An Approach for Environment Vitiation Analysis and Prediction Using Data Mining and Business Intelligence

2019 ◽  
pp. 327-338
Author(s):  
Shubhangi Tirpude ◽  
Aarti Karandikar ◽  
Rashmi Welekar
Keyword(s):  
Data Mining ◽  
Business Intelligence ◽  
Using Data

Expanding Business Intelligence Power with System Dynamics

2011 ◽  
pp. 126-140 ◽  
Author(s):  
Edilberto Casado
Keyword(s):  
Data Mining ◽  
System Dynamics ◽  
Real World ◽  
Business Intelligence ◽  
Simulation And Modeling ◽  
Business World ◽  
Data Mining Techniques ◽  
Business Dynamics ◽  
Using Data ◽  
Systems Thinking Approach

This chapter explores the opportunities to expand the forecasting and business understanding capabilities of Business Intelligence (BI) tools with the support of the system dynamics approach. System dynamics tools can enhance the insights provided by BI applications — specifically by using data-mining techniques, through simulation and modeling of real world under a “systems thinking” approach, improving forecasts, and contributing to a better understanding of the business dynamics of any organization. Since there is not enough diffusion and understanding in the business world about system dynamics concepts and advantages, this chapter is intended to motivate further research and the development of better and more powerful applications for BI.

Introduction to Data Mining and its Applications to Manufacturing

2008 ◽  
pp. 146-168 ◽  
Author(s):  
Jose D. Montero
Keyword(s):  
Data Mining ◽  
Quality Improvement ◽  
Statistical Methods ◽  
Business Intelligence ◽  
Computational Intelligence ◽  
Data Warehousing ◽  
Great Promise ◽  
Main Stream ◽  
Manufacturing Companies ◽  
Using Data

This chapter provides a brief introduction to data mining, the data mining process, and its applications to manufacturing. Several examples are provided to illustrate how data mining, a key area of computational intelligence, offers a great promise to manufacturing companies. It also covers a brief overview of data warehousing as a strategic resource for quality improvement and as a major enabler for data mining applications. Although data mining has been used extensively in several industries, in manufacturing its use is more limited and new. The examples published in the literature of using data mining in manufacturing promise a bright future for a broader expansion of data mining and business intelligence in general into manufacturing. The author believes that data mining will become a main stream application in manufacturing and it will enhance the analytical capabilities in the organization beyond what is offered and used today from statistical methods.

Introduction to Data Mining and its Applications to Manufacturing

2011 ◽  
pp. 144-166
Author(s):  
Jose D. Montero
Keyword(s):  
Data Mining ◽  
Quality Improvement ◽  
Statistical Methods ◽  
Business Intelligence ◽  
Computational Intelligence ◽  
Data Warehousing ◽  
Great Promise ◽  
Main Stream ◽  
Manufacturing Companies ◽  
Using Data

This chapter provides a brief introduction to data mining, the data mining process, and its applications to manufacturing. Several examples are provided to illustrate how data mining, a key area of computational intelligence, offers a great promise to manufacturing companies. It also covers a brief overview of data warehousing as a strategic resource for quality improvement and as a major enabler for data mining applications. Although data mining has been used extensively in several industries, in manufacturing its use is more limited and new. The examples published in the literature of using data mining in manufacturing promise a bright future for a broader expansion of data mining and business intelligence in general into manufacturing. The author believes that data mining will become a main stream application in manufacturing and it will enhance the analytical capabilities in the organization beyond what is offered and used today from statistical methods.

scholarly journals Business Intelligence using Data Mining Techniques for Salon Industry

2019 ◽  
Vol 8 (4) ◽  
pp. 343-347
Keyword(s):  
Data Mining ◽  
Business Intelligence ◽  
Strategic Marketing ◽  
Marketing Activity ◽  
Business Growth ◽  
Use Of Resources ◽  
Tactical Decision ◽  
Using Data ◽  
Effective Use

Data Mining has many application areas. One such application area is in Salon Industry. This paper presents the aims to harnessing the power of information to support marketing and management decisions, in Salon Industry. A group of salons data was collected, analyzed and its impact on business growth and decisions. This case study used a collage of the existing datamining techniques to aid the Salon industry to augment the business expansion, tactical decision making, and strategic marketing activity using the mined knowledge to understand customers, products and effective use of resources. This work gives an idea of the vast opportunity for growth in the beauty sector using data mining, to impact the managers and investors.

Sign in / Sign up

Export Citation Format

Share Document