Management Board - 7980 Words

Beer Industry Budweiser and Tsingtao 12/17/2010 MIBO ------------------------------------------------- Group 3.4 Table of Content Introduction 3 Literature review 4 Conceptual framework 4 Background 5 Tsingtao 5 AB InBev 6 Pest Analysis 7 Budweiser 7 Political Factors 7 Economic Factors. 8 Sociocultural Factors. 8 Technological Factors. 8 Tsingtao 8 Political Factors 8 Economic Factors 9 Sociocultural Factors 9 Technological Factors 9 Research 9 Subquestion 1: how does the management board affect the international performance of the company? 9 Comparison Tsingtao – Budweiser 11 How will the decisions taken by the management board affect the resources and capabilities? 13 Comparison†¦show more content†¦Pest Analysis Management board decisions International performance Resources and capabilities The two main independent variables that have to be included in the conceptual model are the management board and the resources and capabilities of the company. It has been discussed in the literature that two of the four factors that influence the performance of businesses in their internationalization process are the management level and the control of resource capacity (Zeng, Tam, Wan, 2009). A distinction between resources and capabilities must be made: resources are the productive assets of the firm, while the capabilities are what the firm can do. It is the management board that decides upon the acquisition, development, usage and control of resources and the development of capabilities. Managers will select a set of resources from those available to the firm that they believe are responsible for achieving their vision of the business, which will result in the desired sustained competitive advantage of the company (Kunc, Morecroft, 2010). Furthermore, the board will have to deci de on other matters as well, which can alter the international performance of the company, whether it be positive or negative. Background In the next sections we will elaborate further on the links described in the conceptual framework. An extensive review of the literature on these subjects will be given, which will be used to support the analysisShow MoreRelatedThe Board Of Directors And Management2443 Words   |  10 PagesI. Introduction The board of directors and management in companies respectively constitute a fatal role to control issues within a company so as to face the internationalization of real and financial markets that ease the boundaries of the business world and increase the corporation ‘s complexity and risks. While the responsibilities of senior management is to control the day-to-day business affairs to ensure the implementation of the strategies approved by the board, directors control the directionRead MoreExecutive Management, Board Of Directors1336 Words   |  6 Pagesstructures involve executive management, board of directors and its internal and external stakeholders. The executive management are at the helm of running the company, executing strategy and managing company operations, while corporate boards are supposed to keep an ‘careful watch’ and guide executive management activity. Boards are primarily performing ‘advisory and monitoring’ functions i) by act ing independently in the interest of the corporation ii) guide management by taking ‘un-biased’ standRead MoreChange Management A Board Culture Of Corporate Governance952 Words   |  4 Pages corporate governance is an internal system that includes policies, processes and people, which serves the requirements of shareholders and other stakeholders, by directing and controlling management activities with good business savvy, objectivity and integrity. O Donovan, G. (2003). Change Management-A Board Culture of Corporate Governance. Corporate Governance International, 6(3), 28-37. Over the first decade of the twenty-first century, a number of massive company scandals and collapses, suchRead MoreAnalysis Of Oticon s Management Board Essay1991 Words   |  8 PagesThis report is requested by Oticon’s Management Board. Its purpose is to analyse and review existing strategy and processes and to advice on strategic options for managing change. The audience is Oticon’s Chief Executive Officer and Management Board members who support company’s mission statement of ‘helping people with hearing difficulties to life as they wish’ and recognised the need for businesses to constantly reshape their ideas to survive†. Audience is familiar with the terms used in this reportRead MoreEarnings Management and Corporate Governance in Bangladesh (the Role of the Board and the Audit Committee)9321 Words   |  38 PagesInternship Report On Earnings Management and Corporate Governance in Bangladesh (The Role of the Board and the Audit Committee) Prepared for: Mr. Shubhankar Shil. Assistant Professor, School of Business University of Liberal Arts Bangladesh (ULAB) Prepared by: Rashed Hossain ID: 092011001 Concentration: Finance School of Business University of Liberal Arts Bangladesh (ULAB) April 27, 2013 Mr. Shubhankar Shil. Assistant Professor, School of Business University of Liberal Arts BangladeshRead MoreA Research Study On Ownership Structure Affects Management Board Diversity1923 Words   |  8 Pages CRITICAL APPRIASAL OF QUANTITATIVE RESEARCH 1. Full title - Author(s)- A Quantitative Case Study of How Ownership structure affects management board diversity in Germany. 2. Name – Jane Oehmichen, Marc Steffen and Michael Wolff. 3. Date or Year – 2012 4. Journal or Conference Name – ZFB SPECIAL ISSUE 2/2012 5. Publication Place –Zeitschrift fà ¼r Betriebswirtschaft March 2012, Volume 82, Supplement 2, pp 95–125 ZFB. 6. Web Link- http://link.springer.com/article/10.1007/s11573-011-0541-0Read MoreIntroduction To Personnel Management Provisions And Principles Adopted On Board At Operational Level2123 Words   |  9 PagesEuan Camm G8F515 HNC Nautical Science Unit: FOLJ34: LO3 – Marine Law and Management: An introduction Outcome: LO3 – explain personnel management provisions and principles adopted on board at operational level. Part 1 1. With reference to theories discussed during the course A. Define Leadership Leadership can be defined as â€Å"the capacity to influence people by means or personal attributes and or behaviours to achieve a common goal†. CIPD. (july 2014). Leaders manage the delivery of a vision and theyRead MoreMemorandum International management associated to international sales Concerns and considerations Board of Directors, ABC Complete Kitchen Inc,1596 Words   |  7 Pagesï » ¿ Memorandum International management associated to international sales Concerns and considerations Board of Directors, ABC Complete Kitchen Inc, SKS5000-8 Comprehension Strategic Knowledge Studies Mohamed Benhalla October 12th, 2014 Professor Karl LIyod Memorandum To: ABC Completes Kitchen,Inc From: Mohamed Benhalla Date: October 12th, 2014 Subject: International Management Considerations to international sales Businesses have crossed borders, and it hasRead MoreCase Analysis of Room Board (Strategic Management))2402 Words   |  10 Pages1.0 Executive Summary Room Board is successful in domestic furniture retailer. The American furniture retailer has initially developed based on IKEA business model by John Gabbert. He adopted different strategy from other traditional furniture industry. He focuses on high quality and design, and became popular and set a high loyal brand in the USA. Room Board also succeed in implementing entrepreneurial strategies to create value. The company transfer its entrepreneurial ship mind-set toRead MoreThe Choice Of Color For A Company s Management Board Decisions Essay2116 Words   |  9 PagesIt is highly important to include in an advertisement the choice of color not only for advertising purposes but also for a company s management board decisions because colours are a highly and easily way of visual communication. In addition, colours are so important t for integrating marketing communication, because it helps in building a strong visual equity of consumers of a brand. On the other hand, due to the im portance of colours from a human s perspective, it is mentioned in various fields

Zen Buddhism From Chinese Buddhism - 1195 Words

Zen Buddhism originated from Chinese Buddhism that was transmitted to Japan. The Zen school was known as one of the many Buddhist religion in Japan. In Japan, â€Å"Zen is defined as the â€Å"buddha mind,†Ã¢â‚¬ ¦the ultimate reality, or â€Å"emptiness,† of all things and the enlightened state, or knowledge of that reality, characteristic of a buddha† (Bielefeldt 1995: 198). Zen emphasizes on the insight into the Buddha-nature through seated meditation (zazen), meditation practice, and teacher-sudden interaction. Zazen was understood as an expression of the Buddha nature. Zen Buddhism, focus on â€Å"a separate transmission outside scripture, not depend on words or letters, a school based solely on the teaching of Bodhidharma, which â€Å"points directly at the†¦show more content†¦In Buddhism, Buddhists generally achieve enlightenment by using meditation. Meditation helps Buddhist spiritual cultivate their minds by purifying their minds in a deep con centration. Enlightenment is the â€Å"natural and true state of the mind† which â€Å"exist within the mind of all sentient beings† as the mind comes to the awareness of its â€Å"own inherent potential† (Gregory 1987:289). The mind is free from thoughts and attachment of the world. To attain the Bodhi one must take part in meditative practices, followed by initial and transforming experience of awakening. After wakening the going process of cultivation of one’s insight until one’s attain ultimate perfection. One can seek enlightenment by practicing mediation; however, over time there is a controversy between how one attains enlightenment. Sudden enlightenment traditionally was known as the true teaching of Buddhism â€Å"in which the robe and Dharma have been uninterruptedly transmitted over successive generations† (Gregory 1987: 279) of Bodhidharma’s teaching of the Platform Sutra. The passing down of the Dharma role symbolized the official lineage of transmission; the robe is the proof of the Dharma. Yet over time, the robe no longer upheld this tradition. However, the Platform Sutra overtook this responsibility, as this Sutra became the doctrine of Buddhism. Sudden enlightenment came to dominate Chinese thought very quickly because it does not require

Business Intelligence Using Big Data How They Come Together

Question: Discuss about the Business Intelligence Using Big Data. Answer: Introduction The enterprise world is changing rapidly with various innovative demands with it. This change is also introducing several applications and technological advancements. Business intelligence is one of the most effective and innovative concept that changing the entire set up of information system within business sector. In this report, the impact of big data is analyzed in forming new strategies for the decision-making perspective or the chosen organization. In contrast with the scenario of this report the chosen organization is Mercedes (Mercedes-benz.co.in 2016). Mercedes is chosen for the analyzing the impact of big data on the platform of business analytics. In addition to this, the report is elaborating the strategies for Mercedes. The technology stack required for the decision-making perspectives of the concerned organization is also discussed in this report (Alexandrov et al. 2014). Other than these aspects about the usages of big data within Mercedes, the variety of tasks performed by big data and their velocity of performance are elaborated with proper examples. Identification, Creation and Discussion of Business Strategy for Big data use in Mercedes Identification of Business Strategy Framework for Customers Data Management The application of the big data within any business sector or concerned organization requires a particular framework to be implemented. Mercedes needs to know the use of big data to implement it within their organizational structure (Analytics 2013). The following framework has to be followed by the Mercedes in order to incorporate this system within their organization. The data management model is appropriate to explain the framework required for implementing big data within Mercedes. Figure 1: Business strategy for big data (Source: Riggins and Wamba 2015, pp- 1531) Creation of Business Strategy Framework for Customers Data Management Data Management Model Step involved within DMM Detailed Techniques Data Management Strategy Data management strategies involves the followings: Importance of official data Implementation of oversights used for communication and coordination Business IT alignment Official data cases Data Quality Data quality involves the following aspects: Meta data oversight Official data transaction over big data platform Profiling results that share service architecture Funding to the data Data operations Data operations involves the followings : Crowd sourcing Textual analysis Network analysis SQL Predictive Models Supporting Processes Following are the supporting process that are being used for the Mercedes for data management techniques: Measurement and Analysis Process Management Risk Management Configuration Management Platform and Architecture Platform and Architecture that is needed for the data management framework for Mercedes: Architectural Approach Standard of Architecture Integration of Data Data Governance Following aspects can be followed by Mercedes for managing the customer data: Management of Governance Important Business aspects Metadata management Discussion of Business Strategy Framework for Customers Data Management Data management Strategy: There are mainly four strategies in order to manage the customer data with full accuracy and safety (Bennett et al. 2013). In contrast with this discussion, the strategies are end to end data governance, end to end data quality, end to end data integration and accuracy of the data platform. These four models or perspectives are used in order to maintain potential data management within any group of network (Buyya et al. 2015). Mercedes uses their cloud base Azure to incorporate these aspects to manage the customer data. Figure 2: Data Managemenet Strategy (Source: Gandomi and Haider 2015, pp- 137) Data Quality Management: Data quality management is one of the most important aspects that the business professionals before their dealings verify must (Cevher et al. 2014). This data quality management includes the following aspects to be followed: designing, development and validation of the data (Chen et al. 2012). Validation of data involves analyzing the data, standardization of the data, check of the duplicity in data combinations and enrichment of the data with important information. Figure 3: Data Quality Management (Source: Slavakis et al. 2014, pp- 18) Data governance: Data governance protocol is nothin ggbut the validation of the meta data trnsfered within the information system. This includes the the data quality and data intigration within the ocncerned platform (D'Anca et al. 2016). These two aspeect checks the validity of the dta anadd then it is transferred to the destination as per the requirements. Figure 4: Data Governance (Source: Talia 2013, pp- 63) Identification and Aligning Business Strategy with Initiatives , Objectives and task of Mercedes Building Capabilities of Big Data for Syncing with the Initiatives of Mercedes Technological advancements are needed in order to support the initiative related to the big data. According to the experienced and organizational heads decided to incorporate a new strategy for implementing big data within Mercedes for their developmental perspectives (Fisher et al. 2012). This strategy is skilled statistician. This strategy allows the manager to guide their employees about the reason behind selecting big data. This aspect will help Mercedes in analyzing the need for using big data and business intelligence within their own platform (Ghazal et al. 2013). The organization can easily achieve their business growth with respect to the application of big data. Proactive Creation of Big Data Policy for Meeting the Objectives of Mercedes Mercedes needs to maintain their policies and regulating measures that will protect their data or transferred data. This aspect will make them capable of accessing data that are being transferred to the external business resources. In addition to this for following above stated measures, Mercedes should have to follow compliance, security and privacy related business operation (Hu et al. 2014). This will help Mercedes in maintaining their business operations that they are following. Integrating Multiple Strategies of Big Data for Easing the Business Tasks in Mercedes Big data have several forms that can be implemented within Mercedes. Mercedes can easily increase these strategies of big data in order to have a good growth of revenues. Such as data governance and data quality management can be used in order to have accurate data for an essential purpose (Kambatla et al. 2014). This aspect helps to synchronize the data with a proper field. The important tasks of Mercedes can be easily done with the help of big data analytics and business intelligence perspectives. Analysis of Technology Stack for Mercedes Big Data The technology stack of Mercedes for big data analytics are essential aspect that is being used for improving the performance of the organization from various perspectives. Various external and internal data resources are used in order meet the needs for the data resources. These data are used for data analysis (Kwon et al. 2014). Three Vs are popular in order to emphasize the data analytics; these are variety, volume and velocity. These three aspects explain about the different type, velocity and amount of data transferred. In addition to this the business strategy of the organization is Driving safety performance (Lazer et al. 2014). In accordance with this perspective the organization needs to utilize SAP HANA technology stack that will help the organization in meeting their goals and demands. SAP HANA: This platform is used for maintaining the remote data sync options in accordance with the driving safety performing measures for Mercedes (Moniruzzaman and Hossain 2013). This technological stack provides capability of the remote data syncing to the databases of Mercedes. Figure 5: SAP HANA Platform (Source: Tsai et al. 2016, pp- 15) Structure of SAP HANA: This platform used in the big data analytics is combination of few subparts that have to be incorporated within the platform in order to control the entire framework (Rahm 2016). These parts are Application service, database service, integration service. In addition to this, all of these factors specifically introduce some functionality within the system architecture. Figure 6: SAP HANA Architecture (Source: Talia 2013, pp- 98) Multitier storage option: This platform provides the huge amount of data storage facility that is offered to the system architecture. Multitier storage option activates all the layers of the database to perform various options at a time. Data streaming option: The data streaming option avails the information to be transmitted to the destination of the data resources (Riggins and Wamba 2015). In this process the data packets are transferred in order to maintain the data flow. Data management option: The data management options are based on the management of data. This is related to the execution, architecture and practices involved in the data management process. This aspect needs to manage the information life cycle. Real-time replication option: Synchronous data offers replicating measures to the application platform (Shang et al. 2013). This type of application of data helps to monitor the data management process. Benefits of SAP HANA Single coordinated stage is provided by this platform in order to test and ensure the quality of the data transformed to the motor system This system provides flexibility and predictability to the Polytechnical motor 360 degree of motor execution facility is proided by this at all the stages New investigation process related to the semi- robotization testing can be done through the help of SAP HANA Increases the profitable measures that is designed for sending direct information though cell phones Data Analytics and MDM for Supporting Decision Making and Business Intelligence Data Analytics: Data analytics is used among various organizations in order to take right decisions with respect to the right choice of perspectives. Mercedes also uses data analytics in order to find the measures that will benefit their goals and objectives related to maintain the driving safety (Gandomi and Haider 2015). Three essential aspects are considered as the most effective challenges in managing the data. Selection of the right data, managing the operations while considering the data analytics and transformation of the data into the concerned type. This provides the chance s to apply the data for particular usages in the field of driving safety. The decision making of Mercedes is entirely supported by the data analytics tools. The organization can easily choose the options for the raw materials and other technical support for betterment of their system architecture of manufacturing the cars. Robotization can be improved with the help fo the data analytics. Master Data Management: Master data management is related to the method that identifies the most effective and innovative data. Mercedes can use a singular source of data that helps in managing the business process with respect to the data types. Master data management helps the organization in improving their technological development in the sector of data integrity and quality management (Slavakis et al. 2014). These above mentioned aspects are considered for only the data related to the raw materials and other technologies that Mercedes has been chosen to incorporate within their system. AHP data management tool can help Mercedes in managing the master data within their organization. Standard Data view: Standard view of the data structures and other data bases can be done through the single view of standard view. The disputes, duplications and other conflicting situation within Mercedes can be resolved with the help of the Standard data view (Sun and Reddy 2013). This approach helps the organization in finding the right environment and perspectives, which will guide them in taking the right decisions. Oracle database can be used by Mercedes to get the standard view of the data used by them. Complete Overview of relationships: The data analytics of MDM can help Mercedes to identify the relationship among all the data entities that are used by several aspects required in the organization. In addition to this, this aspect also helps in establishing relationship with other entities within the organization. Managing Interactions: This aspect can be used for making the interaction between the social entities used by the Mercedes (Talia 2013). This aspect is used for the improvement of the database management. All the business operations are operated with the help of the efficient use of the management of interactions within database. Design Features: Flexibility and control of database operations are done with the help of the designing features of the big data analytics. The big data analytics and designing features of the big data can benefit Mercedes (Tsai et al. 2016). Mercedes can use oracle data management scheme. The software bases helps to identify the database formed for helping the customers. The data analytics can be improved with the help of the designing features of the big data. Analyzing Support of NoSQL for Big Data Analytics in Mercedes A Non- relational SQL database helps in identifying the facilities for big data analytics. These uses are scalability, alternatives, and time testing equipments. Several organizations use these applications. Examples of these organizations are Amazon, LinkedIn etc. there are several advantages of using Non- SQL databases in big data (Alexandrov et al. 2014). These advantages are explained as follows: NoSQL can provide the user-friendly feature that is growing exponentially. The business database management applications can be easily managed with the help of the Non-relational databases (Bennett et al. 2013). Non-relational databases can empower any business practices within the Mercedes. NoSQL do not need the schema orientation, therefore it is not necessary for the structure to know the database schema before using the databases. This system can help the in detecting problems caused by ACID characteristics. This database is included in the payrolls system (Buyya et al. 2015). This aspect helps to calculate the revenues and can easily operate the accounting details of related databases. This system can use the unstructured and unpredictable data information system that provides the help to the Mercedes in managing the database. This entire set up helps in identifying the problems related to the bottle necks and solve the errors detected by the SQL. Data applications can merge the applications with the help of the NoSQL operating system. Different Types of NoSQL Databases and its Use in Big Data of Mercedes Types of NoSQL databases Description Use in big data use case of Mercedes Key value store This contains the large amount of hash table data with their concerned key values and information. This is a type of schema that follows NoSQL format of database. This schema deals with the key value information stored in the hash tables. Therefore, this schema can be used in Mercedes to maintain their auto generated databases. Document bases storing system This database application of the SQL server helps to identify the tagged elements concerned with the non-relational databases (Cevher et al. 2014). In this type of NoSQL database, the key values and data storage features are used for checking the values. This feature will help Mercedes in storing the data with the data storage system concerned with the encoding structure of the NoSQL database. Column based storing system In this database management application, the No-SQL tagged elements are used. In this type of application, the column based system mainly focused in order to capture and block the storages. This type of database schemas uses the storage of the data related to the column cells. This aspect can helps to arrange the databases of Mercedes for managing the big data storage. This aspect will be helpful in managing aggregation of data on a single column basis. Graph based system This is a network-based database that uses the nodes and edges, which is represented and stored within the system table (Chen et al. 2012). This is a graph based schema that is used for the pictorial representation of database based on flexible and available data values. This feature can provide the transformation of schemas through one structure to another. In contrast with the structure of the database the nodes and links are helpful in forming a relation within the databases and other structures. Role of Social Media in Organizations Decision Making process Social media plays a great role in big data analytics in order to manage the data within the several organizations. The relational and No-SQL databases related to the big data management helps to make decisions within the concerned organization. In this report, the concerned organization is Mercedes (D'Anca et al. 2016). It is helpful for managing the databases within data analytics platform. This application of big data helps in decision-making perspective. The business objectives and goals become more oriented towards social life and perspectives. In case of the previous applications of SQL databases, it is clear that at that time the social media disrupted traditional operations (Fisher et al. 2012). The traditional influences cycle related to the NoSQL database the social media is helpful in promoting the features of big data. The managers of Mercedes are helpful in using and promoting the big data analytics with the help of the social media. The social media to the big data analytics provide several facilities. These facilities are described as follows: Social media helps the peers and coworkers to maintain their track of collaborations The big data can access the information that are cannot be accessed at many rural areas, this can be easily promoted by social media (Ghazal et al. 2013). Mercedes can showcase themselves with the help of social media Review of the customers can be easily available with the help of the social media platform This entire system increases the space of collaboration Cost benefits and social collaborations can easily be achieved Information reliability of the system is increased with the help of the social media (Hu et al. 2014). Research on the business decision all over the global market can be easily done with the help of the social media Evaluation of Big Data Value Creation Process The big data value creation process is very much essential for the betterment of the organization. In contrast with the company chosen in this report for evaluating the impact of big data on Business intelligence are elaborated in this report. The applications of big data combines all the process related to the data management process (Kambatla et al. 2014). All the applications that are involved within the data management system used to meet the customer requirements. All of these processes mentioned within the big data management system meets the requirements of the customers. Several aspects must be involved within the value creation process of the big data. These aspects are explained as follows: Big data can provide the information to design the automotive structures for the future aspects of Mercedes Big data provides the chance to design the architecture in a in a feasible way Supply chain management in the automotive industry can be done with the help of big data Data gathered for the manufacturing process helps to accumulate the architecture important or the Mercedes Conclusion Big data is being used in organizations as well as in the social media and other data sources. Integration of the advanced analytics for using the big data is an essential step for achieving the good returns from the investments on information system. In this report, the importance of big data has been discussed with respect to the objectives and goals of Mercedes. All the important strategies mandatory for the customer data management is discussed here. In addition to this, the technology stack important for this organization has been discussed. In contrast with the concerned scenario of Mercedes, implementation of big data is analyzed. NoSQL for big data analytics are discussed with respect to the objectives of Mercedes that they have to deliver driving safety to their customers. References Alexandrov, A., Bergmann, R., Ewen, S., Freytag, J.C., Hueske, F., Heise, A., Kao, O., Leich, M., Leser, U., Markl, V. and Naumann, F., 2014. The Stratosphere platform for big data analytics.The VLDB Journal,23(6), pp.939-964. Analytics, B.D., 2013. Big data analytics for security. Bennett, P., Giles, L., Halevy, A., Han, J., Hearst, M. and Leskovec, J., 2013, October. Channeling the deluge: research challenges for big data and information systems. InProceedings of the 22nd ACM international conference on Conference on information knowledge management(pp. 2537-2538). ACM. Buyya, R., Ramamohanarao, K., Leckie, C., Calheiros, R.N., Dastjerdi, A.V. and Versteeg, S., 2015, December. Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions. InParallel and Distributed Systems (ICPADS), 2015 IEEE 21st International Conference on(pp. 75-84). IEEE. Cevher, V., Becker, S. and Schmidt, M., 2014. Convex optimization for big data: Scalable, randomized, and parallel algorithms for big data analytics.IEEE Signal Processing Magazine,31(5), pp.32-43. 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. D'Anca, A., Conte, L., Palazzo, C., Fiore, S. and Aloisio, G., 2016, April. A big data approach for climate change indicators processing in the CLIP-C project. InEGU General Assembly Conference Abstracts(Vol. 18, p. 18285). Fisher, D., DeLine, R., Czerwinski, M. and Drucker, S., 2012. Interactions with big data analytics.interactions,19(3), pp.50-59. Gandomi, A. and Haider, M., 2015. Beyond the hype: Big data concepts, methods, and analytics.International Journal of Information Management,35(2), pp.137-144. Ghazal, A., Rabl, T., Hu, M., Raab, F., Poess, M., Crolotte, A. and Jacobsen, H.A., 2013, June. BigBench: towards an industry standard benchmark for big data analytics. InProceedings of the 2013 ACM SIGMOD international conference on Management of data(pp. 1197-1208). ACM. Hu, H., Wen, Y., Chua, T.S. and Li, X., 2014. Toward scalable systems for big data analytics: A technology tutorial.IEEE Access,2, pp.652-687. Kambatla, K., Kollias, G., Kumar, V. and Grama, A., 2014. Trends in big data analytics.Journal of Parallel and Distributed Computing,74(7), pp.2561-2573. Kwon, O., Lee, N. and Shin, B., 2014. Data quality management, data usage experience and acquisition intention of big data analytics.International Journal of Information Management,34(3), pp.387-394. Lazer, D., Kennedy, R., King, G. and Vespignani, A., 2014. The parable of Google flu: traps in big data analysis.Science,343(6176), pp.1203-1205. Mercedes-benz.co.in. 2016.Welcome to the official website of Mercedes Benz India. Explore the information on the range of vehicles.. [online] Available at: https://www.mercedes-benz.co.in/content/india/mpc/mpc_india_website/enng/home_mpc/passengercars.html [Accessed 29 Sep. 2016]. Moniruzzaman, A.B.M. and Hossain, S.A., 2013. Nosql database: New era of databases for big data analytics-classification, characteristics and comparison.arXiv preprint arXiv:1307.0191. Rahm, E., 2016. Big Data Analytics.it-Information Technology. 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. InSystem Sciences (HICSS), 2015 48th Hawaii International Conference on(pp. 1531-1540). IEEE. Shang, W., Jiang, Z.M., Hemmati, H., Adams, B., Hassan, A.E. and Martin, P., 2013, May. Assisting developers of big data analytics applications when deploying on hadoop clouds. InProceedings of the 2013 International Conference on Software Engineering(pp. 402-411). IEEE Press. Slavakis, K., Giannakis, G.B. and Mateos, G., 2014. Modeling and optimization for big data analytics:(statistical) learning tools for our era of data deluge.IEEE Signal Processing Magazine,31(5), pp.18-31. Sun, J. and Reddy, C.K., 2013, August. Big data analytics for healthcare. InProceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining(pp. 1525-1525). ACM. Talia, D., 2013. Toward cloud-based big-data analytics.IEEE Computer Science, pp.98-101. Tan, W., Blake, M.B., Saleh, I. and Dustdar, S., 2013. Social-Network-Sourced Big Data Analytics.IEEE Internet Computing,17(5), pp.62-69. Tsai, C.W., Lai, C.F., Chao, H.C. and Vasilakos, A.V., 2016. Big Data Analytics. InBig Data Technologies and Applications(pp. 13-52). Springer International Publishing.

Luther Gulick Essay Research Paper free essay sample

Luther Gulick Essay, Research Paper # 8220 ; One of the most singular personalities to go forth an imprint upon YMCA physical instruction was Luther Gulick # 8221 ; ( Johnson, 1979, 55 ) . Gulick, whose parents were missionaries, was born in Honolulu, Hawaii in 1865. For 15 old ages he traveled extensively because of his background as a kid of missionaries. Finally, in 1880, he was able to decelerate his travels and travel to Oberlin College until 1884. While at Oberlin, he suffered from concerns caused by hapless eyesight.Also during his stay at Oberlin, he roomed with another outstanding physical pedagogue, Thomas Wood who subsequently made a name for himself at Stanford and Columbia and encountered Dr. Delphine Hanna, who was a taking innovator in adult females # 8217 ; s physical instruction. In the autumn of 1885, Gulick entered a in-between preparatory category, but besides took some college categories to foster his instruction. Shortly after his stay at Oberlin, he went to Sargent School of Physical Training in Cambridge, Massachusetts for a period of six months. We will write a custom essay sample on Luther Gulick Essay Research Paper or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page In April of 1886, he became the physical manager of the YMCA in Jackson, Michigan, but subsequently resigned to come in the Medical School of New York University. Gulick managed to prosecute his medical preparation plan and besides execute his responsibilities as an teacher at the YMCA in Springfield, Massachusetts. In October 1887 Gulick was employed by the International Committee on a parttime footing to function as the international secretary for physical work. He held this place for 13 old ages. Finally in March of 1889, he completed his medical plan. In the same twelvemonth, he was named the overseer of the Springfield YMCA. In May 1891 a paper read before the secretariat at a convention in Kansas City, clearly stated the function that physical instruction could play within the model of recognized theological process. Gulick said, # 8220 ; Our physical instruction should be all around ; have mention to religious and mental growing ; be educative and progressive ; give each adult male what he separately demands and be interesting. Our typical methods are the leaders # 8217 ; corps, the developing category, and the relation of the physical to the other sections of our work. # 8221 ; ( Johnson, 1979, 56 ) . In this same twelvemonth, Gulick established a correspondence class for physical managers. Gulick was influenced by Dr. G. Stanley Hall, a taking psychologist of his clip and of Johns Hopkins University, to the ideals of integrity and symmetricalness. In Gulick # 8217 ; s attempts to seek these ideals, he tried to accomplish harmoniousness, order, and balance in the elements of life. For the first clip in his calling, he taught a class in the psychological science of drama for athleticss psychological science in 1899. While employed at Springfield, his thoughts of physical instruction were originative, progressive, and experimental in its attack. Gulick was ever quick in making things and ever scampering about proving new thoughts and theories and acquiring rid of those that he found invalid. He believed that the intents of physical instruction were to be better served through the usage of competitory athleticss alternatively of body-building. In 1903, he became the manager of physical instruction in Greater New York. During this clip he was instumental in the preparation of a doctrine of physical instruction. Towards the terminal of his calling, he was an adviser to the Spalding Brothers Company, who made hoopss, a president of the War Work Council of the International Committee of the YMCA, and served as president for both the American Physical Education Association and the Public School Physical Training Society. In August of 1918 at summer cantonment in South Casco, Maine, Luther Halsey Gulick died. His ill-timed decease cut short the calling of one of America # 8217 ; s most original pedagogues and societal workers at a critical point in his calling. Bibliography 1. Gulick, Luther H. ( 1920 ) . A Doctrine of Play. Charles Scribner # 8217 ; s Sons. 2. Johnson, Elmer L. ( 1979 ) . The History of YMCA Physical Education. Follet Publishing.