Data mining techniques help companies, particularly in banking, telecommunications, insurance, and retail marketing, build accurate customer profiles based on customer behavior. Analyzing large amounts of customer data stored in data warehouses allows companies to better understand customers and make data-driven decisions in competitive environments.

1. Data mining techniques help companies particularly banking, telecommunication, insurance
and retail marketing to build accurate customer profile based on customer behavior. Thus, it
is becoming a necessity in this competitive environment to analyze the data from data
warehouse containing hundreds of gigabytes or terabytes of data
ExplainingQuestion
Data mining is at the heart of analytics efforts
across a variety of industries and disciplines.
Such as: communications, insurance, Banking,
Retails, Educations, Manufacturing
Who's using it?
Data mining is the process of finding anomalies,
patterns and correlations within large data sets
to predict outcomes.
What?
Data mining is a process used by companies to
turn raw data into useful information. By using
software to look for patterns in large batches of
data, businesses can learn more about their
customers and develop more effective marketing
strategies as well as increase salesand decrease
costs.
Where?
to discover patterns and relationships in the
data in order to help make better business
decisions. Data mining can help spot sales
trends, develop smarter marketing campaigns,
and accurately predict customer loyalty.
When?
Data mining allows you to:
 Sift through all the chaotic and repetitive
noise in your data.
 Understand what is relevant and then
make good use of that information to
assess likely outcomes.
 Accelerate the pace of making informed
decisions.
Why?
Data mining, as a composite discipline,
represents a variety of methods or techniques
used in different analytic capabilities that
address a gamut of organizational needs, ask
different types of questions and use varying
levels of human input or rules to arrive at a
decision.
How?