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Concordia University St Paul Atomicity Consistency Isolation and Durability Discussion

Concordia University St Paul Atomicity Consistency Isolation and Durability Discussion.

I’m working on a computer science question and need guidance to help me study.

No.1.by Maham Alam – Designing is the first and highly important step for a successful implementation of a database but even after carefully considering the designing aspects of building a database, there is still no guarantee that it’s going to work as perfect as an ideal database, because as they say “A well-designed database just works”, which means that even slightest of the slightest mistakes can cause problems, that are usually cumulative in nature and could cause misery to DBAs, developers and managers. Therefore, in my opinion the designing part of the database development is the most important factor in deciding a successful implementation (Davidson, 2019).With the huge developments in scope and capabilities of what customers could expect from applications, it is certainly a challenge to design a perfect database. As there are thousands of databases available that have advantages or disadvantages over the others, it becomes critical to underline some key constraints that one’s database should meet before its implementation. Some general yet crucial constrains that a good quality database should have are data safety, data security, availability, performance and scalability (Elizabeth, 2018).Data safety and security are the terms used interchangeably to highlight data protection in a database. This characteristic of a database defines that no data should be lost or put at risk at any cost. Any database that needs to be implemented must be ensured that it is free of physical and human error related data risks, moreover, the security rules of the database should be easy to set up so that if any security breach happens the DBA is notified immediately and can take care of it. For safety of the database it’s important that database should follow ACID, irrespective of its relational or non-relational characteristic. For a better available database it is highly recommended that a data cluster is used where there are multiple servers so that the database is not dependent on just one server and it has other backup servers available to ensure working of the organization in case one server goes down. Similarly for performance and scalability, even if you are feeding your database with an extraordinary amount of data, it should still be able to process it faster, hence a database should always be deployed with a decent default settings so that it recognizes any operational environment easily and adjust according to it and eventually should grow with your data and business (Elizabeth, 2018).Other than these general constraints, special attention must be given to the documentation, for it to be used as a guide for definitions of column, table, relationships, and constraints present in the particular database. Similarly DBA should not forget normalization of databases to avoid data redundancy and proper indexing to ensure a better performance and maintenance of the database after its implementation (Davidson, 2019).ReferencesDavidson, L. (2019, January 23). Ten Common Database Design Mistakes. Simple Talk. https://www.red-gate.com/simple-talk/sql/database-administration/ten-common-database-design-mistakes/ Elizabeth, J. (2018, September 26). How to overcome 5 common database challenges. JAXenter. https://jaxenter.com/overcome-5-common-database-ch…No.2.by Mouna Konidhina Database applications are generally used to store data in a file system database. There are many different types of databases. One of the most used database applications is the SQL database. SQL is a language and a database is built using these databases. It is a powerful platform for retrieving, processing, and maintaining data. This application is the primary application used.in the development of Big Data systems. Another approach is to combine the development of a new system by one or more independent participants or teams with the application development activities and the training of the system development team.In a production environment, database applications are usually used to manage and monitor processes on a computer. An application is an independent application program that processes a program or a file.High availability In database management, a system consists of a set of activities related to the production and monitoring activities in a database. These activities are executed by the database server that runs the business logic in the system. Business logic can be thought of as a series of rules and procedures and each business logic rule has to have a correspondingexecution policy and execution rules. The model is not strictly ad hoc but is intended to give an overview of several issues related to complex problem-solving. The distributed architecture makes it easy for nodes to share resources across the network and the failure of one does not impact other nodes in the distributed network. A distributed database is not restricted to just data storage but the storage network as well. For this reason, several distributed databases are currently in development. Cloud bursting has been widely used by companies and organizations to make use of more infrastructure resources (Mascari, et al., 2019).Data safety One method is to store the entire document in a database and allow the user to access the data later as needed. This technique involves an intermediary such as a search engine or any data processing program. The other method is to use specialized storage media such as hard drives that store only certain types of data. This type of storage is called transactional storage. It can be used for long-term data that requires only moderate access to the storage hardware to which it has been attached, and is used only when it is not needed. The data stored in these environments is highly available and can be easily and quickly moved and deleted. If the data is accessed outside of the organization, it is almost guaranteed that the organization’s data could be compromised by the user. The key to effective cloud deployment is the consistency of the data, in other words: where possible, the data can be reliably and reliably backed by the correct IT infrastructure (Melikhova, et al., 2019).ReferencesMascari, F., Carny, F. R. P., Liptak, L., Adorni, M., Fontanet, J., Herranz, L. E., … & Kubicek15, J. (2019). FASTNET Scenarios Database Development and Status. submitted to ERMSAR.Melikhova, E. V., Rogachev, A. F., & Skiter, N. N. (2019). Information system and database for simulation of irrigated crop growing. In Ubiquitous Computing and the Internet of Things: Prerequisites for the Development of ICT (pp. 1185-1191). Springer, Cham.No.3.by Laxmi Kirti Bachu In general, let us talk initially few points on what are the types of database models that are used by developers to build software applications. They are: Flat Model Hierarchical Model Network Model Relational Model Dimensional Model – Supporting ETL/Data Warehousing concepts. Flat model is a two-dimensional array of systems with rows related to one another. This is a scalable feature for this structure and the least possible usage is only to store texts. In hierarchical model, data is organized as a tree like structure with one-to-many relationship between parent and children. The main drawback of this model is that it can carry only one to many relationships between nodes. On the other hand, A network model is a database model which is one of the flexible approaches representing objects and their relationships. Uniqueness of this model is its schema, is represented as a graph where relationship types are arcs and object types are nodes. Next is one of the prime models- Relational data model, which is widely used around the world for data storage and processing. This model is quite simple and comes with all the capabilities and properties required to process data with storage efficiency. Last but not the least is the Dimensional Model which supports ETL/Data Warehousing concepts with huge repositories of data maintaining history.This is one of the widely used models inorder to produce data analytics with dashboards and reporting purposes (Choudhury , 2021) The best 3 data models picked by developers these days to build an efficient model are: Network,relational and dimensional.Let us understand each with an example.As we know, this model addresses the problem of flexibility which is one of the biggest advantages among simplifying concepts, conformance –to- standards and promote integrity of the databases.The disadvantages include complex structure and time inefficient.Best example is building student record management system in a school.Here one student is linked with multiple subjects or departments , student id being the key.However, even though the ease of access is great,complexity is higher (Koczkodaj). Next is the relational model which engulfs the fact that it is the one of most widely used models.As an utmost advantage is its simplicity and almost designing any kind of database management system with logical data models in tabular structures. Best examples start from any employee records management systems to ticketing systems.Best DBMS systems are: DB2/Informix Dynamic Server – IBM, Oracle,Sybase etc.It has one of the biggest disadvantages of storage which was however eventually answered by Big Data systems. Lastsly, the third one is an extension of relational model where data is managed via facts and dimensions to extract,transform and load the data from one DBMS to the other.This handles huge data structures and volumes.Example is to manage an entire organizational DBMS with all the necessary records starting from sales to financial aspects , draw them into reports to make strategic business decisions (Al-Fedaghi) References- Choudhury,(2021). Investigation of model structure strategies for the advancement of machinability database systems. Global Journal of Production Research, 34(5), 1261. Koczkodaj,(2020). Streamlining consistency of rating scales by differential development for the utilization by aggregate wise data and database systems. Diary of Intelligent and Fuzzy Systems, 37(6), 7545-7553. Al-Fedaghi, (2020,). Modeling Business Process and Events. In Computer Science On-line Conference (pp. 366-379). Springer, Cham. No.4.by Mouna Konidhina – Saturday, April 17, 2021, 9:18 PMNumber of replies: 0Traditional database processing models are designed to handle massive numbers of users in diverse locations and contexts By combining the information stored in databases with spatial data, you will be able to derive information from geographically dispersed databases that can provide answers to questions that were previously unsolved by using different levels of spatial data (Ďurech et al., 2018). Sociological Web technology is a Web technology that enables users to interact with and access information from social bookmarking, e-mail discussion boards, and bulletin boards, which are all sources of information that can be accessed by others. Inverted file modelInverted file model means in contrast to other file models, data are not stored inside the virtual machine directory and data storage is in the same directory as the application files or applications. In such a case, as the model starts with a hierarchal structure, each department, sub-unit or sub-program is made visible and can be accessed directly. This increases flexibility in the system as there are no functional boundaries between the modules/activities (Fricke&Asche, 2019). Disadvantages inverted file model restricts you to one archive per folder/drive. If one folder is full and a second folder is empty, only one archive will be generated. However, folders with duplicate data can also be duplicated with this method if the original data files (the ones containing the original) are saved to another folder. Flat modelFlat model means that we represent all the points on the map in the flat space. Hence there are some lines which can be used in the model and other lines which cannot. In this way the edges of the model get smoother. We have to consider each point on the map that we want to represent on the model (Ďurech et al., 2018).These advantages include a high level of flexibility and powerful modelling capabilities. These capabilities include the ability to model complex relationships from small to large scales, to multiple product lines, and to simulate products, process characteristics, and environmental conditions with highly accurate models.Disadvantages include the following: Degree of uncertainty the value of all possible outcomes for each person is reduced as the model gets larger. Limited sampling the number of people who can be included in the model is relatively low.Multidimensional modelMultidimensional model is a descriptive model used in business for describing process flows. It shows the process state and the possible causes for process failure with reference to the process components. A dimension is a unit dimension. Multidimensional model advantages include the following: Data and information about the object and the system can be easily extracted for analysis. Data for process modelling, including the control, can be generated. Unobtrusive and simplified multidimensional models have the advantage of reducing the effort to produce complex models(Fricke&Asche, 2019). Disadvantages include: the difficulty of defining and isolating variable dimensions the inability to explain variation associated with a single factor difficulty in linking cause and effect an absence of a consensus on cause and effect the use of multiple cause-and-effect relationships the multidimensional approach does have some advantages, however. It allows the development of a multidimensional scale which can be of real use in comparative.ReferencesĎurech, J., Hanuš, J., & Ali-Lagoa, V. (2018). Asteroid models reconstructed from the Lowell Photometric Database and WISE data. Astronomy & Astrophysics, 617, A57.Fricke, A., &Asche, H. (2019, July). Geospatial database for the generation of multidimensional virtual city models dedicated to urban analysis and decision-making. In International Conference on Computational Science and Its Applications (pp. 711-726). Springer, Cham.
Concordia University St Paul Atomicity Consistency Isolation and Durability Discussion

Cuyahoga Community College Developing OOH and Radio AD Samsung Gear VR Presentation.

5 pages of ppt* Based upon target audience, brand positioning and key consumer benefits of the product you have chosen, develop the following ads that are part of a campaign:Page 1. OOH Billboard ad – use best practices to develop this adPage 2. Explain rationale for concept for this ad, best practices they exemplify and why it will be effective to raise awareness and trigger purchase interestPage 3. Create a script for a :30 radio ad. Provide script and if possible tape of the ad and send it.Page 4. Explain rationale for this ad, which best practices you employed and why it is best copy to reach target, what is key benefit that is chosen to emphasize and why, and finally, how does it capture attention and imagination through copy only, no visual.Page 5. Provide summary or conclusion of why you developed this overall campaign creative direction and why you think it will be most effective for the target you have chosen.
Cuyahoga Community College Developing OOH and Radio AD Samsung Gear VR Presentation

Week 8 Discussion Forum No unread replies.No replies. View this TED Talk. (Links to an external site.). https://www.ted.com/talks/dr_lisa_diamond_why_the_born_this_way_argument_does_not_advance_lgbt_equality/transcriipt?language=en In

Week 8 Discussion Forum No unread replies.No replies. View this TED Talk. (Links to an external site.). https://www.ted.com/talks/dr_lisa_diamond_why_the_born_this_way_argument_does_not_advance_lgbt_equality/transcriipt?language=en In our world, we commonly think of gender as just male and female, especially when we’re categorized by things like color and clothing. It seems like we can’t even look at anything without seeing it divided into boys and girls — this is heteronormativity. But the thing is, not everyone identifies as one or the other, or expresses themselves that way. Even if someone “looks” like a guy (also evidence of heteronormativity), they may prefer to use the pronouns “she/her” — and we need to respect that by not misgendering people. Some people identify as genderfluid, which means that your identify (like male or female), can move from one side of the spectrum to the other, and some people are genderless, or identify with neither of the genders that are imposed on people. The most important thing to remember is that everyone’s gender can be unique and everyone’s gender identity, gender orientation, and gender expression is important to respect. Further, “female” and “male” even as solely biological designations still exclude some people, who are often classified as “intersex.” Intersex means that one’s anatomy or genetics does not line up with typical expectations for either male or female people. Heteronormativity would have society believe that to be intersex is to not be normal — which is simply untrue. For intersex people, doctors and parents have often decided their gender at birth and genital reconstructive surgery is performed to turn what is seen as atypical genitalia into something that is recognizably either male or female. Intersex identity also has its own spectrum, which means that anatomy for an intersex person can be entirely different for another intersex person. Answer the prompts below (be sure to answer all parts of question.) What is the difference between heterosexism and homophobia? Can people change their sexual orientation if they want to? Or are people born with their orientation? Why do researchers generally recommend using the term “sexual orientation” rather than “sexual preference”? What are your thoughts about the June 2020 Supreme Court ruling involving employees’ discrimination based on sexual orientation? How does that compare to anti-discrimination laws involving gender, ethnicity/ race? Be sure to support your ideas with research from at least one reputable/ academic source. Remember to respond to two of your classmates’ initial posts with your own opinions and ideas.

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Create a 10- to 15-slide presentation in which you:

Identify the principles of internal control.
Explain the use of cash and internal controls to prevent fraud.
Explain why corporations invest in stocks and debt securities.
Describe how debt and stock investments are reported in financial statements.
Evaluate the effects of unusual or irregular items on financial statements.

Create a 1-page handout to accompany your presentation.

Cite 3 peer-reviewed, scholarly, or similar references to support your presentation.
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case study

case study. I’m working on a Management question and need guidance to help me study.

Case Study 1:Should a Computer Grade Your Essays?
Would you like your college essays graded by a computer? Well, you just might find that happening in your next course. In April 2013, EdX, a Harvard/MIT joint venture to develop massively open online courses (MOOCs), launched an essay-scoring program. Using artificial intelligence technology, essays and short answers are immediately scored and feedback tendered, allowing students to revise, resubmit, and improve their grade as many times as necessary. The non-profit organization is offering the software free to any institution that wants to use it. From a pedagogical standpoint—if the guidance is sound—immediate feedback and the ability to directly act on it is an optimal learning environment. But while proponents trumpet automated essay grading’s superiority to students waiting days or weeks for returned papers— which they may or may not have the opportunity to revise—as well as the time-saving benefit for instructors, critics doubt that humans can be replaced.
In 2012, Les Perelman, the former director of writing at MIT, countered a paper touting the proficiency of automated essay scoring (AES) software. University of Akron College of Education dean, Mark Shermis, and co-author, data scientist Ben Hamner used AES programs from nine companies, including Pearson and McGraw-Hill, to rescore over 16,000 middle and high school essays from six different state standardized tests. Their Hewlett Foundation sponsored study found that machine scoring closely tracked human grading, and in some cases, produced a more accurate grade. Perelman, however, found that no direct statistical comparison between the human graders and the programs was performed. While Shermis concedes that regression analysis was not performed—because the software companies imposed this condition in order to allow him and Hamner to test their products—he unsurprisingly accuses Perelman of evaluating their work without performing research of his own.
Perelman has in fact conducted studies on the Electronic Essay Rater (e-rater) developed by the Educational Testing Service (ETS)—the only organization that would allow him access. The e-rater uses syntactic variety, discourse structure (like PEG) and content analysis (like IEA) and is based on natural language processing technology. It applies statistical analysis to linguistic features like argument formation and syntactic variety to determine scores, but also gives weight to vocabulary and topical content. In the month granted him, Perelman analyzed the algorithms and toyed with the e-Rater, confirming his prior critiques. The major problem with AES programs (so far) is that they cannot distinguish fact from fiction. For example, in response to an essay prompt about the causes for the steep rise in the cost of higher education, Perelman wrote that the main driver was greedy teaching assistants whose salaries were six times that of college presidents with exorbitant benefits packages including South Seas vacations, private jets, and movie contracts. He supplemented the argument with a line from Allen Ginsberg’s “Howl,” and received the top score of 6. The metrics that merited this score included overall length, paragraph length, number of words per sentence, word length, and the use of conjunctive adverbs such as “however” and “moreover.” Since computer programs cannot divine meaning, essay length is a proxy for writing fluency, conjunctive adverb use for complex thinking, and big words for vocabulary aptitude.
Program vendors such as Pearson and Vantage Learning defend these parameters, asserting that they are highly correlated. Good writers have acquired skills that enable them to write more under time constraints; they use more complex vocabulary, and they understand how to introduce, interrupt, connect, and conclude complex ideas—the jobs of conjunctive adverbs. AES programs also recognize sentence fragments and dock students for sentences that begin with “and” or “or.” However, professional writers know how to employ both to great effect. Perelman and a newly formed group of educators, Professionals Against Machine Scoring of Student Essays in High-Stakes Assessment, warn that writing instruction will be dumbed down to meet the limited and rigid metrics machines are capable of measuring.
The productivity gains from using automated essay-grading software will undoubtedly take away some of the jobs of the graders hired by the standardized test companies. Pearson, for example, ostensibly pays its graders between $40 and $60 per hour. In that hour, a grader expected to score between 20 and 30 essays—that is two to three minutes (and dollars) per essay. Clearly graders must use some type of shorthand metrics in order to score this quickly, but at least they can recognize as false the statement that on July 4, 2013, the United States observed its 2,013th birthday, even if it is contained in a well-constructed sentence. While the e-Rater can score 16,000 essays in 20 seconds, it cannot make this distinction. In addition, presumably, a 716-word essay containing multiple nonsense sentences will not receive a 6 from a human grader while a 150-word shorter, factual, well-reasoned essay scores a 5, as Perelman was able to demonstrate.
ETS, developer of the SAT, GRE, Praxis, and K-12 standardized tests for multiple states, counters that the e-Rater is not replacing human graders in high stakes tests; it is supplementing them. Essays are scored by both human and machine and when the scores do not match, a second human breaks the impasse. Furthermore, they posit that the test prep course Perelman developed to teach students how to beat AES software requires higher-order thinking skills—precisely those the tests seek to measure. Thus, if students can master Perelman’s techniques, they have likely earned their 6. Pearson adds that its Intelligent Essay Assessor is primarily a classroom tool, allowing students to revise their essays multiple times before turning them in to a teacher to be graded. However, for many states looking to introduce writing sections to their battery of K-12 standardized tests, and for those that abandoned the effort due to the cost, eliminating graders altogether will make them affordable. In addition, the stakes are not insubstantial for failure to achieve passing grades on state standardized tests, ranging from retesting, to remedial programs, to summer school, to non-promotion.
ETS, developer of the SAT, GRE, Praxis, and K-12 standardized tests for multiple states, counters that the e-Rater is not replacing human graders in high stakes tests; it is supplementing them. Essays are scored by both human and machine and when the scores do not match, a second human breaks the impasse. Furthermore, they posit that the test prep course Perelman developed to teach students how to beat AES software requires higher-order thinking skills—precisely those the tests seek to measure. Thus, if students can master Perelman’s techniques, they have likely earned their 6. Pearson adds that its Intelligent Essay Assessor is primarily a classroom tool, allowing students to revise their essays multiple times before turning them in to a teacher to be graded. However, for many states looking to introduce writing sections to their battery of K-12 standardized tests, and for those that abandoned the effort due to the cost, eliminating graders altogether will make them affordable. In addition, the stakes are not insubstantial for failure to achieve passing grades on state standardized tests, ranging from retesting, to remedial programs, to summer school, to non-promotion. In addition, that provides immediate guidance, is a welcome addition to the instructional toolbox. However, as demands on instructor’s time decrease, will university administrators push staff cutbacks to meet budgetary constraints? Will fewer and fewer instructors be teaching more and more students?
As MOOC and AES proliferate, the answer is: most likely. EdX is quickly becoming controversial in academic circles. Presently, its course offerings are free and students earn a certificate of completion, but not course credit. To become self-sustaining, however, the non-profit plans to offer its MOOC platform as a “self-service” system, which faculty members can use to develop courses specifically branded for their universities. EdX will then receive the first $50,000 in revenue generated from the course or $10,000 for a recurring course. Thereafter, revenue will be split 50-50 between the university and EdX. A second revenue-generating model offers universities “production help” with course development, charging them $250,000 for a new course and $50,000 each term the course is offered again. If a course is successful, the university receives 70% of the revenue, as long as EdX has been fully compensated for any self-service courses. However, in order to generate enough revenue to share with its 12 university partners, which now include University of California, Berkeley, Wellesley, Georgetown, and the University of Texas, a licensing model is likely. Tested at no charge at San Jose State University in 2012, an EdX MOOC served as the basis for a blended online engineering course. The enriched curriculum resulted in an increased passing rate from 60% to 91 %. If course licensing becomes the key revenue stream, Anant Agarwal, the electrical engineer president of EdX, foresees this happening in closed classrooms with limited enrollment.
But some members of the San Jose State faculty are nonetheless alarmed. When a second EdX MOOC, JusticeX, was considered, the Philosophy department sent a sharply-worded letter addressed to Harvard course developer, Michael Sandel, but actually leveled at university administrators. Asserting that the department did not have an academic problem in need of remediation and was not lacking faculty to teach its equivalent course, it did not shy from attacking the economic motives behind public universities’ embrace of MOOCs. The authors further asserted that MOOCs represented a decline in educational quality and noted the irony involved when a social justice course was the vehicle for perpetrating a social injustice—a long-term effort to “dismantle departments and replace professors.” Sandel’s conciliatory response expressed his desire to share free educational resources, his aversion to undercutting colleagues, and a call for a serious debate at both EdX and in the higher education community.
Other universities are similarly pushing back, against both EdX and other new MOOC ventures such as Coursera and Udacity, founded by Stanford faculty members. MOOCs and AES are inextricably linked. Massive online courses require automated assessment systems. In addition, both Coursera and Udacity have expressed their commitment to using them due to the value of immediate feedback. Amherst College faculty voted against joining the EdX consortium. Duke University faculty members thwarted administration attempts to join nine other universities and educational technology company 2U in a venture to develop a collection of for-credit undergraduate courses.
However, EdX was founded by two of the most prominent universities in the United States, has gathered prestigious partners, and is already shaping educational standards. Stanford, for one, has decided to get on board; it adopted the OpenEdX open-source platform and began offering a summer reading program for freshman and two public courses in the summer of 2013. Stanford will collaborate with EdX on the future development of OpenEdX and will offer both public and university classes on it.
Therefore, while Professor Perelman jokes that his former computer science major students could develop an Android app capable of spitting out formulaic essays that would get a 6 from e-Rater, cutting humans completely out of the equation, he knows that serious issues are in play. What educational outcomes will result from diminishing human interaction and input? Will AI develop to the point that truth, accuracy, effective organization, persuasiveness, argumentation and supporting evidence can be evaluated? And how many more jobs in education will disappear as a result?

Case Study 1: Should a Computer Grade Your Essays?
1)Identify the kinds of systems described in this case. (1 Mark)

2)What are the benefits of automated essay grading? What are the drawbacks? (1 Mark)

3)What management, organization, and technology factor should be considered when deciding whether to use AES? (1 Mark)
Case Study 2: American Water Keeps Data Flowing
American Water, founded in 1886, is the largest public water utility in the United States. Headquartered in Voorhees, N.J., the company employs more than 7,000 dedicated professionals who provide drinking water, wastewater and other related services to approximately 16 million people in 35 states, as well as Ontario and Manitoba, Canada. Most of American Water’s services support locally managed utility subsidiaries that are regulated by the U.S. state in which each operates as well as the federal government. American Water also owns subsidiaries that manage municipal drinking water and wastewater systems under contract and others that supply businesses and residential communities with water management products and services.
Until recently, American water’s systems and business, processes were much localized, and many of these processes were manual. Over time, this information environment became increasingly difficult to manage. Many systems were not integrated, so that running any type of report that had to provide information about more than one region was a heavily manual process. Data had to be extracted from the systems supporting each region and then combined manually to create the desired output. When the company was preparing to hold an initial public offering of its stock in 2006, its software systems could not handle the required regulatory controls, so roughly 80 percent of this work had to be performed manually. It was close to a nightmare.
Management wanted to change the company from a decentralized group of independent regional businesses into a more centralized organization with standard company-wide business processes and enterprise-wide reporting. The first step toward achieving this goal was to implement an enterprise resource planning (ERP) system designed to replace disparate systems with a single integrated software platform. The company selected SAP as its ERP system vendor.
An important step of this project was to migrate the data from American Water’s old systems to the new platform. The company’s data resided in many different systems in various formats. Each regional business maintained some of its own data in its own systems, and a portion of these data was redundant and inconsistent. For example, there were duplicate pieces of materials master data because a material might be called one thing in the company’s Missouri operation and another in its New Jersey business. These names had to be standardized so that every business unit used the same name for a piece of data. American Water’s business users had to buy into this new company-wide view of data.
Data migration entails much more than just transferring data between old and new systems. Business users need to know that data are not just a responsibility of the information systems department: the business “owns” the data. Business needs determine the rules and standards for managing the data. Therefore, it is up to business users to inventory and review all the pieces of data in their systems to determine precisely which pieces of data from the old system will be used in the new system and which data do not need to be brought over. The data also need to be reviewed to make sure they are accurate and consistent and that redundant data are eliminated.
Most likely some type of data cleansing will be required. For example, American Water had data on more than 70,000 vendors in its vendor master data file. Andrew Clarkson, American Water’s Business Intelligence Lead, asked business users to define an active vendor and to use that definition to identify which data to migrate. He also worked with various functional groups to standardize how to present address data.
One of the objectives of American Water’s data management work was to support an enterprise wide business intelligence program based on a single view of the business. An analytical system and data warehouse would be able to combine data from the SAP ERP System with data from other sources, including new customer information and enterprise asset management systems. That meant that American Water’s business users had to do a lot of thinking about the kinds of reports they wanted. The company had originally planned to have the system provide 200 reports, but later reduced that number by half. Business users were trained to generate these reports and customize them. Most financial users initially tried to create their reports using Microsoft Excel spreadsheet software. Over time, however, they learned to do the same thing using SAP Business Objects Web Intelligence tools that came with the system. SAP Business Objects Web Intelligence is a set of tools that enables business users to view, sort, and analyze business intelligence data. It includes tools for generating queries, reports and interactive dashboards.
At present, American Water is focusing on promoting the idea that data must be “clean” to be effective and has poured an incredible amount of effort into its data cleansing work—identifying incomplete, incorrect, inaccurate, and irrelevant pieces of data and then replacing, modifying, or deleting the “dirty” data. According to Clarkson, just as water treatment plants have measurements and meters to check water quality as its being treated, data management needs to ensure the quality of data at every step to make sure the final product will be genuinely useful for the company.

Case Study 2: American Water Keeps Data Flowing

How did implementing a data warehouse help American Water move toward a more centralized organization? (1 Mark)
Give some examples of problems that would have occurred at American Water if its data were not “clean”? (1 Mark)
How did American Water’s data warehouse improve operations and management decision making? (1 Mark)

case study

Discussion PICK TWO: Roles on the Healthcare Team, and Power Point.

Discussion PICK TWO: Roles on the Healthcare Team, and Power Point..

I’m working on a nursing multi-part question and need support to help me understand better.

In addition to understanding medical terminology, it is also helpful to understand the roles of the healthcare professionals. In this assignment you will research two different careers in the healthcare industry as well as exploring a specialty area.List 2 careers in healthcare and compare the education, the pay, the duties, and the job availability in a chart.Starting on page 184 in your textbook there are CASE REPORTS 1 through 10. Select one of the CASE REPORTS and READ it THEN define the terms and explore the different careers in that specialty area.RESOURCES for this Assignment:1. On page 332 in your textbook there is a list of over 30 healthcare careers with a description, education requirements.2. View the healthcare videos on “what an typical day is like” at the link below: http://www.drkit.org/careervideos/ (Links to an external site.)3. Link to US News Ranking of the best healthcare jobs: http://money.usnews.com/careers/best-jobs/rankings/best-healthcare-jobs (Links to an external site.)4. Link to information on members of the Healthcare Team: http://dcahec.gwumc.edu/education/session3/members.html—————————————————————————————————————————————————– Power Point. Purpose: The purpose of this assignment is to explore the importance of using professional communication and medical terminology and how it influences patient safety. In the presentation the student will need to verbally demonstrate rationale of how the chosen topic can be influenced by using professional communication and accurate medical terminology.Process:Reflect upon what was learned in relation to the use of professional communication and accurate medical terminology.Select a topic of interest to you that deals with safety concerns when medical terminology is not appropriately used during communication. This can be based on what you have read, experienced, or witnessed. Create a PowerPoint slide show that tells the story of a situation of why the medical terminology caused a safety concern. While there is no minimum or maximum on the number of slides, it is suggested the length should be between six and ten slides, excluding the title slide. The content should include:A list of medical terms with definitions that were a safety concern in your story.The selected safety issue story and its relevance to medical terminology.The selected safety issue story and its relevance to communication. Suggestions for how appropriate terminology could improve with situation. Using the notes feature in the PowerPoint Program, describe the information on the slide. Complete the note section using complete sentences and using proper grammar.Include pictures, websites and Organizations that represent the selected topic and the role in patient safety. Be creative!Create a vocal recording of the PowerPoint. See the Canvas course page for directions on how to create the vocal recording.A minimum of 3 credible resources from literature should be used to support your presentation. See below for what constitutes credible literature resources. The resources page should be submitted in a separate word document. APA format should be used when citing the resources. This PowerPoint assignment is worth 35 points and is weighted 20% of the final grade in this course.Credible resources: The following are general guidelines that should be followed to determine if a source is credible. While credible sources may fall outside of these guidelines, they should be used cautiously.Scholarly journalsBooks, including textbooksWeb sites that end in .gov; .edu; .ac.; or are sponsored by a credible organization such as American Nurses Association, American Psychological Association, etc.While other sources can be acceptable, use them cautiously. They may be credible if they contain:An authorA dateThe source or organization is listedDoes it include a reference list
Discussion PICK TWO: Roles on the Healthcare Team, and Power Point.

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