Managers recognize that quality information is key to effective decision making. However, gathering information is only a first step in the decision process. Decision makers must also be able convert information into the knowledge needed to take reasoned action. This paper describes how predictive analysis techniques may be employed by information users to create knowledge and develop action plans. A six-step development process that leads decision makers through a natural process of exploration, discovery, prediction and action is introduced and an example of a sales / marketing application is presented
Abstract — For an online store to be successful, forecasting current purchases is essential. Owners ...
Predictive sales analysis based on previous data is crucial for organizations to make educated decis...
Today, the organizations advertise and sell their products online and offline but they face the issu...
Managers recognize that quality information is key to effective decision making. However, gathering ...
Purpose – The purpose of this paper is to provide an overview of predictive analytics, summarize how...
Purpose: The objective of this paper is to describe concepts and assumptions of predictive marketing...
Nowadays, companies have the ability to generate and continuously update a high volume ...
Abstract—The commercial enterprise agencies relies upon on information base and sales traits predict...
In the dynamic realm of modern business, the ability to predict and prepare for future sales trends ...
In the dynamic realm of modern business, the ability to predict and prepare for future sales trends ...
The aim of this study is to investigate the possibilities of using predictive analytics as a part of...
This paper is dealing with predictive modeling based on predictive analytics using computer applicat...
Abstract—Machine learning algorithms forecast the current output using historical data as input. For...
Abstract — Data mining is extraction of hidden and predictive information from huge database; it is ...
Given the significant growth in electronic commerce, firms are seeking technological innovations and...
Abstract — For an online store to be successful, forecasting current purchases is essential. Owners ...
Predictive sales analysis based on previous data is crucial for organizations to make educated decis...
Today, the organizations advertise and sell their products online and offline but they face the issu...
Managers recognize that quality information is key to effective decision making. However, gathering ...
Purpose – The purpose of this paper is to provide an overview of predictive analytics, summarize how...
Purpose: The objective of this paper is to describe concepts and assumptions of predictive marketing...
Nowadays, companies have the ability to generate and continuously update a high volume ...
Abstract—The commercial enterprise agencies relies upon on information base and sales traits predict...
In the dynamic realm of modern business, the ability to predict and prepare for future sales trends ...
In the dynamic realm of modern business, the ability to predict and prepare for future sales trends ...
The aim of this study is to investigate the possibilities of using predictive analytics as a part of...
This paper is dealing with predictive modeling based on predictive analytics using computer applicat...
Abstract—Machine learning algorithms forecast the current output using historical data as input. For...
Abstract — Data mining is extraction of hidden and predictive information from huge database; it is ...
Given the significant growth in electronic commerce, firms are seeking technological innovations and...
Abstract — For an online store to be successful, forecasting current purchases is essential. Owners ...
Predictive sales analysis based on previous data is crucial for organizations to make educated decis...
Today, the organizations advertise and sell their products online and offline but they face the issu...