IT Infrastructure Management For Hedonic Value

Discuss about the IT Infratructure Management for Hedonic Value.

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.

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. 

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 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.

E-commerce

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). 

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.

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) . 

SaaS

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 (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. 

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. 

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.

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.