Potential Impacts of Data Mining on the Clothing Industry

Running head: UNDERSTANDING THE DIGITAL REVOLUTION
The potential impacts of data mining
On the clothing industry
Name of the Student
Name of the University
Author Note

1
UNDERSTANDING THE DIGITAL REVOLUTION
Part 1: Research
The main aim of the report is to identify the potential impact that arises with the use of
data mining in clothing industry. The main reason behind using data mining process is that it
offers a huge set of data that are used for identifying the insights associated with the vision of
data. With the help of data mining it is expected that the system will be able to have an effective
way of decision making process. Data mining helps in gathering the requirements effectively by
understanding the needs of the system. The data mining concept plays a major role in managing
the activities. The data mining concept helps in understanding the performance of the
organization. Data mining has earned a huge importance in the clothing industry as it offers an
effective way of managing the tasks with the use of business intelligence. Data mining mainly
focuses on collecting huge amount of data that can be analyzed for a variety of formats. This
helps in improving the operations, reduces the cost incorporated in the development process and
also ensures an effective decision is made with the help of the process. This allows the business
to collect a huge amount of data that has the potential to enhance the business performance. Thus
it can be stated that with the help of data mining it becomes easy to manage the activities that are
taking place within the clothing industry. The other processes which include in data mining are,
 Data Integration
 Data Cleaning
 Data Transformation
 Pattern Evaluation
 Data Presentation

2
UNDERSTANDING THE DIGITAL REVOLUTION
Part 2: Brainstorming
The brainstorming process is referred to the group activity that is being conducted for the
purpose of identifying the specific problems that are gathered for the purpose of evaluating the
process. While brainstorming on an idea it becomes essential to create a group that will be able
to meet the needs of the present generation. After this process there is a need to present the
problems so that it becomes easy to define the problems. The system will also provide an
effective guide for the purpose of supporting the users. With the help of brainstorming it is
expected that the user will be able to develop an effective solutions. By implementing data
mining within the clothing industry it is expected that the production will increase and will also
provide better support towards the clothing industry.
The data mining method has gained a huge importance in other industries also. Data
mining has gained a huge importance in healthcare industry and ensures a better way of
improving the health care system. This mainly uses data analytics for the purpose of identifying
the best practices that has the potential to improve the healthcare facility that is provided towards
the patients. Data mining has also gained huge importance in market basket analysis as it offers a
modeling technique for the purpose of understanding the behavior possessed by the buyers. The
information related to the buyers is stored within a system that helps in analyzing the trait
possessed by the users. The manufacturing industry has also implemented the data mining
concept for the purpose of enhancing the relationship between the architecture and products of
the manufacturing industry.
The brainstorming methodology makes it easy determine the possible consequences that
are likely to come along with the implementation of data mining in the clothing industry. The
clothing industry will earn huge profits with the use of data mining technology. This makes the