Contingent Workforce Planning at Motorola, Inc Case Study

Contingent Workforce Planning at Motorola, Inc - Case Study Example It is evidently clear from the discussion that a company where contingent workers are responsible for the usual staff and form inter-corporate culture comes up. This significantly results in increased activity and contingent labor influence, which leads to the insecurity of the employment relationship. Despite the Motorola is an international company working in more than 70 countries worldwide, it is affected by the same human resource problems. The modern companies use contingent workers. Initially, the company’s human resource system was based on the transactional relationships between different staffing and recruiting firms. The firms were responsible for the staff selection and making contracts in the market. Consequently, this approach had many problems that related to a lack of coordination and staff management. There was also a lack of common corporate contingent labor plan sourcing, a disparity between the contingent workers pay rate and that of the company’s fu ll-time workers and high costs of sourcing. Among the Motorola Company’s problems, there are two main ones: the first one is associated with the company’s business activities cycle. This required a certain degree of flexibility of the staff’s number. The second problem relates to the high cost of the previous staff recruitment scheme, which involved a great number of staffing companies and agencies. There are some facts that affect the problems and issues at the Motorola Company. Recruitment of contingent employees is a modern tendency in big companies and Motorola is a no exception. The trend of hiring temporary workers has reasons, and as earlier mentioned, this trend is due to the cynical nature of the industry. This requires the flexibility of staffing.

Data Warehouse Design and Implementation Research Paper

Data Warehouse Design and Implementation - Research Paper Example Additionally, the online analytical processing systems offer a technique to produce ad-hoc queries beside the data-warehouse in an attempt to respond to significant business questions. In the same way, data mining offers a wide variety of techniques and algorithms for finding knowledge in a huge bulk of corporate data. In addition, in order to develop a data warehouse system, we need to put into operation a reliable technology structure where corporate operational data can be managed effectively with real and enterprise-wide aspects and to get into reorganization of a handful application policies to offer a high quality system. However, the implementation and design of a data warehouse system has occasionally been a very big challenge in theory as well as in practice (Charles, 2010; Turban, Leidner, McLean, & Wetherbe, 2005; Olamendy, 2010). This paper discusses some of the important aspects related to the design and implementation of a data warehouse system. The basic purpose of thi s research is to investigate some of the important aspects such as theories, initiatives, models and techniques for better and improved data warehouse system design and implementations. Introduction A data warehouse is normally recognized as an integrated and time-varying set of information and data that is basically used for strategic decision making through OLAP (online analytical processing) methods. ... this perspective, however hardly any technique exists to date for applying similar methods from an operational database (Charles, 2010; Husemann, Lechtenborger, & Vossen, 2000; Laudon & Laudon, 1999; Inmon, 2002). Without a doubt, there are many standards and methods to implement and design a relational data model for a business system which are flexible to design and implement data warehouse technology based modeling, however they cannot be employed as a natural method, consequently data warehouse development modeling is novel regulation that is improving with the passage of time. Basically, the starting point for the design and development of the data-warehouse environment is the data model. In absence data model, the implementation of a data warehouse is almost impossible. In this scenario, the data model works like a roadmap for technology based system development (Charles, 2010; Husemann, Lechtenborger, & Vossen, 2000; Laudon & Laudon, 1999; Inmon, 2002). Moreover, in order to d evelop a data warehouse system, we need to form a reliable technology based environment where organization’s operational data will be maintained effectively in an enterprise and integrated view and to get into recognition a handful accomplishment policy to offer a high quality system. However, the implementation and design of a data warehouse system frequently is a very complex issue in theory as well as practice (Charles, 2010). This paper will present a detailed analysis of data warehouse design and implementation. This research will cover some of the major aspects that need to be considered while designing implementing models of the data warehouse. Data Warehouse Design This section discusses some of the approaches and methods those can be adopted for the data warehouse design which