Litgb Assignment

Topics: Marketing, Customer relationship management, Data warehouse Pages: 10 (2746 words) Published: May 15, 2013
[Type the company name]|

Ques-1 What is data mining, data warehousing, ERP, SCM (supply chain mgt), CRM and cloud computing and how these concepts/technology are related to each other? ANSWER
a) Data warehousing
* Data warehousing is a technique.
* A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process. * Data warehousing can be used to analyze a particular subject area. For example, "sales" can be a particular subject. A data warehouse is a copy of transaction data specifically structured for query and analysis. * Data warehouses are read only, integrated databases designed to answer comparative and “what if” questions. Some of the applications of data warehousing include:

* Agriculture
* Biological data analysis
* Call record analysis
* Churn Prediction for Telecom subscribers, Credit Card users etc. * Decision support
* Financial forecasting
* Insurance fraud analysis
* Logistics and Inventory management
* Trend analysis
* Companies use data warehousing for 1) validation, 2) tactical reporting, or 3) exploration.

* DW has been used as an important strategic tool to achieve organization’s objective. This gives important input on customer profiles and inheritance patterns, information that is used to strategic advantage.

b) Data mining
Data mining, is also known as "knowledge discovery," refers to computer-assisted tools and techniques for sifting through and analyzing these vast data stores in order to find trends, patterns, and correlations that can guide decision making and increase understanding. Data mining covers a wide variety of uses, from analyzing customer purchases to discovering galaxies. In essence, data mining is the equivalent of finding gold nuggets in a mountain of data. The monumental task of finding hidden gold depends heavily upon the power of computers. Applications of Data Mining

Data mining includes a variety of interesting applications. A few examples are listed below: * By recording the activity of shoppers in an online store, such as, over time, retailers can use knowledge of these patterns to improve the placement of items in the layout of a mail-order catalog page or Web page. * Telephone companies mine customer billing data to identify customers who spend considerably more than average on their monthly phone bill. The company can then target these customers to sell additional services. * Marketers can effectively target the wants and needs of specific consumer groups by analyzing data about customer preferences and buying patterns. * Hospitals use data mining to identify groups of people whose healthcare costs are likely to increase in the near future so that preventative steps can be taken. The purpose of DM is to analyze and understand past trends and predict future trends. By predicting future trends, business organizations can better position their products and services for financial gain. Nonprofit organizations have also achieved significant benefits from data mining, such as in the area of scientific progress. Soft wares: Weka, rapid miner, KNIME

c) Cloud computing
 CC is the use of computing resources (hardware and software) that are delivered as a service over a network (typically the Internet). The name comes from the use of a cloud-shaped symbol as an abstraction for the complex infrastructure it contains in system diagrams. Cloud computing entrusts remote services with a user's data, software and computation. There are many types of public cloud computing:

* Infrastructure as a service (IaaS)
* Platform as a service (PaaS)
* Software as a service (SaaS)
* Network as a service (NaaS)
* Storage as a service (STaaS)
* Security as a service (SECaaS)
* Data as a service (DaaS)
* Desktop as a service (DaaS - see above)
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