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Supply Chain Management Peper
Supply Chain Management Peper
role of purchasing and supply management
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Introduction
Big data is a relatively recent concept in the marketing world that describes the process of analyzing massive data sets to uncover trends. The data sets are so large that it would be almost impossible to find such trends without high-powered analytical technology. Big data has been facilitated by the ability to gather massive amounts of information about consumer profiles and shopping trends. The primarily facilitators of big data collection are credit card companies and online companies like Google and Facebook that track people's purchasing and computer usage patterns. Big data has been used in a lot of different industries to revolutionize everything from health care to manufacturing to government (Manyika, et al, 2011). Retailers use big data to better understand the "path to purchase" and then adapt their strategies to take advantage of this keener understanding (Macy, 2013). Some retailers have found that the use of big data can increase operating margin by upwards of 60% (Manyika, et al, 2011). This occurs because retailers are able to better-forecast demand for specific types of products and then are better able to sell those products by guiding the consumers through their path to purchase. This paper will analyze the use of big data by retailers, as they adjust to this new technique and find ways to apply it to their businesses.
How Big Data Works
Most marketers are tempted by the promise of big data, but using it effectively is a challenge. Many marketers are still trying to come to grasps with the best applications for big data technology. In order to maximize the gains from big data, marketers need to understand how it works. In general, big data begins with gathering the data. Data se...
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...fs. Retrieved November 13, 2013 from http://www.marketingprofs.com/articles/2013/11924/how-to-harness-big-data-for-better-holiday-shopping-experiences
Hockenson, L. (2013). How big data makes shopping online suck less. Gigaom. Retrieved November 13, 2013 from http://gigaom.com/2013/11/06/how-big-data-makes-shopping-online-suck-less/
Macy, B. (2013). How we shop: Internet of things, big data, social and mobile changes everything. Huffington Post. Retrieved November 13, 2013 from http://www.huffingtonpost.com/beverly-macy/retail-30-internet-of-thi_b_4210230.html
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C. & Byers, A. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey & Co. Retrieved December 11, 2013 from http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation
Data Analytics has significantly grown in less than two years, this quick growth has caused the company to evaluate the IT environment and its ability to support the growth and secure the data of the company. The CEO is expecting the company to grow 60% over the next two years; with the success of the company it has been determined that a change to the current IT environment and infrastructure must occur to better support the employees and the customer base.
In the past number of years data has grown exponentially. This growth in data has created problems that and a race to better monitor, monetize, and organize it. Oracle is in the forefront of helping companies from different industries better handle this growing concern with data. Oracle provides analytical platforms and an architectural platform to provide solutions to companies. Furthermore, Oracle has provided software such as Oracle Business Intelligence Suite and Oracle Exalytics that have been instrumental in organizing and analyzing the phenomenon known as Big Data.
In “High-Tech Tools Help Stores—and Shoppers”, Givens writes, “The more store owners know about their customers’ behavior, the better they can make the shopping experience. They can improve displays, showcase popular merchandise,
Manyika, J. (2011, May 1). Big data: The next frontier for innovation, competition, and productivity. McKinsey & Company. Retrieved May 13, 2014, from http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation
Nasri, Grace. “Why Consumers are Increasingly Willing To Trade Data For Personalization.” Digital Trend. 10 Dec. 2012. Web.
After understanding the possible outcomes and usages of Big Data Mining and Analytics, the study of the process is necessary to identify the real possibilities behind this techniques and how this can improve a business performance. To do this; we should comprehend the basics about data mining and the process that leads from pure data to insights.
In short, the Big Data challenges for organizations and enterprises in today's digital age. Once mastered big data, they will have greater chances of success in today's competitive environment, the world would benefit more from the extracted information more accurately, more useful lower costs. Still the criticism revolves around Big Data, however, the field is still very new and we'll see in future Big Data will evolve like.
Macy’s is an upscale department store founded in New York back in 1858. Since then, multiple stores reside in eight hundred forty locations within forty-five US states. Recently Macy’s purchased Bloomingdale’s, another upscale department store; both companies operate under the same ownership while using two different brands. The current article indicates that Macy’s goal “is to offer more localized, personalized and smarter retail customer experience across all channels.” (Rijmenam, 2012) To help with this goal, Macy’s developed an Omnichannel strategy, created data-driven websites and put to use big data. The Omnichannel approach helps in providing more shopping & sales data through the use of the desktop, mobile devices, by phone or from
Big Data has gained massive importance in IT and Business today. A report recently published state that use of big data by a retailer could increase its operating margin by more than 60 percent and it also states that US health care sector could make more than $300 billion profit with the use of big data. There are many other sectors that could profit largely by proper analysis and usage of big data.
Attracting focus from firms in all industries, Big Data offers many benefits to those companies with the ability to harness its full potential. Firms using small data derive all of the data’s worth from its primary use, the purpose for which the data was initially collected. With Big Data, “data’s value shifts from its primary use towards its potential future uses” (Mayer-Schonberger & Cukier, 2013, p.99) thus leading to considerable increases in business efficiency. Employing Big Data analytics allows firms to increase their innovative capacity, and realize substantial cost reductions and time reductions. Moreover, Big Data techniques can be applied to support internal business decisions by identifying complex relationships within data. However, it is also important to recognize that much of Big Data’s value is “largely predicated on the public’s continued willingness to give data about themselves freely” (Brough, n.d., para. 11). As previously discussed, much of the content of Big Data is unstructured data from social media sites etc., and so if such data were to no longer be publically available due to regulation etc. the value of Big Data would be significantly diminished.
The key strategy implementation efforts at Amazon all surround the use of “big data”. Big data is the growth and availability of large volumes of structured/unstructured data. The use of big data has allowed decision making based upon data and analysis instead of past experience and intuition. Big data has directed organizational change in allowing Amazon to expand from an online book store to an internet giant. Revolutionary application of big data has allowed Amazon to create superior service quality while motivating employees by providing real time information to solve customer issues. Big data has strengthened Amazon’s competitive capabilities by pioneering the application of big data and charging a monthly fee to smaller businesses
In today’s society, technology has become more advanced than the human’s mind. Companies want to make sure that their information systems stay up-to-date with the rapidly growing technology. It is very important to senior-level executives and board of directions of companies that their systems can produce the right and best information for their company to result in a greater outcome and new organizational capabilities. Big data and data analytics are one of those important factors that contribute to a successful company and their updated software and information systems.
For the past couple of decades the majority of businesses have wanted to construct a data-driven organization or company. Furthermore, companies around the world are considering harnessing data as a basis of competitive advantage over other companies. As a result, business intelligence and data science use are popular in many organizations today. The increase in adoption of these data systems is in response to the heavy rise in communications abilities the world over. Which, in turn ,has increased the need for data products. Indeed, the Data Scientist profession is emerging to be one of the better-paying professions due to the urgent need of their labor. This paper is going to discuss what business intelligence is all about and explain data science that is usually confused to be similar to business intelligence. I will tackle a brief overview of data scientists and their role in organizations.
Big data refers to data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage and process the data within a tolerable elapsed time.Big Data has vast characteristic and few of them are showed below.