainly deals with logical database design. Various patterns among data
elements provide all the required information, which can be used for increasing organizational
revenue. Organization with large consumers mainly uses data mining technology as it provides
clear view of products that are sold, its price and information of various customers.
The giant retailer Wal-Mart transmits all its important information to a data warehouse,
which contain terabytes of data. Their suppliers to track the buying pattern of various customers
can easily access this data containing important information. It can be used keepa track on
shopping nature, products that are searched the most.
The next of data mining is selecting a perfect algorithm, which is used for generating data
mining model. Working of this algorithm mainly identifies a set of data, which will be used
judging various parameters in the output. Many vendors of database like Oracle, SQL mainly
uses data mining algorithm like clustering, regression tress to satisfy the growing demand for
data mining (Stein et al., 2012).

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Answer to Question 3:
Enterprise Resource planning is nothing but is a process used by various business
that allow various organization to use a system of assembled application to manage
businesses which has a function of technology, services and human resource. ERP is
considered to be a application that is designed to be used by various business and it also
large business to customize and analyze various data to manage upgrades and
deployment. Now a day’s many business firm uses ERP system to replace legacy and
work with various ERP application. ERP software is mainly used by various business for
management of various distribution process, management of supply chain, improving the
accuracy of financial data, lower purchasing cost, managing human resource and payroll
function, accessing various business needs, providing various business needs, managing
accounting and financial needs. There are various kinds of ERP available now a days that
are mobile ERP, Cloud ERP, Social ERP, Tow-tier ERP. Mobile ERP mainly used by
executive and employees who wants a real time access to information, without
considering their location. It is expected that in near future that business will implement
mobile ERP for reports, dashboards and to perform some specific business key process
(Witten et al., 2016).
Cloud ERP is developing at a fast rate into various enterprises or business and many
are more focused to use cloud data in their system. Social ERP is mainly used by some
vendors to initiate and add various social media packages to their respective system for
increasing their efficiency. Two-tier ERP is mainly used by various enterprises to take care
of every aspect of various organization.

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ERP uses stock reservation process for option like system> configuration> Advance
stock>router to manage various orders. ERP allow a warehouse to manage various routers, it
checks the management of various stock ( Yisong & Chen, 2015) .
Answer to Question 4:
With increase in business, IT facility of the wines was not able to handle the
increasing amount of data that were being gathered due to increasing operational
activities of the wines ( Gheysari et al., 2012). The system that were being used earlier were
slow and has not been maintained properly or formatted for a long time, which indirectly
put a stress on the maintenance of these systems. The drawbacks of these was loss in
productivity which ultimately affected the process of business. The process of the core
business of Wines include inventory management and order processing which were
ultimately degraded because of the increasing business and updated technology as per the
requirements of the employees.
These were not sufficient for IT infrastructure for this change which ultimately
resulted in negative impact to Wine’s industry. The IT capacity in the organization is
actually much less than what is needed as that not sufficient for the increasing business.
This affected in satisfying the demands and needs of various customers. The orders of
the customer were not satisfied fully due to poor infrastructure of the IT department.
Server virtualization benefits liberty Wines and its environment in various way like it
reduced the burden of various server from ten to four. Due to the reduced number of physical
server the company improved its customer services and management to a lot of extent

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(Soomro & Hesson, 2012). This took place due to faster running application than earlier due
to better utilization of servers. It also reduced the power consumption that the organization
was bearing due to some extra number of servers by making saving the replacement of
the hardware that will needed for the servers.
Answer to Question 5:
The financial crimes enforcement Network ( FinCEN) is unit of financial
intelligence department and a bureau of the Treasury Department of United s States data
and IT problem that has the function of limiting various abilities of FinCEN to financial
crime that can be started as the ultimate aim and objective of FinCEN is to guard the
financial system that are being operated in a country from hamper of financial crimes
that can hamper the invested money of any organization . It has some other objectives like
anti-money laundering, process of analysis, collection in various financial departments (Fonté,
2017).
The financial intelligence depends on effective data analytics to identify various pattern
and relationships. It has ability to identify pattern and relationship in various national securities
(Peirce, 2012). Role of data analytics in crime detection are firstly it gives answer in real time for
all the quires related to fraud, it also provides automatic collection of data containing
important information. Indexing software helps in fast and easy access to data containing
important information.

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References
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Chiu, C. M., Wang, E. T., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers' repeat
purchase intentions in B2C e‐commerce: the roles of utilitarian value, hedonic value and
perceived risk. Information Systems Journal, 24(1), 85-114.
Fonté, E. F. (2017). Mobile Payments in the United States: How Disintermediation May Affect
Delivery of Payment Functions, Financial Inclusion and Anti-Money Laundering Issues.
Wash. JL Tech. & Arts, 8, 419.
Gheysari, H., Rasli, A., Roghanian, P., &Jebur, H. (2012).The role of information technology
infrastructure capability (ITIC) in management.International Journal of Fundamental
Psychology & Social Sciences, 2(2), 36-40.
Liu, H., & Motoda, H. (2012). Feature selection for knowledge discovery and data mining (Vol.
454). Springer Science & Business Media.
Peirce, H. (2012). Economic analysis by federal financial regulators.JL Econ. &Pol'y, 9, 569.
Soomro, T. R., &Hesson, M. (2012).Supporting best practices and standards for information
technology Infrastructure Library.Journal of Computer Science, 8(2), 272.

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Stein, J. L., Medland, S. E., Vasquez, A. A., Hibar, D. P., Senstad, R. E., Winkler, A. M., ... &
Bernard, M. (2012). Identification of common variants associated with human
hippocampal and intracranial volumes. Nature genetics, 44(5), 552-561.
Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data Mining: Practical machine
learning tools and techniques. Morgan Kaufmann.
Yisong, L. I. U., Su, H., & Chen, Z. (2015). U.S. Patent No. 9,031,069. Washington, DC: U.S.
Patent and Trademark Office.