Application of Big Data In Business

Question: Discuss about the Application of Big Data In Business. Answer: Introduction The advancement of technology and its adoption in running of various businesses has shown great strides made by different organizations and companies. Technology has been identified as an essential item in the running of any business, and various managers and business owner have incorporated its use in the businesses(Bughin, Chui, Manyika, 2010). The ever advancing technology led to the innovation of Big Data Solutions, which has been accepted by many businesses and organizations in running their businesses. Understanding Big Data Solutions According to (Paper, 2013), Big Data can be said to be the combination of large volumes of data in terabytes or petabytes from different data sources that are distributed physically. These data are often unstructured, structured, semi-structured and poly-structured. Some of the data are generated at very high speed and sometimes expired at the very same high speed(Chaudhuri, Dayal, Narasayya, 2011). The White paper says that for a significant value to be realized by the organization, then various aspects are combined in the big data. These aspects include; the large data volumes, the different data types, the varied lines of evidence and the high speed in which they are generated. The Big data, according to (Chen, Chiang, Storey, 2012), provides a prospective fortune trove that is not traditional, fewer well thought-out records that can be extracted for helpful data. Examples of these structured data can be from social media platforms, emails, sensors and photographs/ videos.(Chen, Chiang, Storey, 2012), further illustrates that Big Data is a combination of these three types of data; Traditional enterprise data that incorporates transactional data, information from customers, general ledger data and web store transactions. Sensor/ machine generated data. It combines all the data from call detail record, manufacturing sensors, web logs, gear logs, elegant meters, and trade system records. Societal records that encompasses social media platforms, micro blogging websites, and customer feedback streams. Technologies Available for Big Data Big data require different kinds of technologies majorly software, and according to Oracle (2013), some of these Softwares include; (NoSQL) database community edition Big Data appliance plug in for enterprise manager Statistical package R Linux Operating System and Java VM Cloudera Manager that administers aspects of Cloudera CDH Apache Hadoop (CDH4); that allows data virtualization and information delivery in real time from various sources. According to(Fan, Lau, Zhao, 2015), various technologies exist for significant data based on Forrester analysis. They include; Predictive analytics that analyzes bug data through deployment of predictive models to mitigate risks and improve the performance of business. Tools for search and knowledge discovery that support self-extraction of information and data from both structured and unstructured sources. Software for stream analysis that can aggregate, filter and scrutinize a large volume of records from numerous different information sources. In memory records fabric; software that enables the dispensation of large quantity of information and enhances the provision of low latency access throughout a computer system. Mongo DB, Amazon Elastic MapReduce (EMR), Apache Pig, Apache Spark Couch Base, and Apache Hive. These are tools for data orchestration/integration across all solutions. Selection of the Appropriate Big Data Applications Many organizations and businesses always want to get the best out of all systems they incorporate, and Big Data cannot be left out(Fujitsu, 2012). To select the best Big Data, then the exact unique requirements that will enhance smooth incorporation into the business without any hitches. According to (Gandomi Haider, 2015), these three major requirements and steps should be considered; Data Acquisition The infrastructure required for data capturing and acquisition should be able to deliver very low predictable expectancy and capture data in executing straightforward and short queries(Katal, Wazid, Goudar, 2013). These should be able to handle enormous capacities of data frequently in a disseminated environment and support distributed, even, dynamic data. Data Organization The infrastructure required for the Integration of data should have the capacity to operate data at the source in both structured and unstructured formats saves both money and time for moving about huge amounts of information(Lohr, 2012). The infrastructure should also be to deal with comprehensive data processes and support their output. Data Analysis The required infrastructure must be able to sustain deeper analytics in addition to a larger multiplicity data types, deliver quicker response time based on behavioral change, automation of decisions based on models used in analysis and sale to extreme data volumes. Desired outcomes should incorporate features from Hadoop; a system that is used primarily for an organization of structured data sets for analysis of Big Data while maintaining their footprints as data warehouses. Hadoop combines the use of Not Only SQL (NoSQL), which is used as solutions for developer-centric specialized systems and SQL which is the most trusted and secure type of relational database management systems(Mayer-Schonberger Cukier, 2013). An Application of Big Data Solution inMarketing Among the superior technologies mentioned for Big Data, lets talk about Mongo DB for instance as one of the applications used for marketing. According to social media websites, Mongo DB is the software that is designed to enable the storage of data and information in the cloud storage system(DB, 2016). When used, it automatically displays data and allows the balancing of queries across various clusters. The data is managed from redundant servers hence access of data is enabled even when offline and delivered as a service to the end users. According to (DB, 2016), Mongo DB is combined with other software like Hadoop and NoSQL to ensure complex queries are performed while the efficiency and ease of use are maintained. When these combinations are made, advertising is made easier and assessable to the customers and businesses can capitalize on their Big Data marketing hence improved innovation and successes(Mayer-Schonberger Cukier, 2013). The advantages that can be found from using Mongo DB include; It provides both offline and online solutions for a long term analysis. It facilitates informed decision-making processes in the analysis of data and the advertising of products or services. Enhances the combination of both offline and online Big Data technologies. These ensure that data is processed in batches and enhanced joining of multiple documents and maintain operations like the standard deviation(Minelli, Chambers, Dhiraj, 2012). An example is the combination of Hadoop and Mongo DB. It provides a dynamic data model that can be used easily thereby the best online data solution for marketing. Some of the other features in Mongo DB that are mentioned on the site apart from the ones already mentioned include; It enables the creation of ad hoc queries in all the fields involved in the analysis of Big Data hence less costly. Indexing both in primary and secondary indices is enabled for documents used in Mongo DB. Copies of data can be created, written, read o stored/maintained by the use of MongoDB interchangeably in primary and secondary data structures. Balanced distribution of data in a process known as shading over multiple servers and the duplication of data to maintain the system and even keep it running during hardware failure. Despite the above, some disadvantages can also be seen from Mongo DB and include; the security level of data is not 100% guaranteed, stale reads could be returned on failure to read between two different Mongo DB processes and queries against an index may miss documents that are in the course of being updated since they arent atomic. Advantages of Big Data Solutions in Comparison with Rraditional Methods Evolution of technology has made data analysis very easy for the analysts and replaced conventional methods of storage and analysis of data. According to (Press, 2016), the values found in Big Data include; It makes the analysis of data easier since it allows al kind of data, structured, semi-structured or unstructured, unlike the traditional method which only used relational databases that did not allow unstructured and semi-structured data(Russom, 2011). It has made data analysis easier since only relevant information can be queried and leaving out the ones that are not relevant. It accommodates large amounts of data which is not structured and further allows the more efficient access to data due to the flexible query language used. It is different with the rigid query system from the relational database from the traditional method. Differences Between Offline and Online Big Data According to (Zicari, 2012), working with data either offline or online has very different characteristics regarding; Offline Big Data involves applications that change, transform, and manage data in group perspective and do not generate information while, Online Big Data is ingested, formed, managed and modified /examined to maintain equipped applications and the users. The volume of data generated online is higher and from newer sources compared to that which is created offline. This creates a problem in the discovery of quality relevant data, comprehensiveness and scalability and the course of timely scrutiny and delivery of results hence the need for Big Data solutions(Sharda, Delen, Turban, 2013). The management challenges arising from online data since some may be sensitive and need; privacy, security, ethics and proper governance procedures without destroying the reputation of the business(Vera-Baquero, Colomo-Palacios, Molloy, 2013). On the other hand, files containing offline data that contain sensitive information could only be handled by authorized personnel to preserve their privacy until they are worked on. Online generated data faces technological obsolescence problems. Since it is still developing, the data and new technology constantly require newer skills that may end up being costly(Chen, Chiang, Storey, 2012). Offline data, on the other hand, is analyzed by the same methods or newer ones but the system of collection, analysis, and storage may be the same hence fewer inconveniences. Online generated data requires the internet connection to be accessed and worked on while offline data can be accessed and worked on without internet connectivity. The Big Data Impact on Businesses and Organizations Various businesses have seen positive results from Big Data, and according to (Paper, 2013), some include; Many organizations can discover facts and insights about their customers who were hidden in the past. Many businesses and organizations can be able to build up a more meticulous perceptive appreciative of their industry that will lead to a robust competitive spot in the market; improved innovation hence enhanced productivity. It provides a perfect measure for digital advertising and in turn leads to retaining of customers at a less expensive method. There is creation of more accurate measures of assessment thereby the optimization of strategies for distribution and production. The insights and strategies of different suppliers and other competing businesses can be identified from the unstructured data. Discrete information from the markets, market demands, and their operation will be available for the scrutiny and use of the business. Root causes of issues or complaints and comments by customers and the costs of goods and services will be identified from the Big Data hence enables the organizations to adjust. The potential risks that may be facing the organizations and any impending dangers could be identified from the Big Data. Predictions business opportunities and trends that will improve the operational, tactical and strategic decisions can be found from Big Data. Conclusion Technology is ever evolving and many businesses and organizations have adopted it for use in efficient running of their activities. The adoption and incorporation of Big Data into the organization has even led to more effective methods of data analysis. The incorporation of technologies like Mongo DB in marketing of organizational products and businesses. More users will be able to access and be served, more insights will be created and used easily and the results will be of more value to the business world. Big data is very important and when correctly managed with the right skills, can produce better results that lead to a stronger competitive position in the market, improved innovation and enhanced productivity. References Bughin, J., Chui, M. and Manyika, J., 2010. Clouds, big data, and smart assets: Ten tech-enabled business trends to watch.McKinsey Quarterly,56(1), pp.75-86. Chaudhuri, S., Dayal, U. and Narasayya, V., 2011. An overview of business intelligence technology.Communications of the ACM,54(8), pp.88-98. 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. DB, M. (2016). Bringing Online Big Data to Business intelligence analytics. A Mongo DB White Paper . Fan, S., Lau, R.Y. and Zhao, J.L., 2015. Demystifying big data analytics for business intelligence through the lens of marketing mix.Big Data Research,2(1), pp.28-32. Fujitsu. (2012). White Paper: Solutions approaches for Africa. 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. Katal, A., Wazid, M. and Goudar, R.H., 2013, August. Big data: issues, challenges, tools and good practices. InContemporary Computing (IC3), 2013 Sixth International Conference on(pp. 404-409). IEEE. Lohr, S., 2012. The age of big data.New York Times,11(2012). Mayer-Schnberger, V. and Cukier, K., 2013.Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt. Minelli, M., Chambers, M. and Dhiraj, A., 2012.Big data, big analytics: emerging business intelligence and analytic trends for today's businesses. John Wiley Sons. Paper, O. W. (2013). Big Data for the Enterprise. Press, G. (2016). Top 10 Hot Big Data Technologies. Forbe.com . Russom, P., 2011. Big data analytics.TDWI best practices report, fourth quarter, pp.1-35. Sharda, R., Delen, D. and Turban, E., 2013.Business Intelligence: A managerial perspective on analytics. Prentice Hall Press. Vera-Baquero, A., Colomo-Palacios, R. and Molloy, O., 2013. Business process analytics using a big data approach.IT Professional,15(6), pp.29-35. Zicari, R. (2012). Big Data: Challenges and Opportunity.

An Absolutely Ordinary Rainbow free essay sample

The word goes round Repins, the murmur goes round Lorenzini  at Tattersalls, men look up from sheets of numbers, 22 the Stock Exchange scribblers forget the chalk in their hands  and men with bread in their pockets leave the Greek Club: Theres a fellow crying in Martin Place. They cant stop him.The traffic in George Street is banked up for half a mile? and drained of motion. Are the crowds edgy with talk? and more crowds come hurrying. Many run in the back streets which minutes ago were busy main streets, pointing: Theres a fellow weeping down there. No one can stop him.The man we surround, the man no one approaches simply weeps, and does not cover it, weeps  not like a child, not like the wind, like a man?and does not reclaim it, nor beat his breast, nor even  sob very loudly—yet the dignity of his weeping holds us back from his space, the hollow he makes about him?in the midday light, in his pentagram of sorrow,?and uniforms back in the crowd who tried to seize him stare out at him, and feel, with amazement, their minds  longing for tears as children for a rainbow. We will write a custom essay sample on An Absolutely Ordinary Rainbow or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page Some will say, in the years to come, a halo  or force stood around him. There is no such thing. Some will say they were shocked and would have stopped him but they will not have been there. The fiercest manhood,?the toughest reserve, the slickest wit amongst us trembles with silence and burns with unexpected judgments of peace. Some in the concourse scream  who thought themselves happy. Only the smallest children and such as look out of Paradise come near him  and sit at his feet, with dogs and dusty pigeons.Ridiculous, says a man near me, and stops  his mouth with his hands as if it uttered vomit— and I see a woman, shining, stretch her hand and shake as she receives the gift of weeping as many as following her also receive it and many weep for sheer acceptance, and more refuse to weep for fear of all acceptance, but the weeping man, like the earth, requires nothing,?the man who weeps ignores us and cries out of his writhen face an ordinary body, not words, but grief, not messages, but sorrow, hard as the earth, sheer, present as the sea—?and when he stops, he simply walks between us mopping his face with the dignity of one?the man who has wept, an d now has finished weeping.Evading believers, he hurries off down Pitt Street.

Mass Media Representation of Men and Women

The contemporary society is made up of different kinds of people shaped by the ideas represented in the media and the popular culture.Advertising We will write a custom essay sample on Mass Media Representation of Men and Women specifically for you for only $16.05 $11/page Learn More Generally, the ideal man is portrayed according to the views of the media and in most cases; many individuals do everything possible to resemble the people represented in the media. Being a black American in a white society has its difficulties as many stereotypes are associated with this particular race. All these stereotypes and differences are majorly influenced by the ideas represented in the media. This is further exacerbated by the position the media plays as an influential agent of socialization that has the capacity to influence even the other agents of socialization such as peers, the family and the family or school institutions. JHally in his documentary â€Å"Des ire, sex and power in music videos†, talks about women and men who are represented in an overly exaggerated manner as opposed to a real representation. He describes the women represented in music videos as a fantasy of the adolescents. The ideal woman is defined as one who is slim and light skinned in complexion, with blonde hair being overly exaggerated as a mark of beauty. The men portrayed in the music videos are also associated with certain features, which include the masculinity aspect.Advertising Looking for essay on communications media? Let's see if we can help you! Get your first paper with 15% OFF Learn More A real man is supposed to be masculine and thus, the girls who get to watch such kind of men may end up losing partners in their lives because they always look for the ideal man as represented in music videos and other visual media. Relationships are represented in a stereotypical manner. For instance, in Katz video â€Å"Tough Guise†, he an alyzes violence, media and crisis in masculinity. In this video, masculinity is analyzed in terms of relationships that exist between the male and other males and the males and females. In both videos, the aspects of racism, classism and heterosexism are represented. People relate with each other in terms of race and class. Thus, the blacks associate with fellow blacks and the whites too. Heterosexism is an aspect that is not strange according to the whites and according to the â€Å"Tough Guise† video male-male relationships are part of their relationships in their society. However, these two videos are against the stereotypes associated with human beings as they urge people to watch all videos with a critical eye. The directors of these videos say that, the media and popular culture can influence our thinking and lifestyle in a great way albeit all the views they represent are not true. The ideas and views in these videos are a mere representation of the adolescents’ fantasies. These representations relate to what I am today since, have always thought that the media represents the perfect man.Advertising We will write a custom essay sample on Mass Media Representation of Men and Women specifically for you for only $16.05 $11/page Learn More Popular culture has had an effect on me, as I have lived to believe that women who are viewed as pretty are petite and light skinned. On the other hand, a man should be masculine for him to qualify as a real man. This exercise has changed my way of thinking as I have learnt that; the men, women and everything that the media represents are all purposely meant to attract an audience. The advertisements, music, and films represent people who are a creation of fiction and not reality. Their representation in the media is more influenced by the need to paint a certain mental picture that only represents what should be ideal as opposed to what should be a reality. This essay on Mass Media Representation of Men and Women was written and submitted by user Saanvi I. to help you with your own studies. You are free to use it for research and reference purposes in order to write your own paper; however, you must cite it accordingly. You can donate your paper here.

Argumentative Essay

Argumentative EssayAn argumentative essay is one that includes arguments as well as supporting facts. A sample of an argumentative essay has many uses and is often the best way to start an argument. The good thing about a sample of an argumentative essay is that it uses the arguments and facts included in the college essay.The best way to make an argument in college is to use a good example. A sample of an argumentative essay will allow you to see exactly what a good argument looks like. It's good to have an example with you when you write your own essay.Arguments should be positive and keep the reader interested. Arguments should be unique and different from all other essays. By using a sample of an argumentative essay, you can see the arguments, their arguments, and any supporting facts included. You'll be able to use these details when you write your own argument.Writing positive arguments and facts will help you out later. You'll be able to save time and energy by knowing how to write a good argument. You'll be able to save time by knowing what kind of essay you want.A good argument also comes with ideas, facts, and ideas. You should be able to express your thoughts with clear and concise writing. If you can't express your thoughts clearly, then you won't have a good argument.Expressing an idea with interesting facts is also important. By using a sample of an argumentative essay, you can see how each fact is stated in the essay. You'll be able to show how each fact is correct by showing all the supporting information. In fact, this is even more important than any written facts in a college essay.An argument should also be based on an idea. It should be based on an idea and supporting facts. You should also be able to express your thoughts clearly and concisely.The best way to write an argument is by using a free sample of an argumentative essay. This will help you write a better essay.

US Trade Deficit essays

US Trade Deficit essays The U.S. trade deficit is the result of a net inflow of capital to the United States from the rest of the world. They have become a net importer of capital because Americans do not save enough to finance all the available investment opportunities in their economy. This inflow of capital from abroad allows the US to pay for imports over and above what they export. The US has been holding a trade surplus since the World War II, a war that harmed much of the most significant international competition for the US industry. Therefore before 1970, the US industry had much to gain from free trade. Nevertheless after 1970, the trade surplus turned into trade deficits, which increased considerably throughout the 80s and the 90s. During the 80s the percentage of GDP accounted by gross saving fell considerably, widening the gap between supply of saving and the demand for domestic investment. Throughout the early 1990s the trade deficit shrank as the economy growth slowed down but increased after the current expansion began in 1992 as the demand for private investment grew. In 1999, the U.S. trade deficit reached a record level. It has been increasing as a share of the economy's total output. The current account rose from 1.4 percent of GDP in 1990 to 3.7 percent in 1999. During 2003 the US registered a trade deficit record of $489.4 billion. The annual trade deficit, reported by the Commerce Department, was 17.1% larger than the previous record shortfall of $418 billion posted in 2002. However US exports made gains in 2002 totalling $1 trillion and a 4.6 %increase from 2002. Declining share of saving. This decline led to a shortage of funds for domestic investment, which caused real interest rates to rise higher, making the US an attractive target for investment. These large net capital inflows have been keeping the dollar strong, ...

Outsourcing Can Help America Research Paper Example | Topics and Well Written Essays - 2000 words

Outsourcing Can Help America - Research Paper Example Whether American residents like it or not, outsourcing has become a glaring reality to the American people. Many American have lost their jobs because of the outsourcing phenomenon. The research delves on the many advantages of outsourcing American jobs to other countries. Outsourcing can be interpreted as good for American business and America as a whole. First, American companies can generate more salary savings. Companies pay the salaries of their employees. When hiring an American employee, the American companies must comply with American labor laws. The labor laws indicate that the company must comply with the minimum wage law. The minimum wage law gives different rates for each job classification. The minimum wage law was instituted in order to prevent the proliferation of abusive sweat shops. The International Labor Organization spearheaded he establishment of minimum wages in many countries. Consequently, different countries have different minimum wages. Likewise, different c ountries have different wage laws (Neumark 20). The scene shows that the United States minimum wage continued to increase through the years. The minimum wage during 1974 was $2.00 per hour. The minimum wage during 1978 was $ 2.65 per hour. The minimum wage during 1990 was $3.80. The minimum wage during 1997 was $5.15. The minimum wage during 2007 was $5.85. ... The law does not apply or infringe on the minimum wage laws of other countries. China has a lower minimum wage law amount compared to the United States. India has a lower minimum wage figure when compared to the United States minimum wage. Consequently, American companies can take advantage of the other countries lower minimum wage laws (Neumark 25). India continues to be the leading outsourcing destination. The company can hire an India company to do the call center jobs that American can do. With the current information technology advances, people anywhere around the world can communicate with one another live. The use of the internet has ushered in the chat technology and video conferencing technology. Under the new technology, an India call center company can take the calls of the American companies’ online current and future customers. American companies can hire the India companies to sell goods and services of the United States companies’ products online. There a re many outsourcing country destinations. South Africa’s outsourcing costs is higher than India’s outsourcing costs. The Russian outsourcing situation indicates there are more language barrier issues when compared to the English speaking India employees. The Czech Republic outsourcing cost is higher than India’s outsourcing cost. Malaysia’s outsourcing employees has lesser talent pools compared to India’s outsourcing source. Mexico’s outsourcing cost is higher than India’s outsourcing cost (Greene 20). The American companies’ customers would not know if the person answering their online or phone inquiries is working within United States or located in another country (Halvey 18). India has been known to be a

Polybius, the Constitution of the Roman republic Essay

Polybius, the Constitution of the Roman republic - Essay Example Polybius begins the analysis of separate magistrates with consuls. The consuls, when they are present in Rome, govern all the people and all the officers except the tribunes, they report to the Senate on all matters and enter the embassy to the Senate, oversee the execution of enactments, summon the national assembly, make proposals, execute orders, have unlimited authority in military affairs, may punish any person in the military camp and spend public funds at their discretion. The senate primarily administers the state treasury; in its jurisdiction are all crimes committed in Italy, it is responsible for the administration of embassies in countries outside of Italy; it decides issues of war and peace, receives the embassy. Polybius emphasizes that people do not participate at all in these events. Realizing that may give the impression that people can do nothing substantial, the author hastens to warn that this is a false opinion. He draws the reader’s attention to the fact that people have a very strong influence on the life of the Roman state, as in people’s hands is the right to reward and punish. From the viewpoint of Polybius these incentives determine people’s entire lives.