Importance of Data Mining in today’s business world
by: Scott
Total views: 122
Word Count: 483
What is Data Mining? Well, it can be defined as the process
of getting hidden information from the piles of databases for analysis
purposes. Data Mining is also known as Knowledge Discovery in Databases (KDD). It
is nothing but extraction of data from large databases for some specialized
work.
Data Mining is largely used in several applications such as
understanding consumer research marketing, product analysis, demand and supply
analysis, e-commerce, investment trend in stocks & real estates, telecommunications
and so on. Data Mining is based on mathematical algorithm and analytical skills
to drive the desired results from the huge database collection.
Data Mining has great importance in today’s highly
competitive business environment. A new concept of Business Intelligence data
mining has evolved now, which is widely used by leading corporate houses to
stay ahead of their competitors. Business Intelligence (BI) can help in
providing latest information and used for competition analysis, market
research, economical trends, consume behavior, industry research, geographical
information analysis and so on. Business Intelligence Data Mining helps in
decision-making.
Data Mining applications are widely used in direct
marketing, health industry, e-commerce, customer relationship management (CRM),
FMCG industry, telecommunication industry and financial sector. Data mining is
available in various forms like text mining, web mining, audio & video data
mining, pictorial data mining, relational databases, and social networks data
mining.
Data mining, however, is a crucial process and requires lots
of time and patience in collecting desired data due to complexity and of the
databases. This could also be possible that you need to look for help from
outsourcing companies. These outsourcing companies are specialized in
extracting or mining the data, filtering it and then keeping them in order for
analysis. Data Mining has been used in different context but is being commonly
used for business and organizational needs for analytical purposes
Usually data mining requires lots of manual job such as
collecting information, assessing data, using internet to look for more details
etc. The second option is to make software that will scan the internet to find
relevant details and information. Software option could be the best for data
mining as this will save tremendous amount of time and labor. Some of the
popular data mining software programs available are Connexor Machines, Free
Text Software Technologies, Megaputer Text Analyst, SAS Text Miner, LexiQuest, WordStat,
Lextek Profiling Engine.
However, this could be possible that you won’t get
appropriate software which will be suitable for your work or finding the
suitable programmer would also be difficult or they may charge hefty amount for
their services. Even if you are using the best software, you will still need
human help in completion of projects. In that case, outsourcing data mining job
will be advisable.
About the Author
Scott Naxton is a
freelance journalist having experience of many years writing articles and news
releases on businesses like outsourcing, internet marketing, health and
insurance. He is also associated with <a
href="http://www.kpoasia.com">KPO</a>, <a href=http://www.kpoasia.com.>Outsourcing</a>
and <a href="http://www.kpoasia.com">knowledge process
outsourcing</a>
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