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Retail marketers using Big Data to Improve Consumer Satisfaction

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amount of data available for retail marketers is a high in volume and there is no doubt that for the very near future it will increase. With the perception that the amount of data available will increase, companies will need to ensure that measures are in place to get the most beneficial or right information to make strategic decisions. Big Data provides an in-depth understanding of customers’ actions and trends in the marketplace which has invaluable benefits in the retail industry. Marketers have the ability to utilize data to remain competitive especially in an environment that requires innovation on a constant basis. The use of big data can influence how marketers reach the needs of their customers especially in the area of service and satisfaction. Marketers have the capability of offering their customers deals and promotions as soon as data is analyzed. Customers can be targeted based on multiple factors including location; purchasing habits and weather pattern are just
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Xfinity X1 Cloud based DVR Innovation for Satisfaction

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Comcast has revolutionized the cable industry with its cloud based dvr system. No longer are the days when customers recorded on a physical device which would allow them the ability to store limited amount of programs. They are now able to record and save their favorite programs in higher volumes courtesy of the Xfinity X1 dvrs. According to the Xfinity website “X1 Cloud DVR functions just like a regular DVR, but includes new features like the ability to stream recordings to mobile devices and computers with the XFINITY Stream app or from the XFINITY Stream portal ( www.xfinity.com/stream ). In addition, completed recordings can be downloaded to mobile devices for "offline" viewing.” https://www.xfinity.com/support/cable-tv/x1-dvr-cloud-technology-general-faqs/ We have been speaking about technological innovation in coalition with the use of data and the impact they have had on our society. The main impact though is the fact that there is a level of satisfaction an
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Big Data Storage

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Data storage is essential and covers different areas. These areas include management, scalability, economics, performance and protection. To gain an advantage the areas listed will need to be monitored at the highest level. In the area of management it is important to have a system that supports all data types also optimizing data performance and cost through capacity planning, storage utilization and data placement. Managing data properly also includes the process of moving data between systems without disrupting users or applications. The area of scalability ensures that the system functions efficiently when there is a change in size or the volume of data that is present. The system should be fully equipped to handle any sudden change which technically is possible because there are no set amounts of data that may become available. Economics is important especially in the area of business because lower cost operation leads to savings and potential higher profits. For
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Analytics for Marketing and More

We tend to associate data analytics in business from a marketing perspective. Naturally we look at it in that manner because data is normally gathered and analyzed to improve on product offerings or to check on customer shopping trends and so on. Data mining is also used to create more opportunities and improve on customer satisfaction.  If we take for example the fast food industry data is gathered to determine the most consistent spot for ordering food; the time it takes to deliver; customer satisfaction feedback and areas that present new opportunities. For There are multiple ways to get this kind of data, for eg tracking credit card purchases, geographic location for orders, delivery times and online customer surveys. These are all done with the intention of improving customer service and growing the customer base. Inventory. Focusing on marketing is great however there are other areas of the business that benefits through good data analysis. The fast food industry serves as a
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Careers in the Data Industry

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If we are really following the pace at which technology is moving we are forced to realize that there will be a growing need for people to be employed in the industry. The use of data is paramount in many aspects of our everyday lives and is used to influence decision making.  According to Feyzi Bagirov, Professor of Analytics at Harrisburg University of Science and Technology’ “We are entering an era of the Internet Of Things (IoT), and by 2020, about 30 billion objects may be connected to the (IoT), compared to roughly 10 billion in 2013. The amount of data generated will continue to grow tremendously.” https://www.quora.com/What-career-can-a-data-analyst-have-in-the-future It is easy to assume that the field of data technology will require many “hands on board” to fulfill employment shortfalls.  Feyzi Bairov also wrote  “ McKinsey Institute predicted in 2011, that "By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical sk
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TRACKING CAN BE GOOD

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Individuals using cellphones and other internet accessible devices may sometimes suffer a sense of paranoia when they realize that certain data is being gathered by different interest groups.  Whenever people have discussions about the practice of gathering data there are common words used like; creepy , weird and fear of being watched just to name a few. To admit the truth the thought can be frightening at first, for example visiting your favorite store and your smartphone tells you your exact location. This experience may bring the question “I am really being tracked?” The fear of being “tracked” however maybe eliminated when tracking works in a positive way for an individual i.e. the person that assumed they were being tracked now becomes the tracker. How might this be possible one might ask? There is a plethora of apps available that helps tracking people through smart devices. A lot of these applications are available from different app stores, and can be beneficial
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Predictive Analytics in the Financial Marketplace

Retail banking in recent times  focuses on enhancing the experience of their customers and fulfilling their aspirations. Financial institutions have multiple tools abundant to accomplish their goals of meeting their customers’ expectations through data generation and analysis. The industry is at a point where they need to utilize data to satisfy the needs of their customers and gain trust from potential consumers.  Predictive analytics shows the available sources of data, it examines the state of marketing analytics, techniques being applied and also the effect digital interactions with customers will have for growth and change for the future. With the large amount of data financial institutions have the ability to collect and store, it is important to decide which data is important to make strategic decisions that will lead to growth and profitability for the future. The digital world is an important asset for financial institutions that can be used to engage with consumers inter
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