Supporting Companies Management and Improving their Productivity through Mining Customers Transactions

Author(s):  
Asem Omari

Selling products or services online plays an important role in the success of businesses that have a physical presence, like a retail business. For many businesses, a retail website is an effective line of communication between the businesses and their customers. Even if the business does not present all of its products and services in the website, the website may be just what the customer needs to see to choose it over a competitor. Therefore, it is important to have a successful website to serve as a sales and marketing tool to participate in meeting the core requirements of the business. Clustering and classification are two important data mining techniques that are widely used to assign customers to different categories. Those categories are used to analyze customer behavior and interestingness. In this chapter, we use clustering and classification to support web designers to have better designed retail websites. This is done during the design phase by improving the structure of the website depending on the extracted patterns in a way that makes it easy for the website’s navigator to find his target products in an efficient time, give him the opportunity to have a look at some products that may be of interest for him, and encourage him to buy more from the available products which will consequently increase the business‘s overall profit. This approach will open the eyes of business leaders to adapt new efficient technological tool that when invested in their organizations will improve the strategic goals and meet their basic requirements to be successful, productive, and competitive. The experimental work shows very promising results that can positively change the traditional techniques of the process of designing retail websites.

Data Mining ◽  
2013 ◽  
pp. 1519-1533
Author(s):  
Asem Omari

Selling products or services online plays an important role in the success of businesses that have a physical presence, like a retail business. For many businesses, a retail website is an effective line of communication between the businesses and their customers. Even if the business does not present all of its products and services in the website, the website may be just what the customer needs to see to choose it over a competitor. Therefore, it is important to have a successful website to serve as a sales and marketing tool to participate in meeting the core requirements of the business. Clustering and classification are two important data mining techniques that are widely used to assign customers to different categories. Those categories are used to analyze customer behavior and interestingness. In this chapter, we use clustering and classification to support web designers to have better designed retail websites. This is done during the design phase by improving the structure of the website depending on the extracted patterns in a way that makes it easy for the website’s navigator to find his target products in an efficient time, give him the opportunity to have a look at some products that may be of interest for him, and encourage him to buy more from the available products which will consequently increase the business’s overall profit. This approach will open the eyes of business leaders to adapt new efficient technological tool that when invested in their organizations will improve the strategic goals and meet their basic requirements to be successful, productive, and competitive. The experimental work shows very promising results that can positively change the traditional techniques of the process of designing retail websites.


Author(s):  
Martin Krzywdzinski

This chapter deals with the dependent variable of the study: consent. It analyses workplace consent in Russia and China using three indicators that refer to the core requirements of the production systems in automotive companies regarding employee behavior: first, standardized work; and second, compliance with expectations in terms of flexibility, cooperation, and a commitment to improving processes. The third indicator of consent (or the lack of it) is the absence or presence of open criticism, resistance, and labor disputes. The chapter reveals significant and unexpected differences between the Chinese and Russian sites on all three indicators. While the Chinese factories exhibit (with some variance between the companies), a relatively high level of consent, the Russian plants have problems with standardized work, the acceptance of performance expectations, and to some extent with labor disputes.


Author(s):  
Enoch O. Antwi. EdD.

Artificial intelligence (AI) is the promise of today and future businesses. Any leadership development model that ignores AI could miss out on modern business tools, technology, and resources. Though evaluations in developing business leaders present a positive relationship between AI and leadership development (Husain, 2017; Reese, 2018; Hosanagar, 2019), not many studies have been conducted in these areas. With Roomba Robots listening to social media and iRobot’s identifying customers and reaching out to them through private channels (Carr, 2011), a question arises: will AI be required to use business leadership practices in solving applicable challenges, or it will just be a marketing tool? Leadem (2017) quoted Colin Angle, iRobot’s founder, and CEO in an Entrepreneur Magazine, “I have been able to remain CEO, not because of the fact I was CEO yesterday, but because I've worked very hard to listen, learn and evolve in the seat." Developing business leaders could be rooted in AI knowledge, applicability, challenges, and solutions while paying attention to the three keywords of listening, learning, and evolving in leadership.


2012 ◽  
pp. 601-614
Author(s):  
Nikhil Chaturvedi

The roles of these external entities span across various functions of the core value chain. This chapter focuses on collaboration in the core functions like geo-sciences, engineering, production operations, supply chain, transportation & logistics, equipment maintenance, materials management, sales and marketing, and environment health and safety (EH&S) etc.


Author(s):  
Sami Akabawi ◽  
Heba Hodeeb

To compete successfully in today’s retail business arena, senior management are often demanding fast and responsive Information Systems that enable the company not only to manage its operations but to provide on-the-fly performance measurement through a variety of tools. Use of (ERP) systems have been slow in responding to these needs, despite the wealth of the internally generated business databases and reports as a consequence of functional integration. The specific nature and demands by those senior management staff require the congregation of many external data elements and use data mining techniques to provide fast discovery of performance slippages or changes in the business environment. Data Warehousing and Business Intelligence (BI) applications, evolved during the past few decades, have been implemented to respond to these needs. In this case write-up, we present how the ERP system was utilized as the backbone for use by BI tools and systems to provide Sales and Marketing units in a transnational company subsidiary in Egypt to actively respond to the demands for agile information services. The Egypt subsidiary is the HQ of the African region’s operations of several franchises and distributers of the company products, in addition to operating a beverage concentrate manufacturing plant in Egypt, which services the entire region’s beverage products needs.


2019 ◽  
Vol 33 (6) ◽  
pp. 1894-1952 ◽  
Author(s):  
Jadson Castro Gertrudes ◽  
Arthur Zimek ◽  
Jörg Sander ◽  
Ricardo J. G. B. Campello

Abstract Semi-supervised learning is drawing increasing attention in the era of big data, as the gap between the abundance of cheap, automatically collected unlabeled data and the scarcity of labeled data that are laborious and expensive to obtain is dramatically increasing. In this paper, we first introduce a unified view of density-based clustering algorithms. We then build upon this view and bridge the areas of semi-supervised clustering and classification under a common umbrella of density-based techniques. We show that there are close relations between density-based clustering algorithms and the graph-based approach for transductive classification. These relations are then used as a basis for a new framework for semi-supervised classification based on building-blocks from density-based clustering. This framework is not only efficient and effective, but it is also statistically sound. In addition, we generalize the core algorithm in our framework, HDBSCAN*, so that it can also perform semi-supervised clustering by directly taking advantage of any fraction of labeled data that may be available. Experimental results on a large collection of datasets show the advantages of the proposed approach both for semi-supervised classification as well as for semi-supervised clustering.


2020 ◽  
Vol 12 (2) ◽  
pp. 112-135
Author(s):  
Liudmila Maksimovna Samarskaia

The period between the publication of the Balfour Declaration in 1917 and League of Nations mandates official assignment to Great Britain in 1922 was not lengthy, but highly eventful. All this time England was maneuvring between the Jewish and the Arab national movements, which also gradually formed their own demands and objectives. The problem was, pursuing British interests was possible through maneuvring only, as support of just one local force was not quite strategically advantageous. Britains official commitment to the Balfour Declaration remained at the core of its policy, however it could not completely ignore the demands of the Arab polutaion of Palestine. Although there were quite a number of British administrators and imperial politicians, who were sympathetic towards the Zionist cause and thus were ready to meet their requests to a certain extent, adherence to the British Middle East interests remained crucial to them. The idea of a Jewish national home (not a state, though) in Palestine did not come into contradiction with the general policy of Great Britain in the Middle East: it was rather its integral part. At the same time implementing the Zionist project had to be in line with it: any relatively radical (from the British administrators point of view) proposals were rejected or postponed indefinitely. Towards the Arabs of Palestine Great Britain was conducting mainly declarative policy without any serious consideration of their problems and grievances, although trying to appease their demands to a certain extent. Even the Arab riots of 1920 and 1921 did not cause a serious change in the British political course in Palestine, although they did contribute to the emergence of Churchills White Paper in 1922, declaring certain concessions to the Arab national movement, which never accepted the document. At the same time British policy in general was neither pro-Zionist, nor pro-Arab: England was pursuing its long-term strategic goals in the Middle East, skillfully utilizing Zionist and Arab national movements to achieve them.


Significance Al-Qaida (AQ) and ISG use propaganda to shape public opinion, increase fear and project strength, and to affect perceptions about their strategic goals. Their media output has global reach -- through online distribution and availability in multiple languages. The higher the media profile, the greater the pressure is on decisionmakers to respond. On the surface, there is little that separates AQ and ISG propaganda: the former were pioneers in this field and the latter have emulated AQ's model and improved it. However, there are crucial differences that reflect the core issues that separate AQ and ISG: ideology, organisational composition and outlook. Impacts The quality and reach of both AQ and ISG propaganda means countermessaging campaigns will struggle to compete. However, the sheer volume of propaganda -- generated by supporters as well the groups themselves -- may confuse the overall message. Graphic depiction of torture and execution increases ISG infamy, but may rally opponents.


Author(s):  
Sami Akabawi ◽  
Heba Hodeeb

To compete successfully in today’s retail business arena, senior management are often demanding fast and responsive Information Systems that enable the company not only to manage its operations but to provide on-the-fly performance measurement through a variety of tools. Use of (ERP) systems have been slow in responding to these needs, despite the wealth of the internally generated business databases and reports as a consequence of functional integration. The specific nature and demands by those senior management staff require the congregation of many external data elements and use data mining techniques to provide fast discovery of performance slippages or changes in the business environment. Data Warehousing and Business Intelligence (BI) applications, evolved during the past few decades, have been implemented to respond to these needs. In this case write-up, we present how the ERP system was utilized as the backbone for use by BI tools and systems to provide Sales and Marketing units in a transnational company subsidiary in Egypt to actively respond to the demands for agile information services. The Egypt subsidiary is the HQ of the African region’s operations of several franchises and distributers of the company products, in addition to operating a beverage concentrate manufacturing plant in Egypt, which services the entire region’s beverage products needs.


Author(s):  
Nikhil Chaturvedi

The roles of these external entities span across various functions of the core value chain. This chapter focuses on collaboration in the core functions like geo-sciences, engineering, production operations, supply chain, transportation & logistics, equipment maintenance, materials management, sales and marketing, and environment health and safety (EH&S) etc.


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