Data Mining Is A New Component In An Enterprise’s Decision Support System

Introduction
Traditionally, organizations use data tactically – to manage. For the competitive, strong organizations use data strategically – to expand operations to improve profitability, reduce costs, and market more effectively. Data mining (DM) makes information assets that an organization can use these strategic objectives.

In this article we have some important questions to officials on data mining deal. These include:
What is data mining?
It can for my organization?

Business Definition of Data Mining
Data mining is a business decision support systems is new component architecture. Query and reporting as it complements and interlocks with other DSS capabilities, on-line analytical processing, data visualization, and traditional statistical analysis. These other DSS technologies are usually retrospective. He reports, tables, and provide graphically what happened in the do we have ten percent increase in sales to reach your goals? ”

We define data mining as “hidden patterns in data-driven discovery and modeling of large amounts of data.” Data mining is different from the retrospective technologies, because this model produces models that capture and represent patterns hidden in data. There is also a user automatically to discover patterns and the model is in fact without knowing what he was looking for, you can build. Models are both descriptive as possible.

They know why things happen and probably will happen. A user can create “what – if” that can be requested directly from the database or warehouse data mining model to the questions. Examples “Which customers are likely to open a money market account, ‘or’ the customer to cancel our service fee if we introduce the” expected lifetime value of each customer account, “What?”

DM associated with information technology, neural networks, genetic algorithms, fuzzy logic, and rules induction. It is beyond the scope of this article to elaborate on these technologies. Instead, we focus on business needs and how these needs can translate into dollars for the data mining solutions.

Mapping solutions for business and profit
What data mining can do for your organization? Expansion of the company, profitability, cost, and sales and marketing: introduction, we use the data for an organization to describe the strategic opportunities. These possibilities are many cases where companies have successfully implemented through the DM to consider very specific. Let’s take one example in Social Networking.

Twitter applications such as inside a lot of people “tweets”, as stated, Linkedin is unstructured. “Tweets” updated in such applications are similar to our own thought processes. Data mining techniques in data mining is properly defined. For example, a product which color you like most in the survey included such questions? Feature that most do not like you, so on and so forth.

By writing a standard OLAP processing logic of critical business intelligence in order to obtain the required reports to offer. In this case, there is also data definition, data entry and data analysis is a considerable amount of effort spent. Tweets many unstructured information, Facebook etc. To demonstrate the challenges of a mining system that will build on both the probability and statistics will be based.


Joseph Hayden writes article on Data Extraction Services, Web Data Extraction, Website Data Extraction, Web Screen Scraping, Web Data Mining, Web Data Extraction etc..

Data Mining – Principles And Applications

What is data mining? And why is it so important in business? These are simple questions, but complex to solve, is brief information below to help understand data mining and Web services.

Data Mining in general terms can be developed as information retrieval or knowledge useful for the further process of analysis from different perspectives and summarizing valuable information to be used to increase revenue, reduce costs to competitive information about the company or product collect. And data abstraction is very important in business because the power of helping businesses harness the right information with a competitive advantage in business.

Commercial companies and businesses have their own warehouse to help gather and organize lots of information, such as transactional data, data acquisition, etc. But for mining and warehousing service is not affordable and not very effective cost of the solution for reliable solutions. But, as if making the information is the need for all businesses today. Many companies offer accurate and effective solutions for web data mining at a reasonable price.

Overview
Data mining is the crucial process of extracting implicit and potentially useful information from the data. It uses analytical techniques and visualization to explore and present information in a format that is easily understood by humans.

Data mining is widely used in a variety of profiling practices, such as fraud detection and marketing research, surveys and scientific discoveries.

In this article I will briefly some of the basic principles and applications in the real world. Here I will not go into the processes of all kinds, including data extraction and structuring of data.

The effort
Data Mining has found its application in various fields such as financial institutions, healthcare and bioinformatics, business intelligence, social networking, research and much more.

Companies use to understand consumer behavior, to the customers’ buying behavior and to analyze its marketing efforts to expand. Banks and financial institutions to use credit card fraud detection, recognizing patterns in the transactions in question are false.

The Knack
There is definitely for data mining, as it is with every other field of Web research. Therefore, it is mentioned as a trade rather than a science. A boat is the practice of a qualified professional.

One point I would make is that data mining solutions in an analytical perspective, the performance of a company based on historical data to offer, but it is sufficient to consider external events and activities unknown misleading. On the other hand, it is critical, especially for regulators such activities in advance and provide the necessary measures to ensure such events in the future.

In Closing
There are many important niches on the web research that the article does not cover. But I hope this article will give you a step to move forward on this issue, if you want to do!

I hope now you understand all the process of data mining services. And still if you don’t then please feel free to contact me at [email protected] And you can give us your data mining requirement on [email protected]


Joseph Hayden writes article on Data Scraping Services, Web Data Scraping, Website Data Scraping, Web Screen Scraping, Web Data Mining, Web Data Extraction etc.