Data Mining is a process of extraction of the
data from a data set and then transforming it into an understandable structure
for further use. It can be a process for collecting bulk data from different
sources and then combining it to form a valued information or data.
Generally, data mining is referred as the
process of analyzing data from different perspectives and summarizing it into
useful information that can be used in a beneficial way for the enterprises to
increase their revenue, cut costs, or both. Even though it is relatively a new
term, the technology is not. Companies lately have used powerful computers and
tools to separate volumes of data and analyzed the research reports for years.
However, continuous improvements in computer technology like increased processing
power, large disk storage, and implementation of the statistical software’s has
increased the accuracy of data analysis along with providing means to cut down
the cost.
Although data mining is still at the
inception stage, companies in a wide range of industries like retail, finance,
health care, transportation, manufacturing and aerospace have already started
deploying its tools and techniques in their business strategies and plans to
take advantage from the tried and tested historical data. It is being primarily
used today by companies with a strong consumer focus to determine relationships
among various internal factors such as price, product positioning, or staff
skills, and all the external factors such as economic indicators, competition,
and customer demographics. This allows them to determine the impact on sales,
customer satisfaction, and corporate profits by full access to entire
information related to all the transactions being made at their place.
As information technology has been evolving separate
transaction and analytical systems are needed for the transactions. In order to
provide a healthy cord between the two entities, data mining provides the link
or connection between them. Data Mining
San Diego software analyzes relationships and patterns in store transaction
data based on open ended user queries. It also uses pattern recognition
technologies and statistical and mathematical techniques to separate all the
warehouse information to help the analysts to identify significant facts, relationships,
trends, patterns, exceptions and anomalies that might otherwise go unnoticed in
the business operations.
Data
Mining San Diego allows users to analyze data from
many different angles, categorize it, and summarize the relationships
identified. Technically, it is the process of finding correlations or patterns
among dozens of fields in large relational databases. The process structure of this
process is not very complicated though, as it involves a number of analytical
tools for analyzing data and extraction that makes it more simplified.
Generally, it consists of
five major elements in its structure. They are as follows:
·
Extraction,
conversion, and load transaction information into the data warehouse system.
·
Store
and manage the data in a multidimensional database system.
·
Provide
data access to business analysts and information technology professionals.
·
Analyze
the data by application software and tools.
·
Present
the data in a useful format, such as a graph or table. The data are provided to
the end users in multiple formats based upon their requirement.
Many San Diego SEO Firm’s now offer such data mining services to help the businesses to
extract, transform and store data that is very much essential in the business
transactions. Today, data mining applications are available in variable sizes
that can be integrated with systems for mainframe, client/server, and PC
platforms. The San Diego SEO Firm professional’s
will provide you will complete data by carrying out all the necessary actions
like extraction, conversion, storage and more etc.
