Importance of Data Mining in Modern Business.
                     Importance 
of Data 
Mining in 
Modern 
Business
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What is 
Data 
Mining?
• Data mining involves discovering 
patterns in large sets of data. 
• Using methods such as statistics, 
database systems and machine 
learning, data mining enables you to 
use technology to explore large 
databases, whether automatically, 
semi-automatically or even 
manually.
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Data mining 
uses
• Data mining is used in various fields 
like research, business, marketing, 
sales, product development, 
education, and healthcare.
• When used appropriately, data 
mining provides an extreme 
advantage over competitive 
establishments 
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Advantages 
of data 
mining
• To improve the time ahead by understanding 
the present and past and make precise 
predictions about the next level
• Increase revenue
• Understand the preferences and segments of 
customers
• Acquire new customers and improve cross-
sales and up-sales
• Increase loyalty and retain customers
• Increase ROI from marketing campaign
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Why data 
mining is 
important?
• Data mining is important in 
marketing for exploring the large 
increase in the database and 
improving segmentation in the 
market. 
• The valuable insight could be 
provided by extracting and 
combining multiple data from 
various sources. 
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Business 
Intelligence 
data mining
• 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 Data Mining 
helps in decision-making.
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Application
• 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.
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Analytical 
purposes
• Data Mining has been used in 
different context but is being 
commonly used for business and 
organizational needs for analytical 
purposes.
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Data 
Analytics
• One of the uses of data mining 
services is for analytical purposes 
where a lot of manual jobs are done 
in collecting information and 
assessing data which is looked in for 
more details. 
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Productivity 
& Efficiency
• Data mining allows the organization 
to see repetitive patterns and trends 
which can help the business 
evaluate the behavior of information 
stored. 
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Metrics & 
Reports
• There are sophisticated and 
advanced methods for data mining 
process which include sales reports, 
metrics and web analytics. 
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