Wednesday, May 6, 2020

Business Intelligence Using Big Data for Growing Opportunities

Question: Discuss about the Business Intelligence Using Big Data for Growing Opportunities. Answer: Introduction Big Data is one of the fastest growing opportunities that are generating huge revenue of multibillion dollar (Wang et al. 2014). From different studies it had been found that the use case requires special combination of hardware and software services to have an effective effect of the technology (DeLyser and Sui 2013). The big data is the newly evolved technology and it is highly customable according to the needs of the industry. The report discusses about the analysis and application of big data in the health care industry. For the analysis the difference between online and offline big data is analyzed and different strategies adopted for selecting the right application that would suit the health care industry. The outcomes that are expected by the health care industry and the technologies that are involved in the big data solutions are also discussed. Lastly the impact of big data on the organization is discussed in the report. Difference between online and Offline Data Big data is the technology and initiative that includes the data that is diverse in nature or changing at a rapid rate. Big data is related with the creation of data, retrieval, analysis and storage which is notable in terms of velocity, variety and volume (Chen et al. 2014). The new technologies developed had made it possible to take in value from Big data e.g: the clicks of the user can be tracked in the ecommerce websites to identify the behavior of the user and improve the service of the website, pricing and stocks. The big data technologies can be of two types: Online Big data, and Offline Big data Online Big data Offline Big data Online Big Data systems offer operational competency for real-time and interactive workloads. Data is ingested and stored with no lag in time over online database servers (Sagiroglu and Sinanc 2013). Examples of online big data applications include real time advertising server, social networking news feeds, analytics tools and Customer Relationship Management tools. Offline Big Data systems include analytical capabilities for retrospective, sophisticated analyses that can load most of the data. Hadoop is an example of an Offline Big Data technology. Strategy to select right Big Data application The big data service is required to be chosen according to the need of the organization i.e. the according to the amount of data generated. The data can be used efficiently once the needs of the business organization are clearly understood (George et al. 2014). So it is essential to have a proper analysis on the current business process and select the right application best fitted for the business. The chosen application must be scalable and it should be capable of handling many types of data (Groves et al. 2013). The data of an organization goes on increasing day by day and thus the chosen application should give the option of further expansion to the storage space for organization (Letouz 2013). It should be noted that the performance of the application should not hamper after expanding the database. The application chosen should be open to handle a wide variety of data whether structured or unstructured in format. The security provide by the application should also be noted, the m ost of the products available in the market provides security in their own way but it is essential that the application must provide security from end to end. The data should be protected during its usage via online application and analysis. From the analysis it is found that the application of Hadoop would be best for the healthcare industry. Listed desired outcome from Big Data Solution Information investigation in health care is a blend of clinical development and innovation together. As the hospital industry is consistently creating a lot of information in various structures, it is verging on difficult to deal with this information over delicate or printed copy positions (Wu et al. 2014). According to the present trend there is a requirement to digitization the expanding information. Driven by obligatory prerequisites, the present era favors "Information Analytics". The Hadoop system underpins an extensive variety of social insurance capacities to enhance administrations and tackle issues in medicinal services segment (Murdoch and Detsky 2013). It is best suited for handling terabytes and petabytes of information, as a consequence of which, information examination gets to be less demanding. The analysis of the data in the healthcare industry can be utilized to bring the measures up such as: General Health: By breaking down the pattern of the disease of the patients and analyzing the records of sickness flare-ups, general health issues can be enhanced with examination approach (George et al. 2014). Extensive measure of information can decide needs, offer required administrations and foresee and keep the future emergencies to advantage the populace. Electronic Medical Record or EMR: The EMR consists of the standard data that are related with the health condition of the patients and the data can be evaluated using the approach of data analytic that helps in predicting the risk associated with the patients health and provide him effective treatment. Analysis of the patient record: the patient records can be analyzed with advanced analytical methods that would help the patient to identify the disease and the lifestyle the patient should follow. Genomic Analytics: This approach can be used to include the Genomic analysis as a regular process in the medical care system (Groves et al. 2013). Fraud Analysis: The insurance claim that is fraud can be analyzed and thus the fraud case can be curtailed down. The abuse, waste and fraud of the insurance can also be reduced. Safety monitoring: The large volume of fast data in the hospitals can be analyzed in real time and thus increasing the safety of the data and reducing harmful even prediction. Discussion on Technologies used in Big data solutions The topic Big data is vast and consists of new technology and trends and is constantly evolving at a rapid rate. Some of the technologies related with the big data are discussed below: Column-oriented databases- the row oriented database is the best suited for the online transactions because the update speed of the database in this method is much higher. This method may lack in performing the query if there in an increase in the volume of the data and the data becomes unstructured (Fan et al. 2014). But in case of column oriented database system the data are stored in the database keeping focus on the columns and thus works on huge volume of data without reducing the execution time. On the other hand it is much slower in updating the database. Schema-less databases, or NoSQL databases- Several types of database like key value store, document store that have main focus on the storage and recovery of large amount of data falls in this category (Wu et al. 2014). The performance of the database is increased by solving the restrictions such as consistency of reading and writing, scalability and distribution that are associated with the traditional database systems. MapReduce- This technology uses programming approach and is used to execute among thousands of database servers. The Map Reduce process consists of two tasks. The map task converts the input data into different types of value or key pairs. The reduce task combines the tuples and reduces the output of the map. Storage Technologies- There is an increase in the growth of the volume of the data and thus an effective storage technique is needed to handle the vast datasets (Minelli et al. 2012). There is an evolution in the data storage applying the technique of compression and virtualization of data. Sky tree- It is a data analytic and machine learning platform that have focus on handling Big data. It is very useful because it uses machine learning platform which is essential to explore the massive volumes of data and manual exploration or automatic exploration process is much expensive if used to handle large volume of data. Hadoop is an open source platform and works on the Map reduce technology. Hadoop is efficient to work using multiple data sources and process large scale of data (Lohr 2012). It is flexible to work with different application where the data are constantly changing such as social media, traffic sensor data etc. SQL like bridge can be used in hadoop to make BI applications query in the Hadoop cluster (Fan and Bifet 2013). Hadoop requires a high level knowledge of the developer for the implementation of MapReduce technology. The websites can explore and use the user information to provide real time response to the user such as recommendation, personalization and taking decision (Riggins and Wamba 2015). Several web analysis tools work on Hadoop and this technique is called Wibidata. Business impact of Big Data Deploying Hadoop in the health care industry would have a positive impact on the business like Optimized customer service and treatment- using the patient data available from different hospitals and policlinics the patients can be benefited and the healthcare organization can plan faster to provide the appropriate treatment (Letouz 2013). Save money through accurate data- the data analyzed would be accurate and thus can avoid mistakes, delays and miscalculations and the here the application of Hadoop can improve the accuracy and quality of the data (Fan and Bifet 2013). Better treatment based on analysis of data- The application of Hadoop would facilitate research into specific topics where a huge volume of data is available. Improve position by providing quality and services- the current position of the health care organization can be seen and it would increase the treatment speed and success rate of each treatment and also help in researching on a typical disease (Chen and Zhang 2014). Optimization of the insurance through treatment analysis- The client information regarding insurances can be analyzed for providing treatments of medical institutions and thus most effective treatment and use the data to save money can be applied in the treatment process. Organizational impact of Big Data Hadoop have a large potential to contribute in different areas of the Health care industry. At the moment there are some good initiatives, but this is not good enough to keep up with the demand of the healthcare services and the rising costs (Chen and Zhang 2014). Relative improvements can be: Electronic health records (EMR/ HER, or EPD) which serves the patient. Structuring data and information for service optimization. Accurate information about the patients can reduce mistakes Cost optimization through efficiency of new e-health system services Increased customer satisfaction Analysis of big data sets for RD purposes Utilizing huge information is both a mechanical and vital issue. Other than cost adequacy the social insurance division needs to accomplish enhancements in blending information from numerous sources. Gaining knowledge from their information would change the way they interface with the patients, contenders and the business sector through information driven basic leadership (Fan and Bifet 2013). However the healthcare industry would not accomplish the critical worth accessible from Hadoop without radical changes in controls and framework wide incentives. Accomplishing those progressions would be troublesome yet the potential prize is great to the point that the medicinal services officials and the strategy creators ought not disregard these open doors (Riggins and Wamba 2015). Huge commitments can be normal from information mining and investigation. Conclusion The report states the application of Big data in the health care environment. The big data have opened an attractive job opportunity and it acts as a technology driver and increase in investment in the service. But it is a new technology and is still in the development stage and has rumors that the business which adopted the technology earlier has faced lots of problem adopting the technology. The difference of online and offline data is discussed in the report and the right application is chosen for the application of big data in the health care industry. The technologies available in Hadoop that can be utilized in the health care industry are also discussed in the report. The impact of the application on the health care industry and the management of the process that would help the organization are also discussed in the report. References Chen, C.P. and Zhang, C.Y., 2014. Data-intensive applications, challenges, techniques and technologies: A survey on Big Data.Information Sciences,275, pp.314-347. Chen, H., Chiang, R.H. and Storey, V.C., 2012. Business Intelligence and Analytics: From Big Data to Big Impact.MIS quarterly,36(4), pp.1165-1188. Chen, M., Mao, S. and Liu, Y., 2014. Big data: a survey.Mobile Networks and Applications,19(2), pp.171-209. DeLyser, D. and Sui, D., 2013. Crossing the qualitative-quantitative divide II Inventive approaches to big data, mobile methods, and rhythmanalysis.Progress in Human Geography,37(2), pp.293-305. Fan, J., Han, F. and Liu, H., 2014. Challenges of big data analysis. National science review, 1(2), pp.293-314. Fan, W. and Bifet, A., 2013. Mining big data: current status, and forecast to the future.ACM sIGKDD Explorations Newsletter,14(2), pp.1-5. George, G., Haas, M.R. and Pentland, A., 2014. Big data and management.Academy of Management Journal,57(2), pp.321-326. Groves, P., Kayyali, B., Knott, D. and Van Kuiken, S., 2013. The big datarevolution in healthcare. McKinsey Quarterly, 2. Letouz, E., 2013. Big Data for Development.Retrieved April,2(2013), p.14. Lohr, S., 2012. The age of big data. New York Times, 11. Minelli, M., Chambers, M. and Dhiraj, A., 2012. Big data, big analytics: emerging business intelligence and analytic trends for today's businesses. John Wiley Sons. Murdoch, T.B. and Detsky, A.S., 2013. The inevitable application of big data to health care.Jama,309(13), pp.1351-1352. Riggins, F.J. and Wamba, S.F., 2015, January. Research directions on the adoption, usage, and impact of the internet of things through the use of big data analytics. In System Sciences (HICSS), 2015 48th Hawaii International Conference on (pp. 1531-1540). IEEE. Sagiroglu, S. and Sinanc, D., 2013, May. Big data: A review. InCollaboration Technologies and Systems (CTS), 2013 International Conference on(pp. 42-47). IEEE. Wang, L., Zhan, J., Luo, C., Zhu, Y., Yang, Q., He, Y., Gao, W., Jia, Z., Shi, Y., Zhang, S. and Zheng, C., 2014, February. Bigdatabench: A big data benchmark suite from internet services. In2014 IEEE 20th International Symposium on High Performance Computer Architecture (HPCA)(pp. 488-499). IEEE. Wu, X., Zhu, X., Wu, G.Q. and Ding, W., 2014. Data mining with big data.IEEE transactions on knowledge and data engineering,26(1), pp.97-107.

Friday, May 1, 2020

First Nations Education in Saskatchewan free essay sample

Examines the advantages and disadvantages of First Nations education in Canada. This paper discusses the issue whether First Nations should have total control over their education in Saskatchewan and Canada. The author examines the advantages and disadvantages of having First Nations teach, guide, and overlook all of the aspects in each First Nations students school career. First Nations education is based on traditional values, which put together the principles of wholeness, order, balance, and respect for the spiritual and natural world. They are taught to love and live in Mother Nature and what she brings to everyones lifestyle. First Nations students have the right to develop programs and services of the highest quality. They should have the same opportunities as each and every other student in Saskatchewan and Canada towards their future in this world. First Nations communities, parents, Elders, and teachers expect high quality education and academic skills from their students. We will write a custom essay sample on First Nations Education in Saskatchewan or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page

Saturday, March 21, 2020

Sam Menedes Essays - Theatre, British People, English People

Sam Menedes Director. Born August 1, 1965, in Redding, England. Raised by his mother, an author of children's books, after his parents' divorce, Mendes grew up in north London. He attended Cambridge University, graduating in 1987. After graduation, he got a low-level job at the Chichester Festival Theater. When a veteran director dropped out of a production of London Assurance, the 23-year-old Mendes was asked to step in. The production became a hit, and soon moved to Haymarket's Theatre Royal. Mendes's second effort, The Cherry Orchard, starring Dame Judi Dench, opened later that same year.

Thursday, March 5, 2020

Why Not Have Physician Assisted Suicide essays

Why Not Have Physician Assisted Suicide essays Why Not Have Physician Assisted Suicide? During the course of the past 20 years, many people are starting to here more and more situations about people participating in physician-assisted suicide. The fact of the matter is that people are starting to believe that they have the right to control their own life and death decisions. After you begin to think about physician-assisted suicide, and bring in all the facts, it becomes clear that it should be allowed in our society if it is used properly. Many people question the pure definition of physician-assisted suicide. According to the University of Washington School of Medicine, "physician-assisted suicide refers to the physician providing the means for death, most often with a prescription, in which the patient administers the medication" (Ethics in Medicine). As of 1997 the State of Oregon was the only state that utilize legalized physician-assisted suicide. Some people argue whether this practice is ethical to use today in our society. One strong reason why this should be done is because it is a good choice for people who are suffering unbearably. At times many physicians believe that it is their duty to relieve these people of their problems. One of the most famous arguments in favor of physician -assisted suicide is the story by Timothy Quill, and his patient "Diane". Diane was a woman who was diagnosed with leukemia; from the beginning she refused the aggressive treatment. "She then requested a prescription of barbiturates that could be used to end her life if she determined that her suffering had become unbearable" (Annals of Internal Medicine). Diane was enrolled in a hospice program, many months passed but she began to feel a lot of pain, and fatigue. She used the barbiturates that her doctor gave her and ended her life. This was a very good case in favor of the practice because this woman was in serious pain, and the best solution was to end her life. ...

Tuesday, February 18, 2020

MNE should stop outsourcing to developing countries 2 Assignment - 1

MNE should stop outsourcing to developing countries 2 - Assignment Example It is, therefore, the nature of human beings to be curious as the people were in the story. The story is a satirical piece, which the writer uses to mock human nature in general, and the Catholic Church. Criticism is seen from the father and the letter, which he sends to his superiors in Rome (382). The superiors do not look interested in coming to view the spectacle. Father Gonzaga is asked to talk to the Old man and see if his dialect is Aramaic. The superiors also ask Father Gonzaga to see how many times would fit in the head of a pin. This is an example of Catholicism, which refers to the medieval theory that was thought to be proof of God’s omnipotence. The superiors in the Catholic Church finally make a conclusion that the old man is a Norwegian sailor who is stranded. This statement makes the church sound literal minded and not in touch with reality. The church is also seen to have a wait and see tactic, as they do not do anything about the old man with enormous wings. They just wait until the end when the man flies off. They leave the man in Pelayo’s compound while they could have taken the man in their refuge so that they could find out everything about him. Human beings in the short story by Gabriel Garcia Marquez do not care about the significance of life (384). Everyone in the story is afflicted by narrowness of vision. This is seen from the church to the neighbor woman, the pilgrims, and the crowd of onlookers. Elisenda is also viewed to be narrow as she chooses to keep her living room and kitchen living free instead of deciding to consider her uninvited guest who was different from them and oddly beautiful. Regret is also considered as part of human nature by the writer of the story. When Elisenda looks at the angel at the end of the story and realizes that she would probably never have a chance of seeing him again, regret is clearly depicted. The writer points out that most people

MNE should stop outsourcing to developing countries 2 Assignment - 1

MNE should stop outsourcing to developing countries 2 - Assignment Example It is, therefore, the nature of human beings to be curious as the people were in the story. The story is a satirical piece, which the writer uses to mock human nature in general, and the Catholic Church. Criticism is seen from the father and the letter, which he sends to his superiors in Rome (382). The superiors do not look interested in coming to view the spectacle. Father Gonzaga is asked to talk to the Old man and see if his dialect is Aramaic. The superiors also ask Father Gonzaga to see how many times would fit in the head of a pin. This is an example of Catholicism, which refers to the medieval theory that was thought to be proof of God’s omnipotence. The superiors in the Catholic Church finally make a conclusion that the old man is a Norwegian sailor who is stranded. This statement makes the church sound literal minded and not in touch with reality. The church is also seen to have a wait and see tactic, as they do not do anything about the old man with enormous wings. They just wait until the end when the man flies off. They leave the man in Pelayo’s compound while they could have taken the man in their refuge so that they could find out everything about him. Human beings in the short story by Gabriel Garcia Marquez do not care about the significance of life (384). Everyone in the story is afflicted by narrowness of vision. This is seen from the church to the neighbor woman, the pilgrims, and the crowd of onlookers. Elisenda is also viewed to be narrow as she chooses to keep her living room and kitchen living free instead of deciding to consider her uninvited guest who was different from them and oddly beautiful. Regret is also considered as part of human nature by the writer of the story. When Elisenda looks at the angel at the end of the story and realizes that she would probably never have a chance of seeing him again, regret is clearly depicted. The writer points out that most people

Monday, February 3, 2020

Professional and organisational Development Assignment

Professional and organisational Development - Assignment Example It is a procedure of continuous evaluation, planning and implementation of the knowledge for the improvement of the organisation’s ability of problem solving, capacity management and changes in future. Organisational development assists in improving the business by engaging several products and services. It helps in observing the dynamics of the working environments so that the progress in faster and effective. The three components of the organisational development approaches are systems thinking, behavioural sciences and values. Fig 1: Organisational Development Approach Source: (Haneberg, 2005). The managers within an organisation use the organisational development approach for increasing the effectiveness and capacity by implementing the set of values by systematic thinking approach to provide best output in the work. Moreover, they apply the behavioural sciences theories for the success of the organisation. The values of the organisation are set which are to be followed by the people to indulge in for greater success (Haneberg, 2005). Organisational development depends on the values which help in taking proper decision regarding the employees and the organisation. These values give a shape to the decision taken and replicate an appropriate result for the efficiency of the success. The values are the most eminent part of the organisational approach as it involves the process of engagement within the culture and the employees. Relationship building, authenticity, respect, empowerment and flexibility are the values which help in the success of the organisations in any sector. In the automobile sector managers also implement these approaches for ensuring success and proper coordination among the people (Haneberg, 2005). The objective of this management report is to deal with the organisational approaches followed by the automobile sector giants such as Ford Motors, General Motors and Toyota. The approaches and their effectiveness in the development for t he professionals or leaders and the organisation are evaluated in this study. Organisational Development Approaches of a Group of Organisations in Automobile Industry Ford Motor Company Organisational development approach is an essential part in an organisation for its successful functioning. It is imperative as the profit of a concern depends a lot on the systems thinking approach and the values of the employees in accordance with the business. In this regard, it is affirmed that Ford Motor Company follows the open system approach which is a continuous process that renders emphasis on the environmental dynamics. As Ford Motors follows the open system, it gets continuous flow of information regarding the products in the form of feedback. The feedbacks are then analysed thoroughly for the betterment of the product as per the need of the environment. Therefore, the efficiency of the company depends on the interaction level with the environment. In the recent years, the organisational development demonstrates a shift in the approach from system to the organisational approach. Correspondingly, it is acknowledged that Ford Motors has used the systems analysis approach which is effective (Brown & Harvey, 2006). In this regard,