Report on “Rahimafrooz”

Section: ONE 1. 1 Introduction The word ‘environment’ doesn't only allude to the normal or biological condition, despite the fact that that might be significant contemplations for some associations. Rather, it is a nonexclusive idea, which grasps the totality of outer condition powers, which may impact any part of hierarchical movement. So also, the word ‘business’ is utilized to infer any sort of association, regardless of whether it is a business benefit making venture, an administration office or a non-benefit making magnanimous trust. 1. 2 Background: The report-led rahimafrooz constrained. This organization all prepared set up in the market. Rohimafrooz first spear their item in 1954. We are setting up this report condition sway (uniquely biological effect) examination the rahimafrooz restricted. We are visit rahimafrooz deals focus and gather a lot of data. In this paper â€Å"Impact of Environmental Forces in Industry uncommon spotlight on Ecology† each conceivable endeavor has been made to gather important data to show the states of the item. 1. 3 Significance of the report: To legitimize the how circumstance biological condition sway the rahimafrooz Ltd. in Bangladesh. 1. 4 Scope of the report: The zone of study is limited to rahimafrooz Ltd. n Bangladesh. The activity is to audit the general organization environmental effect. This report has been set up through broad conversation with bunch part and dealer of the organization. ?An outline of IPS and battery industry in Bangladesh. ?An outline of rahimafrooz restricted in Bd ?Marketing execution of rahimafrooz constrained. 1. 5 Objectives: 1. 5. 1 Broad Object ive: Our goal is to recognize Environmental Forces on Rahimafrooz Ltd. particularly natural effect on their creation procedure just as generally industry. 1. 5. 2 Specific Objective: ?To distinguish the ecologial state of Rahimafrooz Batteries and IPS Ltd. In Bangladesh. To recognize the significant impediment to the method of flourish of the organization. ?To discover the destinations of the Rahimafrooz Ltd. ?To distinguish the financial and advertising condition. 1. 6 Methodology: Methodology following to play out work or leading exercises to finish an undertaking is called technique. 1. 6. 1 Type of exploration: This is a Descript and test research which quickly uncovers and breaks down the particularly environmental effect of Rohimafrooz Ltd. 1. 6. 2 Sources of information 1. 6. 2. 1 Primary: Rohamaforooze vendor, showcasing office, and client, vender and so forth 1. 6. 2. 2 Secondary: Newspaper, article, library strong, and report. . 6. 3 Data assortment method: 1. 6. 3. 1 Seco ndary: †¢Published archives and reports †¢Annual reports of the Rahimafrooz . †¢Relevant sites (www. rahimafrooz bangladesh restricted. com) 1. 6. 3. 2 Primary: Interview and conversation with the authorities and customers 1. 6. 4 Questionnaire: A legitimate poll is utilized in the statistical surveying. Both close finished and open-finished inquiries are utilized in the survey. 1. 6. 5 Sampling plan: ?Sample unit: The example unit of the study is an individual client of IPS and battery in BD. ?Populace: All the client of IPS and battery item in mirpur aria. Test outline: No very much organized example outline is found. ?Examining method: Non-likelihood comfort testing system is utilized in the overview. ?Sampie size: The example size is 100 individuals NoAreaNumber 01Mirpur-11 number50 02Mirpur-10 number30 03Mirpur-01 number20 1. 6. 6 Data examination and detailing: We have utilized distinctive PC programming to breaks down this reports. For example, Microsoft word, Microsoft exceed expectations and so on 1. 7 Limitations: ?Lack of time ?Lack of information ?Lack of adequate money related help. ?Absence of appropriate book, diaries and article and so forth. ?Absence of important information and data. Absence of impeccable co-activity. Section: TWO Theoretical Aspects ENVIRONMENTAL FORCES A Classification of Environmental powers: 1. LE. PESTC examination. 2. â€Å"Dartboard† model. 3. Harmony and Robinson hypothesis. There have been various endeavors to display the business condition either in its totality or in its particular components. Maybe the most mainstream of the previous classification is PEST investigation. The basic abbreviation PEST (representing Political, Economic, Social, Technological) serves well as a helper diary while considering the variety of ecological powers affecting business movement. It incorporates most zones of concern these field. Bug examination empowers to collect a coherent and far reaching image of their condition. Anyway it is the interrelationship between the obviously extraordinary factor, which includes multifaceted nature, and vulnerability to the examination yet additionally wealth more noteworthy exactness Figure: LE PEST C Analysis Economical †¢GDP per capita †¢economic development †¢unemployment rate †¢inflation rate †¢consumer and speculator certainty †¢inventory levels †¢currency trade rates †¢merchandise exchange balance †¢financial and political strength of exchanging accomplices †¢balance of installments †¢future patterns Political †¢political atmosphere †measure of government action political dependability and hazard †¢government obligation †¢budget shortfall or surplus †¢corporate and individual duty rates †¢payroll charges †¢import taxes and quantities †¢export limitations †¢restrictions on global monetary streams Legal †¢minimum wage laws †¢environmental assurance laws †¢worker security laws †¢union laws †¢copyright and patent laws †¢anti-restraining infrastructure laws †¢Sunday shutting laws †¢municipal licenses †¢laws that favor business venture Technological †¢efficiency of foundation, including: streets, ports, air terminals, moving stock, emergency clinics, training, human services, correspondence, and so on †¢industrial profitability †¢new fabricating forms new items and administrations of contenders †¢new items and administrations of gracefully chain accomplices †¢any new innovation that could affect the organization †¢cost and openness of electrical influence Ecological †¢ecological worries that influence the organizations creation forms †¢ecological worries that influence clients' purchasing propensities †¢ecological worries that influence clients' view of the organizati on or item Social †¢demographic factors, for example, opopulation size and circulation oage dispersion oeducation levels oincome levels oethnic starting points oreligious affiliations †¢attitudes towards: omaterialism, private enterprise, free endeavor independence, job of family, job of government, cooperation orole of chapel and religion oconsumerism oenvironmentalism oimportance of work, pride of achievement †¢cultural structures including: odiet and sustenance ohousing conditions Competitive †¢Labor flexibly oquantity of work accessible oquality of work accessible ostability of work gracefully owage desires oemployee turn-over rate ostrikes and work relations oeducational offices †¢Material providers oquality, amount, cost, and steadiness of material sources of info odelivery defers oproximity of cumbersome or substantial material information sources olevel of rivalry among providers Global Economy Technology division International Context Government Industry ORGANIZATION crude material Market areas social Human assets Sector Global Finance Sector division Figure: Dartboard model The dartboard setup gives the association of spot in the inside while transmitting from are 8 classes natural concern. Innovation Sector Both the sorts and the degree of innovation in the general public give knowledge into understanding an organization. Establishments managing Western ideal models are subject to the condition of national framework, e. g. power, water, transport; those which focus on indigenous exploration ideal models may have entirely unexpected conditions. Therefore, it is critical to comprehend the degree of significant innovation in the institutional setting and whether such innovation is characterized by PC education or by exceptionally created indigenous strategies for verbal and nonverbal correspondence. It may likewise be useful for an evaluation to incorporate a thought of the procedure by which new innovation comes into utilization, both to see that it is so hard to gain required exploration advances and to build up a gratefulness for the general public's ability to grasp both new information and change. Government Sector At a general level, IDRC needs to comprehend the connection between administrative technique or improvement plans and the establishment. A few explicit components of the political setting ought to be investigated: †¢The degree to which government and its administration underpins and contributes assets to the organization: It is basic that IDRC and other financing offices know whether noteworthy legislative sources of info are foreseen to help expanded staffing, upkeep, or other repeating costs run of the mill in research ventures. The political setting typically involves asset exchange off choices at the administration level. The degree to which the political framework is steady or ready to experience critical change: This factor is crucial; the international strategy setting and its impact on IDRC ought to likewise be thought of. †¢Whether the political setting of the establishment straightforwardly includes the lawful setting: Some organizations require explicit legitimat e status to work, to get outside subsidizing, and to import gear on the side of exploration. Monetary Sector In the financial condition, the authoritative investigation should fixate on those parts of the monetary framework that legitimately sway the kind of task being thought of. For instance, swelling, work laws, and opportunity costs for specialists in open establishments straightforwardly sway authoritative exercises. Obviously, a nation under an auxiliary change system or one that is hoping to experience rebuilding presents a venture setting that IDRC

Red, White and Blue Electrolysis Chemistry Demonstration

Red, White and Blue Electrolysis Chemistry Demonstration Here is an ideal electrochemistry chem demo for the fourth of July or other enthusiastic occasion. Utilize salt extensions to associate three measuring glasses of fluids (clear, red, clear). Apply a voltage and watch the arrangements turn red, white and blue. Devoted Colors Electrolysis Demo Materials 500 mL 1M potassium nitrate, KNO3 (make this)1 mL thymolphthalein pointer arrangement (make this)2 mL phenolphthalein solutionapproximately 2 mL 0.1M sodium hydroxide, NaOH (make this)approximately 1 mL 0.1M sulfuric corrosive, H2SO4 (make this)3 250-mL beakers3 8-mm x 200-mm carbon rods25-cm uninsulated 14-ga copper wire10-cm elastic tubing, around 5-mm outside diameter#6 elastic plug, 1-hole2 U-tubes, 100-mm, 13-mm outside diameter4 cotton balls3 20-cm glass blending rodsadjustable DC power flexibly that can produc 1 amp at 10 volts (e.g., car battery charger)clip leads Set up the Red, White, and Blue Demonstration Pour 150 mL of 1.0M KNO3 into every one of the three beakers.Line the containers up in succession. Spot a carbon cathode in each beaker.Wrap one finish of the copper wire around one the carbon anodes toward the finish of the column. Slip elastic tubing over the copper wire to cover the uncovered wire that will be between the anodes. Wrap the opposite finish of the copper wire around the third carbon terminal, toward the finish of the line of measuring utencils. Skirt the inside carbon pole and be certain no uncovered copper contacts it.Fill the two U-tubes with 1M KNO3 arrangement. Fitting the parts of the bargains with cotton balls. Rearrange one of the U-cylinders and drape it over the edge of the left and focus measuring utencil. The arms of the U-cylinder ought to be inundated in the fluid. Rehash the methodology with the subsequent U-tube and the inside and right containers. There ought not be an air bubble in either U-tube. On the off chance that there is, evacuate the cylinder and re-fill it with KNO3 solution.Place a glass mixing pole in each beaker.Make certain the force flexibly is off and afterward associate the positive () terminal to the focal carbon anode and the negative (- ) terminal to one of the external carbon cathodes. Include 1 mL of thymolphthalein answer for the recepticle on the privilege and 1 mL of phenolphthalein pointer to every one of the other two beakers.Add 1 mL of 0.1M NaOH answer for the center container. Mix the substance of every container. From left to right, the arrangements ought to be: clear, red, clear.These arrangements might be put away in fixed holders and might be re-used to rehash the exhibition. In the event that the hues become black out, more pointer arrangement might be included. Play out the Demonstration Turn on the force gracefully. Change it to 10 volts.Wait 15 minutes. Mood killer the force gracefully and mix each solution.At this point, the arrangements should now seem red, dismal and blue. You may wish to put a white piece of paper or posterboard behind the measuring glasses to show the hues. Likewise, this causes the inside measuring glass to show up white.You can restore the answers for their unique hues by switching the associations with the force gracefully altering it to 10 volts, and permitting 20 minutes before killing the force and blending the solutions.Another approach to restore the answers for their unique hues is to add 0.1 M H2SO4 to the containers on the end until the fluids turn dull. Add 0.1 M NaOH to the center measuring utencil until the fluid abandons clear to red. Removal At the point when the show is finished, the arrangements might be washed down the channel with water. How It Works The synthetic response in this exhibition is basic electrolysis of water: The shading change is a consequence of the pH move going with electrolysis following up on the pH pointers, which were chosen to create the ideal hues. The anode is situated in the inside recepticle, where water is oxidized to deliver oxygen gas. Hydrogen particles are delivered, diminishing the pH. 2 H2O(l) â†' O2(g) 4 H(aq) 4 e- Cathodes are situated on either side of the anode. In these containers, water is diminished to frame hydrogen gas: 4 H2O(l) 4 e-â†' 2 H2(g) 4 OH-(aq) The response produces hydroxide particles, which increment the pH. Other Patriotic Chem Demos Red, White and Blue Density ColumnColored Fireworks DemonstrationFireworks in a Glass - Safe Demo for Kids References B. Z. Shakhashiri, 1992, Chemical Demonstrations: A Handbook for Teachers of Chemistry, vol. 4, pp. 170-173.R. C. Weast, Ed., CRC Handbook of Chemistry and Physics, 66th ed., p. D-148, CRC Press: Boca Raton, FL (1985).

Why This School Uses College Essay Samples in Their Essay Writing Program

Why This School Uses College Essay Samples in Their Essay Writing ProgramThere are a number of reasons to consider adding samples of college essays to your portfolio of writing materials. This is especially true if you are taking online college courses as you will be writing a great deal of these essays on your own and therefore a strong understanding of how to write a good one can go a long way in securing some of the best-paid jobs.Writing a good essay is all about content and how you can convey it in a way that will help the reader make up their mind about what you are trying to convey. If you have ever worked as a student then you will know that good essay writing is far easier than most people realise and simply having good writing skills is not enough.Many students find the process of writing college essays extremely stressful and for this reason they often procrastinate. Most students write their own essays for years, and once they start to feel that they are stuck and cannot make progress, they stop. Why not go back and re-read some of the samples and see if they can get you over this hurdle.As I said before, essay writing is a hugely popular course at most universities and other schools, particularly because of the ability to pass an exam and get the job you want if you do well. An essay that is well written and can clearly be conveyed will always win an argument and get you to the front of the queue for a good paying job. It also enables you to get to grips with the English language and it becomes easier to communicate ideas clearly if you know what you are talking about.The best online essay sample providers give you examples of essays from a wide range of different subjects such as business, psychology, history, art, law, philosophy and even physics. These types of topics are perfect for you to practise your writing skills and go over the same ideas again until you get them right.By offering sample college essays you are allowing yourself to do this , so you will be getting a good grounding for your English skills, which is probably the most important thing you will ever learn. Even if you don't want to write a successful essay, you will be able to work out how to create one with confidence.Getting yourself the high quality essay you want is going to take some time and the practice you get through using these samples is invaluable. The more practice you have, the better your chances of writing a good essay.So why not make the most of the free online essay samples by getting started on writing a well-structured essay, in a way that can help you secure a high paying job for yourself? You will also be able to share your skills with other students at your school who could greatly benefit from a good essay of their own!

Exorbitant Privilege The Rise And Fall Of The Dollar

The United States is a powerful country with a powerful economy. It has a huge presence in the international market and this is due primarily to its exorbitant privilege. Exorbitant privilege is the benefit that the US is able to enjoy due to the dollar’s status as the currency used for international reserves. Many economists have criticized this privilege of the US, including Barry Eichengreen. Eichengreen presents the argument that the dollar should not be the only currency that is used in the International Monetary System (IMS) and that despite its history, it no longer has a reason to be the only currency in the global economy, believing that the IMS would benefit from having multiple international currencies. He argues this by presenting the history of the economies throughout the world that have led to this point. His presents his argument in his book Exorbitant Privilege: The Rise and Fall of the Dollar and the Future of the International Monetary System. 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Geography And Climate Natural Resources And Industries

New York Laiba Shehzad 5th Grade Ms.Whaley May 6, 2016 Table of Contents Introduction History Geography and Climate Natural Resources and Industries Conclusion Work Cited Introduction The state of New York is located in the Northeast part of the United States. It is next to the Atlantic Ocean and shares borders with Connecticut, Massachusetts, New Jersey, Pennsylvania and Vermont. New york became a state in July 26, 1788 and as of 2012 New York has 19.570.02 people, with the capital being, Albany. Technology and Healthcare are very major parts in New York. New York is a place for adults, kids and teens to enjoy and have fun. With many tourist attractions, like The Statue of LIberty and Time Square. History New York became the 11th state on July 26,1788. The first explorer to reach New York was a European explorer named Henry Hudson. Henry Hudson was a man who explored the Hudson river the river named after him. Major New York Indian tribes were the Iroquois and the Algonquin people. 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Essay on Infancy and Early Childhood Development - 1654 Words

Infancy and Early Childhood Development PSY/375 March 14, 2011 Kris Scott-Graves Infancy and Early Childhood Development Infancy and early childhood are referred to as those immature years of life and the stage at which most of a child’s development occurs. To strengthen the development of a child’s learning one must understand the physical and mental factors that affect a child’s development through observation and interaction. Development begins during the prenatal period on up to the early years and depends on the nutritional, medical, emotional, and intellectual support of parents, family members, caregivers, and teachers (Cherry, 2011). Parenting styles also play a role in what influences development as well as early childhood†¦show more content†¦This study of parenting and its effects on children displayed many aspects of parenting such as strategies of discipline, parental nurturance, styles of communication, and one’s level maturity and control. Observation from such dimensions created what is known as the four styles of parenting. Authoritarian Parenting Authoritarian parenting was a style of parenting that expected children to follow the rules and obey. Good behavior was rewarded; whereas, bad behavior was punished. This style of parenting felt as though they needed to give no reason other than â€Å"they said so.† Communication between parent and child was minimal with no response to child. Children who grew up from this type of parenting ranked lower in happiness, social competence, and self-esteem. Children are not allowed to make their own choices and given limited freedom. Authoritative Parenting Authoritative parenting is similar to that of authoritarian in terms of establishing rules and guidelines to follow, but much more democratic. However, this style of parenting is more responsive to their children. Though standards are set high there is room for decision-making. 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Big Data Opportunities and Challenges †Free Samples to Students

Question: Discuss about the Big Data Opportunities and Challenges. Answer: Introduction In this paper we are going to focus on the emerging trend of big data analytics on the two case studies which are undertaken. The case study one focuses on the efficiency and effectiveness of the big data analytics in the field of health care system. The second case study describes the use of big data analytics by the semiconductor manufacturing organization. The focus of the paper is to translate the use of big data analytics by the different sector in the working curriculum of their organization. The evolution of big data analytics has completely transforms the working structure of the semiconductor manufacturing industry. The use of big data semantics by the organization in their working infrastructure helps in improving the work based environment of the company by detecting the occurrence of the fault, increasing the capabilities by using effective technology, making use of predictive maintenance program, and etc. The technological gaps of the organization can be filled by using the big data analytics environment. The working quality of the enterprise can be improved by exploring the quality of data provided for the development of the quality solution and using the fundamentals of online expertise. The need of big data analytics is for the semiconductor manufacturing industry because it helps in managing the streamlining process of supply chain in managing raw material according to the demand of the project, coordination between online and offline tools, flexibility in retrieving required information, promotion of the product through the online tools, use of real object virtually, and increasing the decision making capabilities of the manager. The five objectives of the big data which are variety, velocity, volume, value, and veracity helps in improving and adding new capabilities to the existing system. During the initial stages of transforming the working tactics with the big data, company faces many challenge and problems due to the increase of complexity in the designing process of manufacturing product (Osuszek, 2016). Traditionally, the designing of the product was done on the 2D environment but with the inclusion of 3D data analytics The big data analytics is required du e to the faster growth of internet of things, mobile device, advanced version of smart device, and inclusion of artificial intelligence system (Weilki, 2013). The capability of the manufacturing can be enhanced by transforming the working environment with the ease of handling big data efficiently. The applicability of the big data analytics in the field of manufacturing semiconductor can be followed the following road map which focuses on 5V model of the big data. It helps in managing the quality and merging of the data application to improve the level of the designing process. The semiconductor device should have the capabilities of handling data required for sensor network as the growth of the technology. The enterprise resource planning helps in updating the manufacturing execution system of the organization (Raghupathi, 2014). The capabilities of the system can be improved with the inclusion of big data analytics in advance process control system of the enterprise. Advance process control system of the organization is comprised of various terminologies which should be updated with the use of big data analytical platform (Halaweh, 2011). The terminologies of the APC system are fault detection system which is used for detecting anomalies, classification of the fault is used for determining the reason or cause, prediction of the fault is used for the monitoring of the process for analysing the anomalies in the system, deployment of the run to run control for improving the processing power of the system, statistical process control is used for achieving the control on the process, equipment health monitoring tools is used for analysing the working condition of the equipment used for processing, predictive maintenance program helps in providing proactive maintenance, scheduling procedure can be effectively impr oved with the use of predictive maintenance program, virtual memory is used for handling the sensor data information, and prediction of product manufacturing. The processing scheme of the organization can be effectively managed with the use of big data because it helps in providing dynamic environment to the manufacturing process for improving the functional operation of the organization (Mishra, 2015). The quality issues of the data can be resolved with the implementation of the big data analytics procedure. The quality of the data is affected due to the inclusion of internal and external factor such as competition in the industries, following of rules and standards, analytical solution, requirement, and etc. These challenges can be effectively resolved by improving the 3D dimension of working. The working capabilities of the semiconductor manufacturing organization can be improved by improving the supervision level, prediction level, correlation in the parameters, incorporation for resolving complexity, and many more (MCKinsey, 2014). The level of supervision can be improved by managing the correlation between dataset and the parameters required for processing, level of prediction helps in forecasting the output of the process undertaken, measuring the functional dependency among the data set helps in resolving the correlation issues which exist in the data set, and others. The st udy of the given dimensions helps in increasing the capabilities of the different section. The inclusion of principle component analysis helps in analysing the application. The coordination between the big data analytics and APC application helps in focusing on the false of the processes during the supervision of the data, managing correlation between different processes, resetting of the dynamic model, and setting of the time required for the completion of the process. The detection of the anomalies can be effectively done with the help of big data analytics in the process control block of the semiconductor manufacturing industries. Smart manufacturing of the semiconductor devices can be effectively done by the inclusion of big data analytics in the manufacturing process of the organization (EY Advisory Service, 2014). The effectiveness of big data helps in development of integration policies between the processes related to the supply chain management system, optimizing flexibility in the manufacturing operations, and traceability of the processing program. The inclusion of cyber physical system in the manufacturing processes of the semiconductor devices helps in bringing coordination among the physical resources with the help of computation processes. The virtual environment of the business processes focuses on predicting the faults and the outcome in the process driven program undertaken by the company. The infrastructure of data processing should be completely changed from 2D environment to 3D environment. The capability of the manufacturing can be enhanced by transforming the working environment with the ea se of handling big data efficiently (Hajli, 2017). The applicability of the big data analytics in the field of manufacturing semiconductor can be followed the following road map which focuses on 5V model of the big data. The use of big data semantics by the organization in their working infrastructure helps in improving the work based environment of the company by detecting the occurrence of the fault, increasing the capabilities by using effective technology, making use of predictive maintenance program, and etc. From the study of the given case study on the semiconductor manufacturing industry we are able to highlight the effectiveness of big data environment for handling the business process for predicting the fault and the outcome of the process proactively so that the gaps of the business processes undertaken should be removed before implementation which helps in retrieving the prescribed output without any distraction (Fuzitsu, 2014). The use of dynamic equipment in the virtual environment helps in improving the quality, accuracy, availability, and reliability of the data used in the completion of the manufacturing process. The fault detection and the predictive maintenance features of the big data analytics helps in creating the robust maintenance solution for the company to provide best manufacturing practices. It helps in managing the quality and merging of the data application to improve the level of the designing process. The case study two focuses on the use of big data analytics in the field of health care centre. The objective of this study is to look on the operational capabilities of the big data to handle the functionality of the health care system with ease and effectiveness. The health care industry is having large volume of data in the form of patient record which has to be kept synchronously so that it can be retrieved by the user at any time and at any corner of the global world. The new technology is required providing the quality output with minimum cost to increase the capability of decision making and helps in providing instantaneous health service to the patient on demand. The complexity of the health care system can be resolved with the implementation of the big data analytics for handling the scheduling of the patient record on the online portal of the application so that it can be fetched by the doctor or the patient according to the requirement. The big data analytics helps in mana ging the records of the data in the scheduled and the synchronous order. The electronic patient records include the details of previous prescription, including laboratory details, pharmacy, and data related to the insurance policy. This newer technology is helpful in saving millions of life by providing accurate information of the patient at the time of need without wasting a moment of second which is crucial for the life of the patient at the time of emergency. The expert doctors can also participate through videoconferencing to resolve the serious condition of the patient by studying all the previous reports and prescription of the patient. The need of big data analytics arises for the management of online patients health records to handle the situation of emergency by the experts sitting at their respective places and the provided with the immediate treatment which helps in saving the life of the patient. The digitization of the health record helps in managing integration between various hospitals. The early detection of the disease can be possible due to the sharing of experience by the various experts. The records of the patient is managed over the portal throughout the life of the patient so whenever there is a need of older records than it is easy to retrieve through the concept of big data analytics. The consultation from the various doctors can be taken by sharing the reports of the patient by them. The deployment of the big data an alytics in the working curriculum of the health care system helps in minimizing the cost spend by the patient on his treatment by managing all the previous records of test and simultaneously consultation from various experts at a time. The availability of statistical data of the patient records open the door for exploring the research area to diagnose the symptoms of the disease predicted in the patient. The knowledge of possible causes helps in taking action to take preventive measures of that particular disease. The research study on the big data is come up with possible solution to resolve the health issue related to the disease. The fraud with the patient records can be easily detected (Accenture report, 2014). The real time analysis of the large volume helps in knowing the case of emergency and the quick first aid can be provided according to the need of the patient at the destination place. The 4 Vs characteristics of the big data are applied on the health care system. The Volume characteristic helps in managing the large data of record of the patient for easy retrieval. The velocity is applied for providing the data on the demand of the user and maintaining the flow of data between the sender and receiver. The variety is applied for accumulated various types of information of the patient at one place. The real time monitoring of the portal provides the information related to the person who is in need of quick treatment. The matching of the old data and the new data can be effectively done with the use of big data analytics. The reliable and accurate information is provided to the user end (CGMA Report, 2011). The visualization techniques can be easily applied for measuring the statistica l data. The warehousing of the data can be effectively done with the use of newer technology. The coordination in the management of data helps in avoiding faults in the presentation of the data. The decision making capabilities of the doctors and experts can be increased by the online retrieval of the information. The distributed processing is applied on the data available on different warehouses to get the accurate information of the patient from various sources. The map-reduce technology is applied on the data available on the Hadoop file system for managing big data of the health care system. The implementation of the map-reduce algorithm helps in eliminating the complexity from the data management statistical support. The open source tools are utilized for making the user-friendly environment for the data driven policies. There are various sources of big data in the health care system which are categorised as internal sources, external sources, multiple geographical location, and multiple distributed application environment. The transformation of the big data into the useful information can be possible with the implementation of data warehouse. Various tools are applied to the transformations of data into useful information such as map reduce protocol in the Hadoop file system environment, zookeeper, avro, hive, and many others (Peristeris, 2011). The accessing of the big data can be done through various applications like in the form of queries, data mining techniques, OLAP system, and generation of reports. The decision support system of the health care depends on the availability of the digital health records of the patient. There are some negative consequences of using big data analytics in the health industry. The success of the big data handling depends on the accurate and reliable retrieval of i nformation from various sources. Privacy is the main concern on managing digital health records of the patient on the network (Rankin, 2015) .The attacker has the possibility to retrieve confidential information of the patient from the digital records (Alam, 2014). The security and the cryptographic approach should be used for securing the private information of the user from data leakages. The lack of using technological equipment in collecting information can cause the problem of accuracy in the data uploaded in the health record of the patient. The accuracy of the information posted on the electronic record of the patient should be verified so that no chance of fraud can occur. The government standards should be followed for managing the ethical laws on the platform of big data analytics associated with the health care centre. Conclusion From the analysis of the case studies, it is concluded that big data analytics helps in managing the large volume of data on the network with accuracy and reliability. During the course of action plan, the security concern should be taken under consideration. The cryptographic approach should be used for securing the data on the network to be leaked by the third party. The confidential information of the user should be remaining private. The security procedure should be laid down for the successful implementation of the big data analytics in the working curriculum of the enterprise. Reference: Accenture report. (2014). Big success with big data. Retrieved https://www.accenture.com/sa-en/_acnmedia/Accenture/Conversion-Assets/DotCom/Documents/Global/PDF/Industries_14/Accenture-Big-Data-POV.pdf Alam, J. (2014). A review on the role of big data in business. Retrieved https://www.ijcsmc.com/docs/papers/April2014/V3I4201480.pdf CGMA report. (2011). From insight to impact: unlocking opportunity in big data. Retrieved https://www.cgma.org/content/dam/cgma/resources/reports/downloadabledocuments/from-insight-to-impact-unlocking-the-opportunities-in-big-data.pdf EY Advisory Service. (2014). Big data: Changing the way business compete and operate. Retrieved https://www.ey.com/Publication/vwLUAssets/EY_-_Big_data:_changing_the_way_businesses_operate/%24FILE/EY-Insights-on-GRC-Big-data.pdf Fuzitsu, F. (2014). Technology and service vision: Case studies service, product, and solution. https://www.fujitsu.com/us/Images/fujitsu-technology-and-service-vision-en-separate.pdf Hajli, N. (2017). Exploring the path to big data analytics success in health care. Retrieved https://www.researchgate.net/publication/306128586_Exploring_the_path_to_big_data_analytics_success_in_healthcare Halaweh, M. (2011). Conceptual model for successful implementation of big data in organization. Retrieved https://pdfs.semanticscholar.org/27a3/da3c859571f23256e4f5d686f2a880570160.pdf MCKinsey, M. (2014). The age of analytics: competing in the data driven world. Retrieved https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/McKinsey%20Analytics/Our%20Insights/The%20age%20of%20analytics%20Competing%20in%20a%20data%20driven%20world/MGI-The-Age-of-Analytics-Full-report.ashx Mishra, R. (2015). Big data opportunities and challenges. Retrieved https://www.ijcsmc.com/docs/papers/June2015/V4I6201508.pdf Osuszek, L. (2016). Leverage big data analytics for dynamic informed decision with the advanced case management. Retrieved https://www.tandfonline.com/doi/full/10.1080/12460125.2016.1187401 Peristeris, T. (2011). Big data driven innovation. Retrieved https://gupea.ub.gu.se/bitstream/2077/39873/1/gupea_2077_39873_1.pdf Raghupathi, W. (2014). Big data analytics in health care: Promise and potential. Retrieved https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4341817/ Rankin, J. (2015). Research on implementing big data. Retrieved https https://files.eric.ed.gov/fulltext/ED555544.pdf Weilki, J. (2013). Implementation of the big data concept in organization-possibilities, impediments, and challenges. Retrieved https://pdfs.semanticscholar.org/31dd/beb275cb2505fff9f606e00f6137599de2e1.pdf