Abstract This paper describes the business strategy of Space DataCorporation, beginning with a discussion on the initial business model and services offered by the company, a description of the product line strategy and a look at the economic model used to start the business. The paper continues with a discussion of the company's market potential, market segmentation and how the founders raised the capital to start their business. In addition, the paper touches upon the marketing strategy of the company and the technology issues the company faced.
Table of Contents:
The Nature of Entrepreneurial Management
Recognizing and Defining an Opportunity
Formulating a Business Concept
Product Line Strategy
Economic Model of the Business
Estimating Market Potential
Buyer Behavior and Market Segmentation
The Concepts of Objective, Strategies and Tactics/Types of Strategy
Resource Strategies and Leveraging
Finding Money and Raising Capital
Pro Forma Financial Statements
Valuation
Determining How Much Money is Needed
Deal Structure
Marketing Strategy and Tactics for a New Venture
Operations of the Business
Technology Issues within the Venture
Forms of Organization
Problems with Growth Strategies and Harvesting
From the Paper "Jerry first drew upon family capital, $500,000 total from family members. Board members were sought for their engineering and legal expertise to deal with government regulations regarding the technology, as well as familial loyalty and belief in the project concept, which cold keep legal and employee costs down. Overtures were made to Motorola, the international communications company that was enthused by the concept. The company continued to draw upon familial as well as corporate capital."
Tags: strategy, service-based model, segmentation financing, board members
Abstract This paper presents a case Analysis of the Carnival Corporation (based on 2001 case data) that maintains travel industry concerns (economic sluggishness, political terror, public health issues) in 2001 hold true today. The paper provides an internal analysis of Carnival Corporation including the corporation's vision, mission, objectives, goals, strategies and performance.
From the Paper Carnival Corporation at the time of this case was the industry leader. The industry however was confronting important problems related to general economic sluggishness ..."
Abstract This paper discusses the realities of a new company in the data warehousing/data services industry and the exigencies of thriving in this field. The types of database products, services and supporting infrastructure are discussed as well as business processes and market requirements. The corporation as a business entity is also discussed in terms of its use and implementation of current and emerging technologies, change management techniques and the Internet as a tool and device.
From the Paper "PanData is a data intelligence business concentrating on the data services industry: warehousing, intelligence, customer relations management (CRM) and list generation. PanData amasses data on the Retail & Foodservice Industries across the North American continent. It has over 70k unique companies in its database. The collected data consists of the following data elements: company contact information, personnel--CEO to mid-level management & buyers, trade areas, products, franchise information, parent companies, locations--geo-codes and addresses, market share information, technology related information--POS hardware/software, scanners, software systems, servers (corporate and in-store), databases/data warehouses, communications and connectivity, EDI, RFID, and Wifi. The types of data are considerable and this list is not all-inclusive. PanData envisions revenue in excess of 10m annually and this revenue is PanData's long-term goal. "
Abstract Data mining has become a very important concept today and is used by companies all over the world to increase their profits and target the right market. The paper talks about the different aspects of data mining, tools used, and future trends in data mining. Data mining benefits are discussed in detail, and an entire discussion related to the trends in data mining is presented.
1-Background
2-Introduction
3-Data Mining Growth and Tools
4-The Data Mining Process
5-Data Mining Market Place Trends
6-The Data in Data Mining and Meta Data 7-Types of Data Mining Problems
8-Privacy and Ethical Sensitivity in Data Mining Results
9-Future Prospects of Data Mining
10-Works Cited
From the Paper "Data, particularly in the vast diversity and immense quantity that it is available to modern business, was till recently almost very hard to find and understand. Yet, the comprehension of data is the most crucial step to extracting the knowledge that it contains. The scenario has drastically changed today where data is much more easily available and has become more "meaningful" with the utilization of Data Mining. Today, technology offers business managers powerful new tools for gleaning knowledge from data-the essentials of data mining. Data mining has become increasingly important to mainstream companies to become more competitive both in their workings and their customer based relationships. Data mining, as such is of great interest because it is imperative for organizations to grasp the competitive value of information contained within their data repositories. There are a number of pertinent benefits of data mining. First of all, data mining provides the tools and techniques that are essential for optimization of customer relationships. Secondly, data mining provides an automatic method of discovering patterns in data. Thirdly, but not the least, data mining tools can identify the relationships that are actually present in historical data."
Abstract The paper discusses how the many advances in data and text mining are already revolutionizing the librarian profession. The paper explores how the ability of data mining tools to extract, transfer and load (ETL) massive amounts of data at a single time, is changing how all tasks in an organization get completed.
Outline:
Executive Summary
Content Integration Is Key
Data Mining
i) Principles of Data Mining
ii) Data Mining Timeline
Data Mining Implications for Librarianship
Text Mining
i) Text Mining Timeline
ii) Data Mining versus Text Mining
iii) Mining Blogs: An Example of How Text Mining Works
Text Mining Implications for Librarianship
Conclusion
From the Paper "At the intersection of text mining, linguistic analysis, statistical analysis, and latent semantic indexing techniques (Wikipedia Latent Semantic Indexing 2006). is the future of text mining that has the power to discover and report trending in highly unstructured content. At the center of text-mining's' rapid growth is the increasing sophistication of Natural Language Processing (CRM Buyer 2005). IBM and their significant research efforts in natural language processing are well documented on their website, as are the efforts and investments Microsoft is making."
Tags: latent, semantic, indexing, clustering, hosted, applications, Island, Data, Attensity
Abstract This paper relates that the use of data mining, its adjunct technologies for text mining and the ability to interpret, analyze and create linguistic models from unstructured content is revolutionizing the concept of data mining away from being purely used for structured content in data warehouses to now encompass unstructured content found throughout organizations globally.
The paper then provides insights into various areas of data mining, and the currently high levels of growth analytics use and applications software are experiencing as a result.
Outline:
Executive Summary
Using Data Mining in Business Research
Exploring the principles of Data Mining in Business Research
Predictive Methods in Data Mining
From the Paper "A second predictive approach is called deviation detection. The purpose of this method is to discover the most significant changes in data from previously measured or median values. An example of the type of use for this predictive approach would be the development of strategies for selling tickets to frequent flyers who booked months in advance versus those that consistently book within a few weeks of their departure. A third approach to using data mining to predict future outcomes is using the classification approach, or technique. This predictive approach of classification uses a collection of records (training set) -- each record contains several attributes, one of them is the class (Ng & Han, 10). The task is to find a model for the class attribute as a function of other attributes, so, after that, previously unknown records can be assigned a very accurate class."
Abstract This paper explores the issues and history of corporate taxation. Corporations are taxed at a rate depending on their income. This paper discusses the pros and cons of dropping the corporate tax, the methods which can be used to drop or lower corporate taxes and why. The paper includes charts and statistics concerning corporate taxes.
Table of Contents
I. The Beginning of Corporate Income Tax
II. The 1986 Tax Reform Act
III. How Does Taxes Affect Business
IV. Corporate Tax Rates
V. Decline of the Corporate Income Tax
VI. Why the Wide Range Between State and Corporate Taxes
VII. How Does Corporate Tax Work with Multi-state Manufacturers?
VIII. Does the Corporate Tax Help
IX. Proposals of Corporate Income Tax
X. Need of Stimulus
XI. Future Research Concerning Corporate Taxes
XII. Conclusions
XIII. Works Cited
From the Paper "Where did the corporate income tax begin? How does it affect our economy? What is the future of the corporate income tax? Will deleting corporate income tax be the answer for the economy? What about cutting part of this tax? How does the corporate income tax help the economy? These are questions that will be answered in this paper as well as how the corporate tax is affecting our economy now.
The Beginning of Corporate Income Tax
"How the corporate tax began is an example of why tax systems can be worse than they should be and how little influence the economic profession has on government policy (Norton 2). Sometimes ideals look great when they are not that sound. Corporate taxes were used during wartime until 1909, when Congress enacted a 1 percent tax on corporation income. The rate increased until 1932 to 12.5 percent when the rate was changed to the progressive rates. Norton stated, ?Surtaxes on corporate income were added for "excess profits" during both world wars. The highest peacetime rate, 52.8 percent, was reached in the sixties? (2). "
Abstract The paper explains that data mining is a process whereby enterprises or organizations in any industry approach their respective data and databases in a more constructive and targeted manner to produce actionable business strategies. As some researchers have observed, data mining and data warehousing are becoming more prevalent because of the large quantities of data stored in various systems and the number of business decisions made based on the data.
From the Paper "Thus, data mining and data mining techniques have risen to prominence with the elevation in importance of databases and, more recently, the development of data warehouses that have changed the complexion of industry in all sectors. Data mining and data warehousing solutions have been especially important in customer relations management (CRM) and in the healthcare industries for example."
Abstract This paper describes that data structure is a way of storing data in a computer so that it can be used efficiently. The paper then goes on to describe how computers store the said data in terms of binary data presentations using Boolean logic. Furthermore, the paper describes data in the form of bits, along with converting binary data into decimals. Lastly, the paper talks about a computer's physical memory, which is based on one of two systems: (1) Random access memory (RAM), or (2) Read-only memory (ROM), and goes on to talk specifically about different coding systems.
From the Paper "Data directly supported by CPU are called primary data type or machine data type computers. CPUs also process complex data type such as string, array, text files, databases, and image data such as MP3, jpeg, and mpeg. However, 64-bit and the 128-bit use different math functions in order to maintain portability. In each case, there is a signed and unsigned integer type associated with each. Excess notation is a format that is used to represent a signed integer and represents numbers in order and at the transition point; the high-order bit is set at zero. This represents the excess number. Positive numbers are above in order, negative below (Burd 78). Zero represents the excess identifier therefore; the excess 16 notation shows the value for zero is the bit pattern for 16 that is 10000."
Tags: RAM systems, data structure, software, boolean logic, memory
Abstract This paper explores data warehousing in terms of data mining with intelligent agents such as bots and ants and clarifies the ethical dilemma posed by the use of such data.
From the Paper " Data warehousing is no longer simply a storage system for data. Today's data warehousing involves innovative technological software, automated agents known as intelligent agents robots-or bots and ants. These agents ..."
Abstract This paper considers key factors regarding data warehousing. It looks at the goal of data warehousing and the differences of data warehousing and relational databases.
From the Paper "Data warehousing is particularly popular in environments which have complex data requirements and a broad spectrum of data types contained in its database. The goal of data warehousing is to take full advantage of the power of hardware to contain large quantities of data and use the databases to manipulate that data. Although not yet implemented across all computing environments data warehousing is becoming popular as hardware becomes more powerful and cost effective..."
Tags: distributed data warehousing systems, data warehouses
Abstract This paper discusses three articles on data collection and analysis tools and their applications. This includes data mining, data warehousing and software packages used in the collection. This paper also analyzes the needs of the business upon which the correct data collection and analysis tools are selected.
From the Paper "Business today has more and more need for external consultants to use data collection and analysis tools in order to make assessment of business operations and processes. Many of the methods used today are computer-based, including software that does much of the job but still requires an able human operator to make decisions and input the correct information. Various analysts have made assessments of these methods to see how they are used and how effective they may be. Such tools are also used for analyzing performance in education, for assessing public programs, and for other tasks requiring a decision as to the value of a program or process. Bielski (2001) discusses the use of CRM, or Customer Resource Management system, which is used to track customer purchases while providing access to customer information using the computer. "
Abstract In this article, the writer critically evaluates the key success factors that corporations that are successfully managing corporate entrepreneurship programs have in common as well as which factors vary. The writer addresses the issue of how competitors to companies who have successfully put corporate entrepreneurship programs into place attempt to create comparable entrepreneurial climates and copy processes proven to be successful. Four companies who have successfully used corporate entrepreneurship programs are used as the basis of this analysis.
Outline:
Executive Summary
Introducing IBM's Emerging Business Opportunity (EBO) Unit
Nokia's Approach to Corporate Entrepreneurship
Toshiba's Unorthodox Laptop Journey
Trilogy Software and the Indian Corporate Entrepreneurship Connection
Summary
References
From the Paper "The EBO process within IBM quickly became one that had three parameters associated with project progress. These include project-based milestones, financials, and assessments of the specific business' maturity. As IBM's culture is heavily focused on metrics of performance, additional milestones included market acceptance including the number of customer pilots, customer references and design-ins, mentions by key industry analysts, product development checkpoints, internal execution, and software vendor partnerships. EBO-based initiatives also were staffed with the most senior members of the management team, and while these seasoned veterans complained they felt they were being actually demoted, in fact EBO leadership gave them the opportunity to gain a higher level of visibility than was the case before."
An assessment of the competing claims of the stockholder stakeholder approaches to corporate social responsibility, and a look at similarities and differences of each type of approach to responsibility.
2,515 words (approx. 10.1 pages), 10 sources, 2001, $ 76.95
Abstract This essay will discuss the competing claims of both the stockholder and the stakeholder approaches to corporate social responsibility. An explanation for corporate social responsibility will be provided and arguments will be put forward for similarities and differences in the stockholder and stakeholder approaches to this movement. Evidence to support these arguments will be provided throughout the essay.
From the paper:
"Before discussing the competing claims, it must be understood what is meant by the term corporate social responsibility. Corporate social responsibility is just one aspect of business ethics and has become increasingly important for companies operating in the global economy. It is a fast developing and increasingly competitive field. There is no single, commonly accepted definition of corporate social responsibility but it generally refers to the idea that businesses are accountable for the effects of their actions on the community and should seek socially and economically beneficial results. It involves operating a business in a way that meets ethical and legal standards as well as meeting public expectation. Decisions taken by managers need to satisfy the needs of the community and companies must be accountable for the way in which their results are achieved."
Abstract This paper presents the identification and analysis of corporate governance issues at Alltel corporation. It describes the company and defines elements of corporate governance. The paper concludes that the company is guilty of the appearance of inproprieties. It recommends the company should adopt a policy of not funding unregulated business operations from the earnings of regulated business operations, and eliminate the requirement for a mandatory equity position for the Board of Directors.
From the Paper "The purpose of this research is to analyze relevant corporate governance issues at Alltel Corporation. This executive summary provides description of the company as well as providing a ..."
