...Data Mining/Data Warehousing Matthew P Bartman Strayer University Ibrahim Elhag CIS 111– Intro to Relational Database Management June 9, 2013 Data Mining/Data Warehousing When it comes to technology especially in terms of storing data there are two ways that it can be done and that is through data mining and data warehousing. With each type of storage there are trends and benefits. In terms of data warehousing there are 5 key benefits one of them being that it enhance business intelligence. What this means is that business processes can be applied directly instead of things having to be done with limited information or on gut instinct. Another benefit of data warehousing is that it can also save time meaning that if a decision has to be made the data can be retrieved quickly instead of having to find data from multiple sources. Not only does data warehousing enhance business intelligence and save time but it can also enchance data quality and consistency.This is accomplished by converting all data into one common format and will make it consistent with all departments which ensures accuracy with the data as well. While these key benefits another one is that it can provide historical intelligence which means that analayze different time periods and trends to make future predictions. One other key benefit is that it provides a great return on investment. The reason being that a data warehouse generates more revenue...
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...Research Proposal Modernizing a data warehouse for business advantage Introduction Ten years ago, Data Warehousing was largely unknown. Today most organizations relay on effective warehousing concepts to analyse data in efforts to predict future trends and assist in decision making. In this increasingly competitive business environment Data Warehousing is one of the most important developments in recent Information Systems. There is a large need to acquire data, anywhere at any time, thus there is a need for a development that can facilitate data from different sources with different formats. What is Data Warehouse? “Data warehouse is the hottest tool in information systems” (W.H. Inoman, 2002). A data warehouse is capable of organizing...
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...Data mining and warehousing and its importance in the organization * Data Mining Data mining is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Data mining is primarily used today by companies with a strong consumer focus - retail, financial, communication, and marketing organizations. It enables these companies to determine relationships among internal factors such as price, product positioning, or staff skills, and external factors such as economic indicators, competition, and customer demographics. And, it enables them to determine the impact on sales, customer satisfaction, and corporate profits. Finally, it enables them to drill down into summary information to view detail transactional data. For example, “Entertainers Incorporated” is an organization which deals with entertainers for events. So the need to attract customers and communicating with them is essential. Customer satisfaction in their service is much needed for them, for the customers to approach them for the next event too. So considering all...
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...familiar with Transaction processing, Functional systems. Introduce the students to Computer Networking and to the role of IT in Supply Chain Management and Enterprise Resource Planning. Teach students Basics and Advanced MS-Excel including applications. Expose students to Data, Databases and Data-warehousing. Introduce the concept of Decision Support Systems and Management Information Systems including some of its common applications. Contents: Introduction of I.T. and fundamentals Strategic Information Systems for competitive advantage. Porters five forces model, Value chain model Introduction to Computer Networks Transaction Processing, Functional applications, CRM and integration Concepts of Supply Chain Management and Enterprise Resource Planning Microsoft Excel RDBMS and Data warehousing, Decisions Support Systems Management Information Systems Term Project Objective: Objective of this course is to help student understand: * Role of IT in organizations and the value derived from IT * Leveraging IT for competitive advantage * Common IT applications in collaborative, global Business * Usage of MS Access and MS-Excel and its application * Importance of Decision Support Systems( DSS) in business * Managing global projects and systems Text Book: Laudon Kenneth and Laudon Jane, MIS-Managing The Digital...
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...software vendor- Unitrak Software Corporation. Was it an appropriate role? Did Unitrak act responsibly? 3. How much is Kovecki to blame for this situation? 4. One of the recurring themes of this book is the importance of information systems politics. To what extent does IS politics explain the situation that has developed at the Midsouth Chamber of Commerce? 5. The case involves what appears to be a fairly routine use of information technology to support a service organization. Yet the Midsouth Chamber of Commerce encountered major problems in bringing up its new system. Is there a lesson here for organizations seeking to adopt new information technology? What is it? 6. What should Lassiter do now? Case Study 11-1- Vendor-Managed Inventory at NIBCO 1. What was the catalyst for NIBCO to develop a VMI program, and why was it able to respond? 2. Describe what types of transactions are involved in NIBCO's VMI program. 3. What types of benefits have been attributed to the VMI initiative-for both NIBCO and NIBCO's customers? 4. What new initiatives would you recommend that NIBCO pursue next to continue to take advantage of its current IT capabilities? Case Study 11-2- Real-Time Business Intelligence at Continental Airlines 1. Describe "active" data warehousing as it is applied at Continental...
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...Data Warehousing Methodologies Using a common set of attributes to determine which methodology to use in a particular data warehousing project. DATA INTEGRATION TECHNOLOGIES have experienced explosive growth in the last few years, and data warehousing has played a major role in the integration process. A data warehouse is a subjectoriented, integrated, time-variant, and nonvolatile collection of data that supports managerial decision making [4]. Data warehousing has been cited as the highest-priority post-millennium project of more than half of IT executives. A large number of data warehousing methodologies and tools are available to support the growing market. However, with so many methodologies to choose from, a major concern for many firms is which one to employ in a given data warehousing project. In this article, we review and compare several prominent data warehousing methodologies based on a common set of attributes. Online transaction processing (OLTP) systems are useful for addressing the operational data needs of a firm. However, they are not well suited for supporting decision-support queries or business questions that managers typically need to address. Such questions involve analytics including aggregation, drilldown, and slicing/dicing of data, which are best supported by online analytical processing (OLAP) systems. Data warehouses support OLAP applications by storing and maintaining data in multidimensional format. Data in an OLAP warehouse is extracted and loaded...
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...After several years of misfortune, General Motors (GM) was encouraged to file for bankruptcy. GM had really hit rock bottom. Several of their facilities closed and thousands of jobs were cut. The cause for the bankruptcy was due to years of losses, market shares decreasing, and a breathtaking drop in sales. The bankruptcy forced GM to make some major changes within the organization, (Isidore, 2009). Knowledge Management System A knowledge management system has the ability to enhance several companies, especially GM. GM is a well-known company that has been around for several years. GM can profit from several advantages by using a knowledge management system. Some of those advantages include decreasing cost by eliminating the number of times the company must continuously resolve similar issues, decrease repetition of knowledge-based activities, raise up productivity by making knowledge accessible and user friendly, encourage employee personal growth, and establish aggressive favor in the marketplace, (Delen, Sharda, Turban, 2011, pgs. 509-510). Valuation In 2000, GM was on top of the world and put together a live Knowledge Management (KM) program. Initially, GM had the best of both worlds by having 138 best practice teams and 33 centers of knowledge working collectively with recognizable subject matter experts. The KM program was an outstanding asset for GM. The KM generated over 5000 best practices that affected quality and led to millions in cost avoidance. The KM program...
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...Case: R & D Electronics Company (Case adapted from: Heitger, L.E. and Heitger, D.L. (2008)., Issues in Accounting Education, 23(2), 261-272.) The Automotive Electronic Industry R & D Electronics Company is an established manufacturer and has been designing, manufacturing, and supplying electrical supplies in various forms to the automotive industry. The worldwide market for semiconductors in the automotive electronics industry exceeds $10 billion. In addition, wireless data delivery – currently is estimated to be a $20 billion industry, and experts predict that soon 50 percent of all new cars and 90 percent of higherend models will possess telematic-capable devices. Further, many experts estimate that 30 to 40 percent of the production value of all automobiles consist of electrical products. R & D Electronics historically has invested heavily in researching and developing auto-motive electronic technology in order to provide customers with state-of-the-art functionality, safety, and performance. R&D Electronics continues its heavy investment in this research and development arena because the resulting product features quickly devolve from being “cutting edge” features that create a competitive advantage to commodities that customers regard as standard features on all automobiles. R&D Electronics has continued to upgrade its research and development and manufacturing abilities to keep pace with changing technologies. For instance, R&D Electronics designs, produces, and installs...
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...CSCI 1507 (1903) "Enterprise level data work flows and Data Warehousing" Professor Rajni Palikhey University of Northern Virginia Acknowledgement This Research Paper would not have been possible without the guidance and the help of my co-students and respected Professor who in one way or the other contributed and extended their valuable assistance in the preparation and completion of this research paper. I would to like to convey my sense of gratitude to Professor.Rajni Palikhey who helped and supported us right throughout the semester. This paper would not have been possible without her cooperation and technical assistance. We would also thank our Institution and our faculty members without whom this project would have been a distant reality. We also extend our heartfelt thanks to our family and well wishers. I would like to take this occasion to specially thank University of Northern Virginia to provide us with excellent faculty and also in supporting us getting quality education remotely. Contents SL No Title Page no 1 Abstract 5 2 Introduction to Databases 6 3 OLTP and OLAP Systems 7 4 Difference between OLTP and OLAP 9 5 Data Modeling 13 6 Workflows in Enterprise level Data warehousing 18 7 Business Intelligence tools used in Data flow and Data Warehousing 21 8 Analysis in Data warehousing 24 9 Conclusion 28 10 Foot Note 30 11 References 31 ABSTRACT These days majority...
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...A data warehouse is a subject-oriented, integrated, time-variant, nonupdateable collection of data used to support management decision-making and business intelligence (Hoffer, 2011). Business Intelligence (BI) is a term that describes a comprehensive, cohesive, and integrated set of tools and processes used to capture, collect, integrate, store and analyze data with the purpose of generating and presenting information to support decision making (Coronel, Morris, & Rob, 2013). Data Warehouse A data warehouse enables an organization to obtain the information about future trends and track customer demands. The key terms that define data warehouse are subject-oriented, integrated, time-variant, and nonupdateable. Each one has its meaning and importance in data warehousing. Subject-oriented – A data warehouse is organized around the key subjects that may include but not limited to customers, patients, students, products, and time. Integrated – The data in the data warehouse are defined using consistent naming conventions, formats, structures, and related characteristics. This means data warehouse holds one version of “the truth”. Time-variant – Data in the data warehouse contain a time dimension so they could be used to study trends and changes. Nonupdateable – Once the data gets loaded into the data warehouse, it could not be updated by the end users. Data warehousing is a process where organizations create and maintain data warehouses and extract necessary...
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...Table of Contents Executive Summary 1 I. Business objectives 3 II. IKM Strategy 5 2.1. Analytical KM Strategy 5 2.2. Asset Management KM Strategy 6 2.3. Innovation KM Strategy 6 III. IKM Activities 7 3.1. Data warehousing and mining 7 3.2. Customer Relationship Management 8 3.3. Intellectual Property 10 3.4. Knowledge Repositories 11 3.5. Community of Practice 13 3.6. Research and Development 15 IV. IKM Elements 17 V. Conclusion 19 List of References 21 Executive Summary For most contemporary enterprise, it is becoming increasingly more significant to manage knowledge, since most executives often declare that their most valuable asset is the knowledge held by their employees. Typically, almost half of all workers were making or helping to make things forty years ago while today the proportion is down to 20%, which means labor-intensive has given way to knowledge-based organizations. (Drucker, 1994; Bart, 2000) In other words, the knowledge management is unprecedentedly important in today’s society. With the clear business objective on the innovation of pharmaceutical products and diagnostics services, Roche has a strong need for a deliberate and systematic approach to reuse and innovation on the base of existing information and knowledge. Considering the current situation of Roche, three KM strategies would be chosen to sustain the concrete activities to facilitate transference and application of knowledge among employees...
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...Demand driven supply chain Over the passage of time, the concept of supply chain and planning has gained considerable need on the retail brand in the society today. It is because the two are interred twined based on the end product and the needs of the consumer. As such, most of the companies have noticed the gap that exists between supply chain and the final product given to the consumer (Mendes, 2011). Retrospectively, they have invested a great deal of manpower and resources into planning solutions to respond to the need and remain competitive in the market. The primary focus of such a move is to gain an actual picture of the visibility related to material costs across the supply chain division. To respond to this need, many service providers have come up such as Oracle and SAP. Balancing demand It is evident that even though most of the companies have developed such unique planning solutions. However, the primary question is how to balance between the demand points and to control the variability related to customer demand. At this point, the focal point is how to annihilate the needs of the customers through the supply chain to ensure efficient service delivery and quality goods. In recent times, supply chain service provider namely JDA organized their annual event referred to as Focus. They discussed a great deal about the new form of information technology solutions that companies can adopt to make the supply chain division efficient. At that point, the organizers...
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...Warehousing in theory and practice A case study at ÖoB, Clas Ohlson, Stadium, Åhlens Mahesh Kumar Rajuldevi Ranjit Veeramachaneni Sridhar Kare _______________________________________________________________________ This thesis comprises 30 ECTS credits and is a compulsory part in the Master of Science with a Major in Industrial Engineering – Logistics, 120 ECTS credits Nr. 5/2009 _______________________________________________________________________ Warehousing in theory and practice A case study at ÖoB, Clas Ohlson, Stadium, Åhlens Mahesh Kumar Rajuldevi Ranjit Veeramachaneni Sridhar Kare Master Thesis Subject Category: Series and Number: Technology Industrial Engineering: Logistics, 17/2008 University College of Borås School of Engineering SE 501 90 BORÅS Telephone: +46 033 435 4640 Examiner: Supervisor: Date: Keywords: Göran Stjernman Göran Stjernman November, 2008 Warehousing, Warehouse management systems, Retail stores, Inventory, Labour management. ii Acknowledgements The present master’s thesis work represents the essence of our achievements during the two years of study in Industrial Engineering and Logistics programme at University College of Borås, Borås. During this period there have been many people who have inspired us throughout the study period. The thesis work is concluding part of our university degree in MSc. in Industrial Engineering and Logistics. This master’s thesis was written during autumn 2008. This period was very...
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...European Journal of Operational Research, 2009, Vol 193, pp425-436 Authors: Baker P. & Canessa, M. Warehouse design: a structured approach Abstract: In spite of the importance of warehousing to the customer service and cost levels of many businesses, there is currently not a comprehensive systematic method for designing warehouses. In this paper, the current literature on the overall methodology of warehouse design is explored, together with the literature on tools and techniques used for specific areas of analysis. The general results from the literature have then been validated and refined with reference to warehouse design companies. The output is a general framework of steps, with specific tools and techniques that can be used for each step. This is intended to be of value to practitioners and to assist further research into the development of a more comprehensive methodology for warehouse design. Keywords: Facilities planning and design; Decision support models; Logistics; Warehouse design. 1 Warehouse design: a structured approach 1. Introduction Warehouses are a key aspect of modern supply chains and play a vital role in the success, or failure, of businesses today (Frazelle, 2002a). Although many companies have examined the possibilities of synchronised direct supply to customers, there are still many circumstances where this is not appropriate. This may be because the supplier lead times cannot be reduced cost effectively to the short lead times...
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...Data Warehousing Essay, Research Paper Contents 1. Introduction 2. What is a data warehouse 3. Past, Present and Future 4. Data Warehouses and Business Organisations 5. Conclusion 6. Bibliography 1.0 Introduction In recent years, data warehousing has emerged as the primary method of analysing sales and marketing data for a competitive advantage. As the number of knowledge workers using the data warehouse/data mart grows and the amount of data increases daily, performance problems have become a major concern of both the Information Systems staff and the users. Many options have been tried in an attempt to solve the performance problems – from bigger hardware to different software or database tuning and redesign using star schemas or snowflake data structures. However, all have limitations – either in functionality or in terms of cost – and their strengths are almost inevitably outstripped by users’ demands. During the past three years, data warehousing has emerged as one of the hottest trends in information technology for corporations seeking to utilise the massive amounts of data they are accumulating. Managers from all business disciplines want enterprise wide information access, as well as the ability to manipulate and analyse information that the company has gathered for a single purpose, to make more intelligent business decisions. Whether to increase customer value, identify new markets or improve the management of the firm’s assets, the data warehouse...
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