The Great Gatsby By F. Scott Fitzgerald - 1130 Words

The Great Gatsby This film is based on a book by F. Scott Fitzgerald. Directed by Baz Luhrmann, it exposed how love can be used as a strength to pursue and work hard. It can inspire you so that you may able to reach your dreams. But, it also presented how it can be regarded as a weakness for it can hurt you miserably. The Great Gatsby also talked about how greedy and immoral people can be especially those who are already at the top of the social ladder as well as the people who are climbing their way up. The story was being narrated by Nick Carraway, at first being told to his psychiatrist then eventually being written as a book as an exercise. The background music during narration was a soft piano sound which gave a feeling of regret,†¦show more content†¦But Nick figured out Tom was cheating Daisy for another woman who lives in the Valley of Ashes. It is a town between New York City and Long Island where people from the lower class lives. This small town looks dark and gloomy unlike the tall buildings and bright lights that make the city shine. Suddenly, Nick received an invitation from Gatsby to one of his party where he attended with such eagerness. He saw how fancy the party is from the decorations to the performers. The whole mansion of Gatsby was filled that night with rich and influential people from the city but no one knew who Gatsby really is or even seen him. But Gatsby liked Nick and so he started asking Nick to go with him to different places where eventually he opened up to him. But because of Gatsby’s character, young and rich, he talked about himself with such eagerness and delight making it hard to believe what he is saying. This was accompanied by a fast, bubbly music hinting an adventure and start of a wonderful friendship between the two. Eventually, Gatsby told Nick the truth that he used to court his cousin, Daisy and asked for a favor to invite her for a tea at Nick’s house. Nick said yes. When the two saw each other, you can feel the intense feelings between the two and the awkward meeting. A soft melodic music played that made the situation more real and special. After their heart to heart talk,

Target Financial Analysis - 1288 Words

Juan A. Torres Rodriguez D01596038 Mini Case Assignment Target Corp. started in 1902 as Dayton’s Dry Goods company. At 1911, Dayton’s Dry Goods is renames as Dayton Company, and commonly known as Dayton’s Department Store. In 1946 Dayton’s Department Stores started giving the community back 5% of their pretax profits, a practice that Target Corp still maintains. During the 1960’s Dayton’s create a new kind of store to appeal the masses called Target, opening the first Target store in the Twin Cities on May 1, 1962. The industry sector in which Target Corporation competes is in the retail sector reaching the $62.87 Billion in sales. As mentioned above, Target competes in the retail sector, which makes the operating risks of†¦show more content†¦After this episode in the economy we can see that Target’s stock has recovered significantly. After performing the calculations, Target’s capital structure is optimal. However, the debt to capitalization ratio is high, at 50%. Target needs to lower its Long-Term Debt. Comparing Target’s debt to capital to the industry average, the industry average is 0.36. However I would invest in Target. I think I would have an advantage over outsiders, because I used to work at Target Corporation. Target is a company that is constantly growing, and their sales demonstrate their market advantage over other retailers. What convinced me to invest into Target mostly was the P/E ratio. Comparing it to a corporation like Wal-Mart, which is really successful, Target’s P/E ratio is acceptable and attractive. References 1. Scovaner, Douglas A. (2011). Target 2011 Annual Report. Retrieved on November 18, 2012: https://corporate.target.com/annual-reports/2011/images/company/annual_report_2011/documents/Target_2011_Annual_Report.pdf 2. Stock Analysis on net. (2012). Retrieved on November 18, 2012. http://www.stock-analysis-on.net/NYSE/Company/Target-Corp/Ratios/Long-term-Debt-and-Solvency#Debt-to-Capital 3. Retrieved on November 18, 2012 http://ycharts.com/companies/TGT/pe_ratio 4. Yahoo! Finance. (2012). Retrieved on November 18, 2012. http://finance.yahoo.com/q/bc?s=TGT+Basic+Chartamp;t=5yShow MoreRelatedTarget Financial Analysis1273 Words   |  6 Pagescontents Introduction TARGET Corp ROIC vs. WACC Target Corp vs. Industry ROIC target Corp vs. Industry Revenue Trend Target Corp Operating Expense vs. Industry operating expense as a percent of revenue Target corp Operating Profit vs industry operating profit as a percent of revenue. target Corp Economic Moat Conclusion Works Cited Table of figures Figure 1 Target Corp ROIC vs WACC; Source: Mergent Online; Annual Studies. Figure 2 Target Corp vs. Industry ROIC; Source:Read MoreThe Financial Analysis of Target2246 Words   |  9 PagesFinancial Analysis and Valuation for Target Inc. [pic] CONTENTS: 1. Financial Highlights of Target Business†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 2. Target Financial Analysis†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 3. Valuation Models†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 4. Corporate Finance Strategy†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 5. Investment Recommendations†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 6. The Impact and Implication of Financial Crisis on Target’s Financial Performance †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 7. Conclusions †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ Read MoreTarget Financial Analysis Paper913 Words   |  4 Pagespercent of the total assets were these capital investments? A calculation is used to assess Target and Walmart efficiency that allocating the capital under its control to profitable investments. The return on invested capital gives a sense of how well a company is using their money to generate returns. However, Target sales increased to 4% in 2015 to 2016 but then declined significantly in 2016 to 2017. Target earnings from continuing operations before interest expense and income taxes increased byRead MoreTarget Corp: Financial Analysis2786 Words   |  12 PagesTarget Corporation: A Financial Competitive Analysis [pic] By: O.P. For Econ 2304 Prof. Alexander [pic] Overview Target has been a publicly traded company since 1963, but has been around since 1902. Target was originally part of the Dayton Hudson Corporation which was founded in Minneapolis, Minnesota. In 2000, because Target had become the largest division of the Dayton Hudson Corporation, it became known as the Target Corporation. Target is the secondRead MoreFinancial Analysis Paper for Target2219 Words   |  9 PagesFinancial Analysis Paper Zeyuan Liu Company Profile Target Corporation was founded in 1902 and is headquartered in Minneapolis, Minnesota. Target Corporation operates general merchandise and food discount stores in the United States. It operates as two reportable segments: Retail and Credit Card. The company offers household essentials, including electronics, music, and toys; apparel and accessories; home furnishings as well as seasonal merchandise. 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Running head: Financial Analysis 2 Abstract Running head: Financial Analysis Read MoreNorth American Group Business Unit Controller1483 Words   |  6 Pages(NYSE:AME) (www.ametek.com) is a publicly-traded, diverse company and leading global manufacturer with annualized sales of more than $3.6B and more than 15,000 employees. Headquartered in Berwyn, PA, the Company has a track record of exceptional financial and market success and expects to double revenues within five years. Major strategic thrusts include targeted acquisitions, organic growth via new product development, operational effectiveness, and increasing its global presence. The company’sRead MoreMarketing Analysis : Yum ! Brands Inc.3538 Words   |  15 PagesIntroduction and Industry/Strategy Analysis Introduction Yum! Brands Inc. is the world’s largest restaurant company. From the worldwide it is has more than 37,000 restaurant units in 110 countries and regions based in Louisville, Kentucky. â€Å"In 2009, the company pulled in almost $11 billion in revenue. The brands owned by Yum! Brands Inc. are KFC, Pizza Hut and Taco Bell.† These four brands are global leaders in the categories of chicken, pizza, and Mexican-style food. â€Å"Also Yum! Brands have threeRead MoreFinancial Ratio Analysis Of Hitech Print System Ltd Essay3620 Words   |  15 PagesChapter-1 Executive Summary This project proposed is the study of financial ratio analysis of HITECH PRINT SYSTEM LTD for the two years. This project is aimed towards developing an understanding the various guidelines that the company follows to the feasibility of Capital Budgeting decisions and analyzing the financial ratios. This project understanding formed the basis for conducting the future study necessary to go ahead with their projects. In this process the first step in Ð µxÐ µrcisÐ µ was to have

The Cotton Gin - 1708 Words

The institution of slavery in the southern states of the United States of America was primarily based on economics rather than some type of natural admiration of the practice itself. When the Mason-Dixon line was created in the 1760s, Eli Whitney’s revolutionary cotton gin, which would eventually set slavery in the South, had not been created yet. However, there were still lines being drawn between the more industrial-based economy of the North and the more agricultural economy of the South. Slavery shaped the economic backbone of the South, and as it became more widespread after Eli Whitney’s invention of the cotton gin, it became as strong as the political and social foundation of Southern character as well. Although there were times†¦show more content†¦This production led to an economic strength that made these states even more determined to defend the right to practice slavery. Despite the freedoms demanded in the Declaration of Independence and the freedo ms reserved in the Constitution and the Bill of Rights, such as Amendment X (Document 1), slavery was both tolerated and classified in the Constitution. The South was also able to withstand the growing number of revolts, rebellions, and northern political opposition that was rising. Proclamations such as the Fugitive Slaves Law were established to provide for the return of slaves who escaped from one state into another state or territory, and the Underground Railroad became a serious threat to Southern plantation owners who needed more slaves to maintain their economic power. The Nat Turner revolt and the writings and speeches of the former slave Frederick Douglass were contributors to the growing conflict, but the South defended their claim to economic security through the practice of slavery until it became legally impossible to do so after the Civil War. Frederick Douglass vividly described his past years as a slave in the first of three autobiographies, Narrative of the Life of Frederick Douglass, An American Slave, which was published in 1845. He later wrote the two autobiographies, My Bondage and My Freedom, and The Life and Times of Frederick Douglass, which mark his greatest contributions to southern culture. In The Life and Times of Fredrick Douglass, he

Business Intelligence Using Big Data Business Operations

Question: Describe about the Business Intelligence Using Big Data for Business Operations. Answer: Introduction Big data is developing continuously as a result it helps in producing a large sum of income from the business operations. It is analyzed that the use case of big data requires some special operations and therefore the structure that is produced with the arrangement of hardware and software provides a technological effect. It is stated by Akerkar (2013), that big data analytics are very much useful for outlining new strategies, which helps in managing technology at a faster rate. It also helps in providing precise results from the skills used. In this report, analysis of big data has been used for forming strategies that would help in supporting the decision-making system of a selected organization. IBM is chosen for implementing big data procedure. The procedures or strategies of big data have been created for IBM. The report also discusses stack technology that is used for implementing data analytics. The procedure is associated with the recovery, storage and creation analysis of data. There are number of features that are provided by the big data, and those features include diversity, rapidity and volume in the examination of big data. The main objective of this report is to implement the big data framework for the usefulness of different business operations in IBM. Identification, creation and discussion of business strategy for using of big data in IBM Identification of business strategy framework The implementation procedure of big data in any business needs a framework for understanding the basic operations (Assuncao et al. 2013). IBM needs to construct and implement a big data structure in the operational structure. The two dimensions on which big data framework is dependent include Business objectives and Data type. Figure1: Strategy Framework of IBM for Big Data Source (Assuno et al. 2015) Creation of Business Strategy Framework Transactional Data Methods used Business Intelligence: The technique of business intelligence that is used by IBM is user friendly and thus it helps in interactive and multidimensional data analysis (Begoli and Horey 2012). It also provides different features such as rolling up, reporting the capabilities tools and many more. Cluster analysis: It helps in analyzing those objects that have similar attributes and properties. Data Mining: It is used by the organization for extracting as well as processing new patterns. Predictive Models: IBM creates models in order to predict the results from an activity (Buhl et al.2013). SQL: SQL is used for extracting, inserting and managing the values or data in a database. Vendors It helps in reporting the services and the analysis from the server with the help of Microsoft SQL (Chaudhuri 2012). It also helps in providing the business objectives from SAS, SAP, and Business intelligence by using Oracle. Non- Transactional Data Methods Used Crowd Sourcing: IBM uses the technique of crowd sourcing for getting the required services, content or ideas by soliciting contributions from a huge mass of people (Chen et al. 2012). Textual Analyzing: The organization uses the method of textual analysis for analyzing the different content of communication rather using the structure of the content. Analysis of Sentiments: The organization uses the process of sentiment analysis for determining the results of analysis. The results can be positive, negative or neutral (Demirkan and Delen 2013). Network Analysis: IBM uses the procedure of network analysis for calculating the relationship between the elements of networks and nodes. Vendors Visible technologies, Watson services, Radian6 and many more; Discussion of Business strategy framework of IBM The different business strategy framework of IBM includes: Performance Management: It is very much easy as well as helpful in accepting the analytics as well as database of big data. Performance management is useful in order to determine the multidimensional queries and related analytics in the organization (Gandomi and Haider 2015). For example, the big data strategy framework is used for analyzing the purchasing activity, expected turnover of the organization. It helps the managers in making short times and long time decision as well as plans. The functionality of different business intelligence tools is very much helpful for improving both the management and the business operations of the organization. Data Exploration: The data exploration framework is helpful in using the different procedures of data analytics in order to experiment and answer the questions, which has not been properly thought by the management of IBM (Jagadish et al. 2014). It also helps in implying the different predictive models for managing the user-based behavior in different sections of operation such as management and in transaction department of IBM. Big data helps the organization by supplying information and by designing strategies that would help in retaining the various segments of the users. Social Analytics: Social analytics framework is very much helpful for the organization as it helps in measuring the huge amount of non-transactional data such as reviews and platform of social media. The big data strategy is categorized by the social analytics (Katal et al. 2013). The three wide divisions of big data strategy include awareness, engagement and reach of the analysis. Engagement is helpful in measuring the level of interaction and involvement among the team members. Awareness helps in checking the exposure of knowledge in very group members. The members of the organization are quantified based on the level of knowledge and about any particular business function. Decision Science: Decision science helps in analyzing the data that are not related in to the transaction. The big data helps in exploring the rules and regulation in order to focus on the hypothesis and field research (Lazer et al. 2014). It is very much helpful for the IBM for conducting different feedbacks from the community. It helps in fitting both the ideas and it is also used for developing the value of a product. In order to perform the text analysis of sentiment, it needs listening tools (Liebowitz 2013). IBM uses the tools in order to measure the topics that are related with development and interested products. Identification and aligning the business strategys initiative, objective and the task of IBM Identification of Business strategy Aligning the formed strategy with objective, Initiatives and task Integration of multiple strategies of big data Big data can be implemented for multiple uses and thus the company can levitate for combining the strategies of big data (Lohr 2012). For example, Performance management is useful in gaining better production for forming synchronization with the demands and needs of the customers. Building capabilities of big data It is a technology or a process that is required for supporting the initiatives of big data. A plan must be devised by the expertise in order to implement the strategy of big data (Mayer-Schnberger and Cukier 2013).The organization, IBM has to hire skilled managers for guiding the employees who take care of the big data. It is helpful for creating specific group structures in order to focus on the big data analytics and business management. Proactive creation of big data policy IBM needs to update itself with the guidelines and policies for using the big data (Minelli et al. 2012). It is helpful in accessing non-transactional and social data for creating and accessing business operations. Therefore, IBM is greatly influenced by the security and privacy of the business operations. Analysis of Technology Stack for IBM big data The technology stack of big data analytics of IBM has analyzed some components, which are helpful in forming the analytics. Both external as well as internal data sources are required in the market analysis of IBM, which are shown by the different sources (Moniruzzaman and Hossain 2013). For analyzing data, it creates a lake of data. In order to perform the data analytics procedure, stack technology consists of 3V is which are variety, velocity and volume. Volume consists of various amounts of data that needs to be stored and managed. Variety consists of various types of data that are used in the analytics of big data (Raghupathi and Raghupathi 2014). Variety means the various types of data that are used in the big data analytics. Velocity is defined as a speed in which the data in stack technology are recorded and processed. There are different kinds of stack technologies that are used in order to create the architecture of big data analytics in IBM. PIG: A scripting technology is used for processing and analyzing huge quantity of data sets (Sagiroglu and Sinanc 2013).In order to access the engines, apache pig consists of an architectural structure, which also helps in storing clusters of data. YARN: It is one of the acronyms for resource navigator, which is helpful in large-scale data application for distributing the operating system (Shroff et al. 2013).It is very much helpful in combining both the synchronized as well as central resource managers for reconciliation. Hive: This stack technology is useful in summarizing, querying and for analyzing the data which will be helpful for the business insights (Vera-Baquero et al. 2013).The tables that are present in hive are organized in the pattern of granular units for creating the taxonomy. Data analytics and MDM for supporting the business intelligence and decision making of IBM Data analytics: There are three challenges that are required in the management process of big data. The challenges are sorted with the help of the big data analytics. Right data is selected by them in order to handle the operations of data analytics and for using the insights that are gained for transforming the different operations of business (Waller and Fawcett 2013). Big data analytics helps in managing the big data and helps in advancing their analytics. It is very much beneficial in order to deal with the lack of analytical talent that is needed for implementing the big data analytics. It is helpful in creating new roles for job. Big data is acting as revolution in the fields of analytics measurement and administration. The big data analytics is helpful in driving data for the process of decision-making in the business operations of IBM. There is a lot of difference between the data driven and information collected in IBM. It is analyzed that the chances of data lose is more when the data are stored for longer period (Wixom et al. 2014). Big data analytics and business analytics helps in analyzing the data that were stored long before as a result they helps in creating effective results by using it. IBM is benefitted by the big data analytics because each data has role, which in turn helps in assisting the process of decision-making. Master Data management: A method helps in identifying the most important as well as critical data of IBM in order to create a singular source of data for managing the business. It involves different technological solutions to improve the big data processing as well as management, which includes data integration, quality, and management (Wu et al. 2014).The following characteristic of MDN is helpful in supporting the decision-making system of the organization and its business intelligence. Standard Data view: It is helpful in creating single view in order to authorize the critical business management. The MDN process is used by the IBM data analytics in order to resolve the issues such as data disputation, duplication and many more (Begoli and Horey 2012). For example, two people having the same first name will create a trouble in entering the data as a result big data analytics can be used for drawing their last name and addresses in order to distinguish between the two individuals. Complete overview of the relationship: MDN is a big data analytics that helps in identifying the relationship among the different data entity. It will help the organization in combining one data entity with the other based on the relationship of the coefficient. For example, IBM uses MDN to store the names of the purchaser. Managing interactions: It is used in order to integrate the occurrence and transaction of social interaction between the clients and the operators of the business (Chaudhuri 2012). It will create a bridge between the customers and data channel partners in order to complete the views of the customers of IBM. Design features: The factors behind the efficient and proper management of big data analytics include flexibility of the design model, Variability of model operation and scalability functions (Demirkan and Delen 2013). IBM uses all this features in order to use its data analytics. The MDN system does not need coding for its implications therefore and thus it can be easily applied in IBM. The agility of the software process is helpful in creating the focus of the database on the success of the customers. Analyzing support of NoSQL for big data analytics in IBM NoSQL or non-related SQL is helpful in giving various facilities for the big data analytics, which includes scalability, observable alternative different association of strengths, many multinational organizations like Amazon (Gandomi and Haider 2015). Google uses big data NoSQL for working with the operational database. NoSQL has different characteristics for user-friendly advance, which helps in creating and easing the operations of the business database administration properly (Liebowitz 2013). NoSQL is helpful in empowering most of the organizations. NoSQL consists of various systems such as payroll systems, reluctance system and data processing system. NoSQL will be helpful in processing unpredictable as well as unstructured information system in order to provide help to the big data information management of IBM (Lohr 2012). NoSQL assists in solving different bottleneck errors by processing the unstructured database System (Minelli et al. 2012). Hence, the big data purpose of IBM can be managed by using the system of NoSQL. NoSQL is not required for knowing the structure beforehand. This is because the system does not lack schema orientation (Raghupathi and Raghupathi 2014). The system is helpful in solving the data, which is arised due to acid property of the data analytics. Different types of NoSQL databases and its use in big data of IBM Various types of NoSQL databases Description Use in Big Data use case of IBM Key value store It consists of big hash based table of keys and values Example: Riak used by Amazon The schema format of this NoSQL database is helpful in forming the database that is value based. This type of key is helpful in creating as well as generating auto type of data base system (Sagiroglu and Sinanc 2013). IBM can use the system for creating auto-generated database in big data analytics. Document based store It helps in storing elements that are made up of tagged elements Example: couchDB The database of NoSQL format uses various types of key and value pair in order to store the values of the data (Shroff et al. 2013). It is very much helpful for IBM for creating structure and encoding for managing the big data analytics Column based store Each block of storage consists of data that is formed from one column of the system table Example: Cassandra and HBase In this type of database schema, the data is stored in row cells instead of column cells. It is helpful for IBM as it provides the organization with the ease of accessing and fast searching (Waller and Fawcett 2013).The big data that is stored in this type off scheme is helpful in aggregating the data on a single column. Graph based It is a type of database that uses nodes and edges for storing and representing data over the system table Example: Neo4J Graph based NoSQL database schema is pictorial representation of database that in based on the structure of flexible data values structure (Assuncao et al. 2013). It is helpful as it provides IBM the ease of transformation of scheme from one model structure to different model structure (Begoli and Horey 2012). The graph consists of edges and nodes therefore it in helpful in creating elation among the nodes of the data. Role of social media in the decision making process of the organization The social networking plays a crucial function in big data analytics and management of database. It is very much helpful in creating advertisement of the database administration of big data analytics (Buhl et al. 2013). It is helpful in the process of proficient decision-making processes, which became social. The habitual influential cycle of the functions is disrupted with the help of social media and networking. The manager uses the social networking for informing as well as validating the decisions that are related with the big data. According Demirkan and Delen (2013), the facilities that the social media provides includes: Helps in searching the feedbacks and responses of the customers or clients It helps in enhancing the partnership with others. The reliability of the information is improved (Gandomi and Haider 2015). Business decisions are researched over the global market Helps in accessing information or data that are unavailable everywhere It helps in keeping eye on the co-worker and colleagues (Lazer et al. 2014) Evaluation of Big Data Value creation process The big data formation process is vast probable in any business. The procedure is very much useful in forming a link between the providers and the customers. The procedure of big data consists of various processes, which includes inventory, manufacturing distribution and marketing (Lohr 2012).The products or services have to go through number of procedures in order to meet the needs and necessities of the customers. It is stated by Demirkan and Delen (2013), that the steps that are helpful for the company includes: Manufacture of goods Creating inventory of products and services Study of physical resources (Waller and Fawcett 2013). delivery to retail shops Mass advertising of goods It is stated by Moniruzzaman and Hossain (2013), the value creation procedure of IBM includes: Increase in the number of clients Improving the techniques of the market Optimizing the supply chain (Sagiroglu and Sinanc 2013). Reducing the price of the stir Increasing the turnover of the inventory Enhancing the effectiveness of hiring Conclusion It is concluded from the report that big data analytics is used in order to increase the revenue of an organization. Both hardware as well as software technology have affected the operations of the business. The big data analytics is very much useful in meeting the demands of the customers. It is analyzed that in this assignment IBM is selected for the implementing procedure of big data analytics. The strategies that are used for big data analytics are created using the formation or creation procedure. It is concluded that the big data analytics is very much helpful in creating new technologies and it is extremely helpful in meeting the demands of the customers. References Akerkar, R. ed., 2013.Big data computing. CRC Press. Assuncao, M.D., Calheiros, R.N., Bianchi, S., Netto, M.A. and Buyya, R., 2013. Big Data computing and clouds: challenges, solutions, and future directions.arXiv preprint arXiv:1312.4722. Assuno, M.D., Calheiros, R.N., Bianchi, S., Netto, M.A. and Buyya, R., 2015. Big Data computing and clouds: Trends and future directions.Journal of Parallel and Distributed Computing,79, pp.3-15. Begoli, E. and Horey, J., 2012, August. Design principles for effective knowledge discovery from big data. 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