Knowledge Management and Information Strategy Coursework

Knowledge Management and Information Strategy - Coursework Example A review of literature on the factors that influence success and failure of Knowledge Management Systems (KMS) implementation projects is conducted. This is followed by a summary of the crucial managerial and technological factors that support a successful performance of KMS implementation project. To understand this issue better, the paper derives qualitative data on National Thermal Power Corporation (NTPC) related to the subject matter. NTPC is an Indian power generation company and it is one example of firms that have implemented KMS recently. Content analysis is applied on the data and a detailed outline of the implementation approach undertaken by this company is given. The challenges encountered during the process, the technology adopted and the benefits derived from the project are also examined. The analysis of this company finds that the KMS project has encountered numerous challenges and its return to the company can be termed as average. It emerged that some of the challe nges have emerged from failure to incorporate some of the crucial factors in the implementation process such as the use of motivational aids. The company needs to incorporate all crucial factors in the implementation process and to find strategies to minimize or overcome the challenges in order to increase value of the project. With the rapidly changing business world organizations are finding it necessary to leverage on KM in a way that any new knowledge is shared across the organization and stored for future use. The concept has gained prominence since the mid 1990s following the work of Peter Drucker. Knowledge is being viewed as a key resource in business for economic growth by developing a competitive edge. Fernandez and Sabherwal (2010, p. 56) defined KM as doing what is needed to get the most out of knowledge resources. KM involves enhancing knowledge creation and sharing it within organization and

Discussion on Business Organization Essay Example | Topics and Well Written Essays - 1000 words

Discussion on Business Organization - Essay Example This market leadership may relate to pricing innovation, product innovation, new forms of promotion, development of new market segments, or initiating a new trend in the market. Quite often such market leaders may not be large organizations, but more innovative smaller organizations, like Dyson in vacuum cleaners; or organizations with better expertise, like specialized accounting firms or those with more talent and competencies, like Stella McCartney in fashion designing. Simon, 2009, p.29, terms such smaller organizations as â€Å"hidden champions†. These â€Å"hidden champions†, reframe the definition of market leadership to â€Å"market leadership not only in terms of market share, but see it as an extended claim to overall leadership in their markets† (Simon, 2009, p.29). Table – 1 below gives the advantages and disadvantages of market leadership. ... Compounding the contribution of these factors to problems in identifying market leadership is the issue that some organizations, do not concentrate on achieving leadership by merely market share. They may to look to acquiring leadership in other aspects, like asset leadership, which gives them a boost towards taking over market leadership. Asset concentration may be in terms of competencies of the employees, or superior equipment or strength in distribution channels. Identifying market leadership thus becomes a more difficult endeavour (Pickton & Masterson, 2010, p.40). Following in the path laid out by a market leader are the organizations that may be called market followers. Market followers identify and keep a track of the successful ideas and strategies employed by market leaders. This does not imply that they follow a me-too product design and promotion strategy. Rather, the strategy employed is to allow the market leader to employ resources in testing their innovative ideas and strategies, and then cash in by employing the successful innovative ideas and strategies themselves. This can be seen from the example of the competitors of McDonald’s in the 1990’s waiting for McDonald to identify locations for its outlets, using its resources, before moving into the location as a competitor. It is these market followers that need to identify the market leaders, so as to copy their successful innovative ideas and strategies (Pickton & Masterson, 2010, p.39). 2. The EC Unfair Commercial Practices Directive and the German Act against Unfair competition define unfair competition as â€Å"unfair commercial practices that are likely to distort the economic behaviour of consumers† (De

Principles of Management Essay Topics

Principles of Management Essay TopicsThe principles of management essay topics are often the very thing that is cited by many different career counselors. These issues are often fundamental to the process of applying to college or university as well as even passing the entrance exam. That being said, if you've ever wondered what would be on this list then you have come to the right place.Now that you've gotten the idea, lets look at what exactly these principles of management are. First off, they are three primary ideas: Informing the right decisions - these are sometimes called the three M's, the 'man' in 'Management' The 'Me' in 'Matter' The 'Me' in 'Management' These are important because they allow for the proper leadership and decision making skills of the individual to be applied and used. If you are being asked to assume a more direct and hands on role, then the importance of these principles of management essay topics become very important. Without them, your overall success can easily be negated.Now that you've got an idea, lets take a look at the ideal types of essays. These are generally broken down into three categories; Historical essays, Criticism, and Writing. Here are some examples of each:Historical essays are basically the work of someone who has been involved in the organization he/she is writing about. They may be aimed at highlighting a particular event, success or failure, the accomplishments of a certain person or perhaps it may simply be a personal view of that person. Some examples of historical essays that fall under this category are:Criticism is where you critique something. For example, you are writing about a certain product and the editor of the product review you write. This is usually a chance for you to express your views as well as being able to make yourself more interesting. There are many different types of criticism essays, and here are some examples of them:Writing is similar to Criticism except you are not speaking. For example, you are trying to write an essay and you are not speaking. This type of essay is often used in order to support a thesis or perspective or give another perspective on an issue.These principles of management essay topics are simply there for all students to see and make use of. They are essentially great ways to let your mind really be entertained as well as to express your opinions. The first one is usually for the personal, while the last one is for the business.

Private Info About Scientific Topics for Research Paper Only the Pros Know Exist

Private Info About Scientific Topics for Research Paper Only the Pros Know Exist Brainstorming activities might provide help. With these research suggestions for college students, you are going to be able to compose a brilliant academic paper. Research papers are trying, but in addition they have the capacity to be somewhat rewarding. Social aspects of distinct diseases. When you're given the chance to choose the topic for your paper, you can delight in the benefit of writing about something you find interesting. At length, it's time to get started writing. If you're able to pick a topic that is applicable to your life, you will see that you are better focused on completing the job. Even if a particular research paper topic is getting lots of buzz at the moment or other folks seem interested in writing about it, don't feel tempted to make it your topic if you don't genuinely have some kind of interest in it also. Vital Pieces of Scientific Topics for Research Paper During your course, you are going to have to run into a great deal of theories and models, that you want to implement in your assignments. In any case, you may select some theoretical biology issues which have a wide application in actual life. All the topics are free of charge and students may acquire an idea from the list given below. In some instances, students simply devise the study and imagine the potential results that may occur. Remember that your principal purpose is to understand the requirement of the topic. In science-related matters, you will need to make certain that your focus is slanted scientifically. Optical physics and its changing dimensions in the realm of technology. Grow a productive research strategy at this time. The Hidden Secret of Scientific Topics for Research Paper Science research topics need to have a purpose and the total purpose ought to be to add something scholastic to academia. When tackling science research topics, it's excellent to learn the length of time the research paper might be and what time needs to be asked to start and finish the research paper. A great Science research paper should be correctly structured. Writing a great argumentative research paper in science demands the presentation of a fantastic topic. If you are assigned with writing of a biology essay and you've got complete liberty in selecting biology essay topics, you're a lucky student. Whatever you require, our expert writers can help you. Our science ethics topic suggestions can be utilized to create unique suggestions for your own research papers. Locate a preferred science and choose a theme you like more. Obviously, you might pick merely a single book, plenty of them deserve an exclusive research. You want to get a topic that has a lot of available material for you to use. At first you ought not relate to a single source only. You're going to need easily available sources, online, for example. You're able to be extended a topic to write on or you may be given the choice to decide on a topic for your science research paper. For some students, a collection of topic is the easiest part. In case the topic is too narrow, you might find it difficult to get the appropriate literature. Not all research paper topics a re made equal, and you would like to make certain you opt for a terrific topic before you commence writing. Open any book you want, and you'll have a significant number of linguistics essay topics. To begin with, be certain you're an authority in the topic and aware of the recent literature on the subject you've got in mind. Put simply, you've got to choose acute and intriguing topics that readers will highly evaluate. There are many interesting biology essay topics to select from. Type of Scientific Topics for Research Paper Deciding on a topic, you're interested in will signify you will delight in writing the research paper and eventually produce high-quality content. Locating a solid topic is just one of the main steps when writing any sort of paper. The outline is always about summarizing all of your personal thoughts and observation causes a paragraph or more. Selecting a topic for a research paper isn't easy in any respect. Scientific documents appear to be an extremely dull job. Before you commence writing a single word of your paper, you first will need to understand what your thesis will be. Professional and academic journals are also an extraordinary place to locate materials for a critique paper.

The Unusual Details Regarding Easy College Research Paper Topics Most People Do Not Know About

The Unusual Details Regarding Easy College Research Paper Topics Most People Do Not Know About To get accepted in college, you might have to submit the very best admission essay. Finishing college assignments isn't an easy job. Should you need professional help to deal with all the pressure at college, you've come to the proper place. Joining college is a huge step along the best way to realize your targets and dreams. Choose several topics which you find interesting and brainstorm. Choosing one of our suggested topics will enable you to start writing a thriving research paper. After the topic is chosen, it would be helpful to make an outline so you could see whether you have sufficient information for good-structured research paper. You are able to write about such topics as-is, modify them, or simply utilize them to secure you in the correct mindset to produce your own topic. A superb paper topic needs to be interesting and ought to incorporate an original idea or position try to prevent cliche topics which will likely bore your reader. When picking your research paper topic, you should make certain it is neither boring nor worn out. If the subject of your term paper is easy and familiar to you, the practice of writing shouldn't be difficult. Even if a specific research paper topic is getting plenty of buzz at this time or other folks seem interested in writing about it, don't feel tempted to make it your topic if you don't genuinely have some type of interest in it also. During the initial two decades of college, the faculty is probably going to assign general topics for research rather than certain topics. If you are bewildered about deciding on a topic for research paper, you have to first seek advice from your college faculty members. To compose a strong argumentative essay, students should start by familiarizing themselves with a number of the common, and frequently conflicting, positions on the research topic so they can write an educated paper. Often, they find it difficult to choose the right topic for their research. If you're writing about social problems, you will typically be writing about the way the topic affects larger groups of people, including how poverty affects a whole generation. Obviously, you ought to make sure the particular treatment that you're giving the essay topic is interesting if not controversial. To approach the paper with at least anxiety, you should choose a topic that you are feeling comfortable writing about, and one which you're confident you can grasp the appropriate scholarship on. When you pick a research topic, make certain it is one which you understand and have a firm grasp on. In the last year of college, research paper topics need to be more specific and the research needs to be in-depth. Research papers are trying, but in addition they have the capacity to be somewhat rewarding. A research paper may be an intriguing task since it provides you with a chance to find out more about a subject that you might not have known as much about before. The more you fully grasp the simpler it's for you to compose a thriving research paper. You have to write a minumum of one research paper in a semester for a lot of the subjects. Political and International Problems Being a part of the particular country in addition to a responsible citizen, the pupils need to be conscious of the problems connected with their state. It's possible to find more information about students' term papers here. Students can also locate some research based topics on food in the particular list below. Finding a title is not simply necessary, but nevertheless, it will also offer you some guidance once it is time to formulate the outline for your research paper. Your topic has to be clear and understandable.

A Data Warehouse Appliance Can Have a Huge Positive Impact on Businesses and Organizations Essay Example for Free

A Data Warehouse Appliance Can Have a Huge Positive Impact on Businesses and Organizations Essay Businesses and organizations of all sizes are becoming increasingly dependent on data analytics, and data warehouses or business analytic infrastructure has become a business critical application for many (if not most) companies. Indeed, these companies have always searched for better ways to understand their customers, and anticipate their needs. They have longed to improve the speed and accuracy of operational decision-making. Equally important as timeliness is the depth of the data analysis. Generally, the companies want to decipher all secrets hidden within the massive amounts of ever-increasing data. A data warehouse appliance, which is an integrated collection of hardware and software designed for a specific purpose typically involving the high throughput of data and analytic functions, can be used by organizations to optimize various areas of data processing. Its main intent is to supplant conventional business intelligence functions, such as warehousing, extract-transform-load (ETL), analysis and reporting. Due to its cost-effectiveness and efficiency, the data warehouse appliance has become an important segment of the data warehousing market. In this paper, I will examine the data warehouse appliances and describe its positive impact on business enterprises. Introduction Since introduced in the early 1990s, data warehouse (DW) has proven to be the key platform for strategic and tactical decision support systems in the competitive business environment today. See more: Analysis of Starbucks coffee company employees essay It has become a major technology for building data management infrastructure, and resulted in many benefits for various organizations, including providing â€Å"a single version of the truth, better data analysis and time savings for users, reductions in head count, facilitation of the development of new applications, better data, and support for customer-focused business strategies† (Rahman, 2007). The technology has become extremely important in an environment where increasing competition, unpredictable market fluctuations, and changing regulatory environments are putting pressure on business organizations. Data warehouses are also becoming the central repositories of organization/company information for data, which is obtained from a variety of operational data sources. Business applications will find data warehouses more beneficial and rely on them as the main source of information as they progress. These applications are able to perform all sorts of data analysis, with increasing customer demands for having the most up-to-date information available in data warehouses. Improving data freshness within short time frames is essential to meeting such demands. According to Hong et al, virtually all Fortune 1000 companies, today, have data warehouses, and many medium and small sized firms are developing them. The desire to improve decision-making and organizational performance is the fundamental business driver behind data warehouses. DW help managers easily discover problems and opportunities sooner, and widen the scope of their analysis. Hong also mentions that data warehouse is user-driven, meaning that users are allowed to be in control of the data and will have the responsibility of determining and finding the data they need. But however, the data warehouses have to be designed and evaluated from the user perspective in order to motivate users to be responsible for finding the data they need. Data warehouse is said to be â€Å"one of the most powerful decision-support tools to have emerged in the last decade† (Ramamurthy, 2008). They are developed by firms to help managers answer important business questions which require analytics including data slicing and dicing, pivoting, drill-downs, roll-ups and aggregations. And these analytics are best supported by online-analytical processing (OLAP) tools. A data warehouse appliance, which is the main topic of discussion in this research, is referred to as an integrated collection of hardware and software designed for specific purposes involving the high throughput of data and analytic functions. Data warehouse appliance has become an important segment of the data warehousing market, due to its cost-effectiveness and efficiency. A business or organization can use a data warehouse appliance to optimize various areas of data processing. In general, the main purpose of the DW appliance is to supplant conventional business intelligence (BI) functions including warehousing, extract, transform, load (ETL), analysis, and reporting. A data warehouse appliance can have a huge positive impact on a business enterprise. Large organizations are able to staff their data warehouse more efficiently, while assisting mid-level companies in solving business intelligence challenges. Data warehouse is fundamentally changing the way the businesses operate, as they are increasingly adopted across various companies. The purpose of this paper is to present the data warehouse appliances and how they impact businesses and organizations. In the next sections, I present a brief overview of data warehousing and the current state of BI, then I define and discuss DW appliances including its benefits, after which I describe the positive impact of DW appliances on businesses. Data Warehousing A data warehouse can basically be defined a subject-oriented, integrated, non-volatile, and time-variant collection of data in support of managements decisions. Unlike the on-line transaction processing (OLTP) database systems, data warehouses are organized around subjects storing historical/summarized data for business requirement purposes. According to O’Brien and Marakas, a data warehouse is a central source of data which have been cleaned, transformed and cataloged so they are usable by managers/business professionals for data mining, online analytical processing, market research, and decision support. These stored data are usually extracted from various operational, external, and other database management system of an organization. DW can be sub-divided into data marts, holding subsets of data from the warehouse that focus on specific aspects, such as department, of a company. In general all data warehouse systems comprises of the following layers; data source, data extraction, staging area, ETL, data storage, data logic, data presentation, metadata, and system operations layer. But the four major components include the multi-dimensional database, ETL, OLAP, and metadata. The dimensional database applies the concept of standard star-schema including dimension and fact tables, hierarchies for drill-down, role models, aggregates and snow flaking. It optimizes database design for better performance. The ETL process involves the extraction, transformation and loading of data with appropriate ETL tools. Data integration is one of the most important aspects of data warehouse, whereby data is extracted from multiple heterogeneous source systems and placed in a staging area where it is cleaned, transformed, pruned, reformatted, standardized, combined, and summarized before loading into the warehouse. OLAP (online analytical processing) tool provides the front-end analytical capabilities including slice and dice, drill up, drill down, drill across, pivoting, and trend analysis across time. And metadata stores information (or data) about the data in the warehouse system. The components of a complete data warehouse architectural system are illustrated in Figure 1 below. Figure 1 An important characteristic about the data in a data warehouse is that they are static, unlike a typical database with constant changes. Once the data are gathered up, formatted for storage, and stored in the data warehouse, they will never change. The restriction is such that complex patterns or historical trends can be searched for, and analyzed, by queries. Data warehouses are also non-volatile in the sense that end-users cannot update the data directly, thereby being able to maintain a history of the data. A major use of the data warehouse databases is data mining, in which the data are analyzed to reveal hidden patterns and trends in historical business activity. Such analysis could be used to help managers make decisions about strategic changes in business operations in order to gain competitive advantages in the marketplace. Data warehousing is a relatively new technology that â€Å"brings the vision of an entirely new (customer-centric) way of conducting business to reality†, and can provide â€Å"environments promising a revolution in organizational creativity and innovation† (Ramamurthy, 2008). Ramamurthy also mentioned that data warehouse generally serves as an IT infrastructure technology, focused on data architecture, as it provides a foundation for integrating a diverse set of internal and external data sources, enabling enterprise-wide data access and sharing, enforcing data quality standards, providing answers to business questions, and promoting strategic thinking through CRM, data mining, and other front-end BI applications. Users of the data warehouses are from virtually every business unit, amongst which information systems, marketing and sales, finance, production and operations, are the heaviest users. Current State of Business Intelligence Business Intelligence are computer based techniques used in identifying, extracting and analyzing business data. Sales revenue by products, department, time, region or income are such examples. The BI technologies provide historical, current and predictive views of business operations. Some common functions of BI technologies include reporting, online analytical processing, analytics, data mining, text-mining and predictive analytics. As BI aims to support better business decision-making, they can also be referred to as a decision support system. BI applications often use data gathered from data warehouses or data marts, however, not all BI applications require a data warehouse. With sources from Wikipedia, business intelligence can be applied to business purposes in order to drive business value. Amongst these business purposes include measurement, analytics, reporting, collaboration, and knowledge management. BI is widely used today, mainly to describe analytic applications. According to Watson, BI is currently the top-most priority of many chief information officers. In a survey of 1,400 CIOs, from Gartner Group, it was discovered that BI projects were the number one technology priority for 2007. Watson further informs that the BI is a process which basically consists of two primary activities; â€Å"getting data in and getting data out†. Getting data in, also referred to as data ware housing, delivers limited value to a business enterprise. Organizations realize the full value of data from data warehouses only when users and applications access the data and use it to make decisions. Getting data out receives the most attention, as it consists of business users/applications accessing data from DW to perform enterprise reporting, OLAP, querying and analytics. The business intelligence framework is depicted in figure 2. Current BI infrastructure is a patchwork of hardware, software and storage that is growing ever more complex. Figure 2 – BI framework BI is continuing to evolve, and several recent developments are generating widespread interest, including real-time BI, business performance management, and pervasive BI. Data Warehousing Appliance A data warehouse is developed to support a broad range of organizational tasks. It can be referred to as an organized collection of large amounts of structured data, designed and intended to support decision making in organizations. The import of information and knowledge from a data warehouse is a complex process that requires understanding of the logical schema structure and the underlying business environment. According to Hinshaw, a data warehouse appliance, applied to business intelligence, â€Å"is a machine capable of retrieving valuable decision-aiding intelligence from terabytes of data in seconds or minutes versus hours or days†. The appliances represent the difference between decision-making using either stale data or the freshest information possible. With sources from Wikipedia, a more standard definition of the data warehouse appliance is an integrated collection of hardware and software designed for a specific purpose that typically involves the high throughput of data and analytic functions. It typically consists of integrated set of servers, operating systems, data storage facilities, database management systems (DBMS), and software that is pre-installed and pre-optimized for data warehousing. DW appliances provide solutions for the mid-to-large volume data warehouse market, offering low-cost performance usually on data volumes within the terabyte range. Due to its cost-effectiveness and efficiency, the data warehouse appliance has become a critical segment of the data warehousing market. A business or an organization can use a data warehouse appliance to optimize various areas of data processing. The main purpose of a DW appliance, in general, is to supplant conventional business intelligence functions, such as warehousing, extract, transform, load (ETL), analysis, and reporting. A true DW appliance is defined as one that does not require fine-tuning, indexing, partitioning, or aggregating, whereas, some other DW appliances use languages such as SQL to facilitate interaction with the appliance at a database request level. With reference to Wikipedia, most data warehouse appliance vendors use massive parallel processing (MPP) architectures to provide high query performance and platform scalability. The MPP architectures consist of independent processors or servers executing in parallel, implementing a â€Å"shared nothing architecture† which provides an effective way to combine multiple nodes within a highly parallel environment. A DW appliance is capable of deploying up to thousands of query processing nodes in one ppliance package, compared to traditional solutions where the cost and complexity of each additional node prevents a high level of hardware parallelism. Leveraging fully integrated data warehouse architecture, a data warehouse appliance can deliver a significant performance advantage, performing up to 100 times faster than general-purpose data warehousing systems. Maturation With reference to Hinshaw, data warehouse appliance is specifically designed for the streaming workload of business intelligence and is built based on commodity components. It integrates hardware, DBMS and storage into one opaque device and combines the best elements of SMP and massively parallel processing (MPP) approaches into one that allows a query to be processed in the best possible optimized way. A data warehouse appliance is fully compatible with existing BI applications, tools and data, through standard interfaces. It is simple to use and has an extremely low cost of ownership. The development of standardized interfaces, protocols and functionality is one of the most important trends in BI. In comparison to about a decade ago, there are a wealth of tools and applications using these standardized interfaces including MicroStrategy, Business Objects, Cognos, SAS and SPSS. And these are coupled with ETL tools having standardized interfaces such as Ab Initio, Ascential and Informatica. The appliances work seamlessly with these tools and other in-house applications. A data warehouse appliance is truly scalable. The bottlenecks are the speeds of the internal buses, internal networks, and disk transfer in BI, whereas in transactional workloads, scalability is limited primarily by CPU. Reliability, which is provided by the homogenous nature of an appliance – all parts of the system coming from a vendor, is also critical. A data warehouse appliance also provides simplicity for the administrators, in that it allows administrators spend a more productive time in troubleshooting complex database systems. And DBAs can be deployed to assist end users doing real-time BI. A data warehouse appliance offers the lowest cost of ownership as it has one source and one vendor, thereby reducing costs associated with support. Businesses and organizations will run more efficiently with the simple, efficient solution provided by a data warehouse appliance. Benefits Data warehouse appliances provide freedom to the business user. With patch-work systems, users are limited in the queries they can run due to the time required to run them. And with the time required to run a complex query reduced to seconds, users can not only run their old analysis with more iterations, but have the time to devise and run entirely new sets of analysis on granular data. With sources from Wikipedia, some researched benefits of DW appliance are briefly discussed as follows; Reduction in costs – As a data warehouse grows, the total cost of ownership of the data warehouse consists of initial entry costs, maintenance costs, and the cost of changing capacity. DW appliances offer low entry and maintenance cost. Parallel performance – DW appliances provide a compelling price/performance ratio. The vendors use several distribution and partitioning methods to provide parallel performance. With high performance on highly granular data, DW appliances can address analytics that could previously not meet performance requirements. Reduced Administration – DW appliances can provide a single vendor solution, taking ownership for optimizing the parts and software within the appliance, thereby eliminating the customers costs for integration and regression testing of the DBMS, OS and storage on a terabyte scale. DW appliance reduces administration via automated space-allocation, reduced index-maintenance and reduced tuning and performance analysis. Scalability – DW appliances scale for both capacity and performance. In massive parallel processing architectures, adding servers increases performance as well as capacity. Built-in high availability – Massive parallel processing DW appliance vendors provide built-in high availability via redundancy on components within the appliance. Warm-standby servers, dual networks, dual power-supplies, disk mirroring with fail-over and solutions for server failure are offered by many. Increasingly, business analytics are expected to be used to improve the current cycle, and DW appliances provide quick implementations without the need for regression and integration testing. Also, DW appliances provide solutions for many analytic application uses. Some of these applications include; enterprise data warehousing, super-sized sandboxes isolating power users with resource intensive queries, pilot projects, off-loading projects from the enterprise data warehouse, applications with specific performance or loading requirements, data marts that have outgrown their present environment, turnkey data warehouses, solutions for applications with high data growth and high performance requirements, and applications needing data warehouse encryption. Impact of Data Warehouse Appliances on Businesses and Organization Demand for data warehouse appliances is increasing, and businesses taking advantage of the benefits of this hardware range from a world-wide large-scale business to the smallest individual business. Data virtualization could be a useful partner to appliances, providing a single view of information across multiple appliances. Data virtualization is also useful because it provides a stable reporting layer during normal migration exercises, such as the circumstances during addition of data warehouse appliances to the information infrastructure. As businesses today continue to process extremely large volumes of data, there is always the need to keep data warehousing costs under control while ensuring a superior BI and application performance. Scalability, flexibility, and affordability are essential requirements for designing an infrastructure capable of supporting next-generation BI performance. When asked why the demand for data warehouse appliance is increasing, during an interview, Robert Eve (executive vice president of marketing for Composite Software Inc. ) stated that it is the confluence of three primary drivers at the macro level. The first is â€Å"the well-reported information explosion, and the technical challenges involved in making this information accessible in forms that business decision-makers can easily use†. Secondly, data warehouse appliances are more affordable and appealing, as the costs per terabyte and for support are coming down. And finally, recent advancements in analytics technology, notably in predictive analytics, promise to concur with the massive data volumes. Data warehouse appliances offer numerous advantages some of which are similar to benefits. Amongst the advantages include; more reporting and analytical capabilities – data warehouse appliance are able to handle bigger and more complex query workload, if it executes queries, Cost reductions – data warehouse appliance requires a minimal amount of tuning and optimization of the database server and database design. It is also able to run most queries with a quick speed, Flexibility – it will be easier to implement new user requests if less tuning and optimization is needed. With other database servers, a new query might lead to quite a number of technical changes, such as creating and dropping indexes, repartitioning tables, etc. Sometimes, decision is made not to implement the new request at all, due to the overwhelming work. The need for these additional technical changes is less with a data warehouse appliance. Data warehouse appliances helps support impressive BI deployments. With reference to Hinshaw, real world application examples of the positive impact of DW appliance on businesses are discussed. The rapid growth of call detail records, in the telecommunications industry, creates an imposing amount of data, which makes it difficult for companies to quickly and efficiently analyze customer and call plan information. And traditional approaches have been inefficient in processing queries on even a months data, seriously hampering an organizations ability to perform trend analysis to reduce customer churn and generate timely reports. However, with a DW appliance, the telecom user can analyze customer activity down to the call detail record level over a full years worth of detailed data. Another industry where data warehouse appliances have begun to prove their worth, and are poised to play a bigger role in the future, is the retail. Hinshaw states that Brick-and-mortar and online retailers are capturing great amounts of customer transaction and supply chain information, creating a data explosion that threatens to overwhelm an average retail organization and its current IT infrastructure. But data warehouse appliances enable these retailers to manage and analyze the terabytes of information in near-real time. They are able to use the information to effectively forecast buying patterns, quickly generate targeted promotions and optimize their inventory and supply chain. Business intelligence remains the foundation for the success of decision making in any company. And BI, itself, relies on the underlying database architecture. Eve also presents other real world examples of positive business impact among a broad range of industries. A leading worldwide convenience foods business uses data warehouse appliances and analytic applications to acquire major business benefits in two specific areas. One of which the company optimizes its international network of delivery routes, making the system more efficient and ensuring timely delivery of its products. Secondly, it continuously refines its merchandizing mix daily, on a retail basis, in order to maximize sales and margins. Major League Baseball captures information about every pitch, at-bat, and fielding play within a data warehouse appliance, using this data to predict players’ future on-field performance. This can help teams to evaluate current and free-agent talent, refine coaching and development methods, and determine salaries, hence maximizing their wins. Also, a global freight, transportation, and logistics company uses data warehouse appliances to identify behavioral patterns that indicate potential dissatisfaction within its existing customer base. The customer care group then proactively takes steps to improve satisfaction before they lose their customers. Currently, smaller data warehouse appliance vendors seem to be focusing on adding functionality to their products in order to compete with the mega-vendors. However, it is anticipated that all appliance vendors will be impacted by the trend toward an inexpensive, high-performance, and scalable virtualized data warehouse implementations which use regular hardware and open source software. Conclusion In general, data warehouse appliance is a combination hardware and software product specifically designed for analytical processing. In a traditional data warehouse implementation, the database administrator can spend a significant amount of time tuning and putting structures around the data to get the database to perform well for large sets of users. But with a data warehouse appliance, it is the vendor who is responsible for simplifying the physical database design layer and making sure that the software is tuned for the hardware. In this research, a comprehensive examination/review of the data warehouse appliances, their benefits, and how they positively impact businesses and organizations, was presented. Based on this research, the negative impact of DW appliances on businesses are negligible compared to its positive impact. And there is an increasing demand for DW appliances. I believe that, in the near future, the DW appliances will become the sole platform for all business intelligence applications and requirements. I gained much knowledge and insights from researching this topic, and I intend to further my research on future impacts of DW appliance on businesses.

Building Our Future, One Student At a Time :: Education Teaching Teachers Essays

Building Our Future, One Student At a Time There have been many influences on my life. Some have been positive and some have been negative. But, the biggest influence on my life was luckily a very positive one in the form of numerous caring, motivated, intelligent people. You may ask who these people were. They were simply my teachers, and they are the main reason for my career decision. I am in full agreement with Rousseau in his belief that we are all born innocent. That we are neither good nor evil, but rather the environment in which we are influences this. That is why being a good teacher is important. I really and truly feel that the greatest influences on a child, aside from their parents, are their teachers. These are the people that teach children the knowledge and skills that they will use most in life. For example, they teach students how to read, how to do mathematics, how to analyze information, and how to apply the things that they have learned to their everyday lives. Teachers are around the student, in some instances, more than the parents. Therefore, the teacher’s impact on the student is tremendously great. Teachers have to be a number of things all rolled up into one neat package. First and foremost, teachers must be great role models for their students. The teachers have to be role models not just in their words, but also in their actions. If there is one thing I’ve learned from being in different school settings and around numerous children it is that children are very observant. They notice all the little things that you don’t even realize you are doing. So, if you are doing the things you are trying to instill into the children, you establish a trust with them and they see that these aren’t just words that you speak, but they are actually things that you know, believe in, and above all else practice in your own life. This constant role model status also helps you be a better person as you mold the lives of our future. Teachers also have to be disciplinarians. They have to set boundaries and rules for the students and enforce them without a drop of prejudice.