Preview

Big Data

Best Essays
Open Document
Open Document
3377 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
Big Data
Essay 1
A look at almost any of the marketing magazines from the last six months will uncover a large number of articles on “big data”. Examine the subject and discuss how it is relevant to companies like Tesco.

Introduction to Big Data

In 2012, the concept of ‘Big Data’ became widely debated issue as we now live in the information and Internet based era where everyday up to 2.5 Exabyte (=1 billion GB) of data were created, and the number is doubling every 40 months (Brynjolfsson & McAfee, 2012). According to a recent research from IBM (2012), 90 percent of the data in the world has been created in the last two years alone, and Internet activity in each second today will generate more data than all the data combined in the Internet 20 years ago.

Networks and the cloud technology allow processing power and data storage cost to be at a relatively low price which result in the huge database collection and global access (Press, 2012). By developing algorithms, Big Data enable us to have a better prediction of what will happen in the future based on previous data and allow us to make better decisions (Brynjolfsson & McAfee, 2012). The emerging data-driven economy can be categorised by two main characteristics which are the abundance and complex data, and the real time speed of change (Johnson, 2012).

Big Data is not just about being large in size but also about the variety of both structured and unstructured data. “It can be captured, communicated, aggregated, stored and analyzed which is now becoming part of the function of the global economy” (Brown et al. 2011, p.4). Like Brown said, Big Data can be derived from anything and anywhere. It is not just the closed structured data processed in highly organised databases by corporations, but also those unstructured data from web-browsing trails, post on social media websites, digital pictures and videos, purchase transaction records both online and



References: Anon, 2012. How Tesco is using big data to keep customers loyal [online]. Available from: http://blogs.terrapinn.com/total-customer/2012/06/26/tesco-big-data-customers-loyal/ [Accessed 2 January 2012]. Brown, B., Chui, M. and Manyika, J., 2011. Are You Ready for ‘Big Data’?. McKinsey Quarterly, (4), pp.24-34. Brown, B., Bughin, J., Byers, A., Chui, M., Dobbs, R., Chui, M., Roxburgh, C., and Manyika, J., 2011. Big Data : The next frontier for innovation, competitio, and productivity. McKinsey Global Institute Research, pp.11-146. Brynjolfsson, E. & McAfee, A., 2012. Big Data: The Management Revolution. Harvard Business Review, 90 (10), pp. 60-66,68,128. Corn, A. and Nguyen, H. and Parameswaran, A., 2012. Big Data. The AMC Magazine for Student, 19 (1), pp. 7-8. Davey, N., 2012. What is Big Data and how can it be applied for marketing? [online]. Available from: http://www.smartinsights.com/goal-setting-evaluation/web-analytics-strategy/an-introduction-to-big-data/ [Accessed 28 December 2012]. Grant, I., 2012. Tesco uses customer data to stride ahead of competition [online]. Available from: http://www.computerweekly.com/news/1280095684/Tesco-uses-customer-data-to-stride-ahead-of-competition [Accessed 2 January 2013]. IDC, 2012, Open Wide: Global Digital Information [online]. The Economist. Available from: http://www.economist.com/node/21554743 [Accessed 28 December 2012]. Johnson, E., 2012. Big Data + Big Analytic = Big Opportunity. Financial Executive, 28(6), pp. 50-54. Lohr, S., 2012. The Age of Big Data [online]. The NewYork Times. Available from: http://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-world.html?pagewanted=1&_r=1 [Accessed 28 December 2012]. Lohr, S., 2012. Sure, Big Data Is Great. But So Is Intuition [online]. The NewYork Times. Available from: http://www.nytimes.com/2012/12/30/technology/big-data-is-great-but-dont-forget-intuition.html?_r=0 [Accessed 28 December 2012]. Mervis, J., 2012. Agencies Rally to Tackle Big Data. Science, 336 (6077), pp. 22. Miller, P., 2012. Tesco uses data for more than just loyalty cards [online]. Available from: http://cloudofdata.com/2012/10/tesco-uses-data-for-more-than-just-loyalty-cards/ [Accessed 2 January 2012].

You May Also Find These Documents Helpful

  • Good Essays

    "By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know- how to use the analysis of bigdata to make effective decisions"…

    • 496 Words
    • 2 Pages
    Good Essays
  • Powerful Essays

    References: Brown, B., Chiu, M., Manyika, J. (2011), Are you ready for the era of big data? Retrieved…

    • 1755 Words
    • 6 Pages
    Powerful Essays
  • Good Essays

    Week 6 Discussion 2

    • 582 Words
    • 3 Pages

    Any organization wishing to maintain a competitive advantage can benefit from big data management and analytical tools. When properly utilized, big data can increase efficiency, productivity, and predict future market conditions (Laudon, p. 231). As processors become faster and more affordable, big data management will become a necessary component of all organizations. The actual benefit from big data will lie in the ability to analyze and apply the vast amounts of information that are flooding databases at all times.…

    • 582 Words
    • 3 Pages
    Good Essays
  • Good Essays

    However, as mentioned in “Blown to Bits,” a book wrote by well-edified engineers regarding the future of technology, we have fallen in love with the always-on world. We accept our loss to privacy in exchange for efficiency, convenience, and small price discounts. Social media is an exemplary factor of our loss to privacy and if an individual opts for it, they must also accept the consequences of providing a digital database with sensible…

    • 382 Words
    • 2 Pages
    Good Essays
  • Powerful Essays

    Many companies are successful in understanding how to meet customer expectations, gain new customers and increase productivity and efficiency by using business intelligence and data analytics. The tools and techniques used by business intelligence give real time insight so that companies can identify opportunities, risks and track trends quickly. Collecting data alone is useless until it is analyzed. This is where data analytics come in. Data analytics is the process of obtaining and evaluating data using specialized software with the purpose of extracting useful information. (4) Data analytics is used in many industries to allow companies and organizations to make better business decisions quickly. The speed at which data is collected, organized and evaluated is critical given the speed at which technology continues to change. I believe more and more companies are utilizing data analytics so they can gain advantages over their competitors. Technology is obtaining more data than in the past so companies are seeking better ways to receive value from that data. The term business…

    • 1233 Words
    • 4 Pages
    Powerful Essays
  • Powerful Essays

    Năstase, P., & Stoica, D. (2011). A new business dimension – Business analytics. Accounting & Management Information Systems / Contabilitate Si Informatica De Gestiune, 9(4), 603-618.…

    • 1404 Words
    • 5 Pages
    Powerful Essays
  • Satisfactory Essays

    This course is focused on teaching you the fundamentals and concepts of Business Intelligence in Supply Chain & Marketing. It will help you to understand what business intelligence (BI) and big data are, what drives the adoption of BI by leading companies, what its components are and what the technical and organizational issues are that most affect BI’s success.…

    • 720 Words
    • 5 Pages
    Satisfactory Essays
  • Good Essays

    Demchenko, Zhao, Grosso, Wibisono, & Laat (2012), have described the five primary characteristics of health care big data as five V’s: Volume, Velocity, Variety, Veracity, and Value. Volume refers to vast amounts of health-related data created and accumulated continuously. In 2011 alone, the U.S. healthcare system has reached 150 exabytes, and soon will reach the zettabyte (1021 gigabytes) scale and, not long after, the yottabyte (1024 gigabytes) (Raghupathi & Raghupathi, 2014). Velocity applies to the constant flow of new data accumulating at unprecedented rate, variety pertains to the level of complexity of the data, veracity measures includes questions of trust and uncertainty with regards to data and the outcome of analysis of that data, and value evaluate show how good the quality of the data is in reference to the intended results. (Herland, Khoshgoftaar, & Wald,…

    • 648 Words
    • 3 Pages
    Good Essays
  • Powerful Essays

    Labor Union At Google

    • 1874 Words
    • 8 Pages

    Google also uses disruptive technology with other applications, devices and programs like Android, Gmail, Google Drive, and Google Docs. Google’s uses big data with its search engine by recording the search patterns and trends of the billions of users. After a specified period of time Google analyzes this data. This allows for them to make their browser even better than previously before. It is clear that Google is involved with many forms of information technology, however Google’s most extensive use of technology can be observed in its search engine. Since Google is in such demand by its consumers, Google has to consistently improve and expand it to keep up with the demands of…

    • 1874 Words
    • 8 Pages
    Powerful Essays
  • Better Essays

    “Every step we take, every move we make, “Big Data” is watching us. Our computers,…

    • 1353 Words
    • 6 Pages
    Better Essays
  • Better Essays

    The Rise of Google

    • 1772 Words
    • 5 Pages

    Business Intelligence, encompassing the ideas of data analytics, processing, and reporting, is best shown through the development of Google by Larry Page. Larry Page graduated as a star of his class with a Bachelor of Science in Engineering from University of Michigan in the early 1990s. Larry flashed signs of his impending mastery early on, but really shone through in a senior level class at UM designed for brainstorming and choosing a senior project. According to his professor, Elliot Soloway, most students would choose a project that would assure an easy, passing grade. However, as he would recall the conversation with Page, “He proposed a project, and I don 't remember the details, but I specifically remember I said 'Larry, I don 't know if you can do that”. Page simply responded with, “I don 't know either but I 'm going to give it a shot” (Eadicicco 2014). Professor Soloway recalled being so impressed with the enthusiasm and fervor Page showed in this project, he decided early on that despite the results, he would not dock Page’s grade. This never became an issue, as Page was successful in completing the project, earning a perfect A+ for its successful completion (2014).…

    • 1772 Words
    • 5 Pages
    Better Essays
  • Good Essays

    Advent of tablets and smart phones has digitally empowered the consumer. They can engage with the various service and product providers and consume content through an ever widening range of devices and platforms. Similarly the marketer on the other hand could also become privy to all this data getting generated. The only challenge is to streamline the data in such a way so that it adds value to the various consumer wants and needs. Here comes the role of big data. There were always ways and opportunities for a marketer to deliver to the targeted consumer base. What they often missed is the full view of the scenario. The holistic view of the situation was lacking in the…

    • 605 Words
    • 3 Pages
    Good Essays
  • Best Essays

    Big data is the latest buzzword in the tech industry, but what exactly makes it different from traditional BI or data analysis? According to MIT Sloan Management Review, big data is described as “data that is either too voluminous or too unstructured to be managed and analyzed through traditional means” (Davenport, Thomas, Barth, & Bean, 2012). Big data is unlike conventional mathematical intelligence, where a simple sum of…

    • 2200 Words
    • 9 Pages
    Best Essays
  • Better Essays

    Thomas H. Davenport, P. B. (2012, July 30). How ‘Big Data’ Is Different. Retrieved May 13, 2013, from MIT : http://sloanreview.mit.edu/article/how-big-data-is-different/…

    • 1528 Words
    • 7 Pages
    Better Essays
  • Powerful Essays

    Bigdata

    • 3467 Words
    • 12 Pages

    A recent survey at the big data Retail forum summit in Chicago suggests 80% of the retailers are aware of big data and 67% are either already in the process of building a big data strategy. With data collection at various touch points ever-growing, and technology enabling data collection and analysis, companies have raced towards adopting BI (Business Intelligence) and big data solutions to earn competitive advantage. The term big data refers to solutions that can handle data that characterizes 4Vs viz., Volume, Velocity, Variety and Veracity. While insights on to merchandising, procurement was nothing new, customer analytics has unleashed the real big data capabilities enabling companies to arrive at insights that were earlier close to impossible. In retail parlance, consumer shopping behavior, preferences etc. are data that was a rarity in itself. Thanks to changing consumer mindset. Consumers are increasingly ready to share data and also allow data capturing by retailers; but a recent IBM study concludes that all such acceptance is with expectations that the retailers would honor their privacy and provide value in return. Big data solution provides have been able to demonstrate ROI (Return on Investment) for retail firms that have invested into these technologies. Changes in consumer buying modes, increased purchasing power in a hypercompetitive industry has coerced the industry to adapt to such changing patterns. Omnichannel retailing is the norm of the 21st century. Retailers are continuously bothered by this multichannel importance that customers showroom but yet dynamically change the channel where the ultimate sale is completed. The intrinsic change in patterns around shopping behavior has been a source of research for retailers and their big data solution vendors. CRM (Customer Relationship Management), loyalty programs and corporate data responsibility are some of the key focus areas today.Keywords: Omnichannel retail, consumer shopping…

    • 3467 Words
    • 12 Pages
    Powerful Essays