Question

Think about examples where “Big Data” seems to have been used to target you or improve your experience with a firm or organization. Research the effort online to see if you can uncover any details. How does this make you feel on the spectrum spanning from “great service” to “creeped out”?

Answer 1

Answer :

As the environment becomes more digitalized, there is progress in collecting information on consumers, including data documenting buying behavior, interests, and dislikes. Such useful, but different, bits of information come from a variety of sources in a variety of formats. Brands also receive an immense quantity of data from clients. Customer feedback can be gathered in many touchpoints from the purchasing history to social media comments. Additional details on how the personalized experience is affectable to business activities are generated by the contact center metrics such as average response time and first contact resolution. This voluminous and varied information is created by little pockets of useful information and an abundance of other "noise" data, which is called "big data." Big data is different from conventional information because it is unstructured and distributed, making it difficult to understand conventional SQL databases. And there's just so much more of it, of course! That is why we need new means of analyzing big data – to analyze and monetize vast quantities of consumer knowledge – from the Cloud, call centers, indeed from virtually everywhere, you can think of.

The correlación between big data associates has an impact on enhancing customer experience positively; for instance, lower calls can be made to customer care, more precise targeted ads (also reducing overhead) can be carried out and thus more customer loyalty can be improved. The information can then be used to create personal contact between businesses and customers: to improve consumer loyalty through the issue before it occurs, to minimize costs by reducing unnecessary or ill-targeted advertisement and motivational campaigns. Big data is therefore important to connect with customers on an emotional level and to gain their loyalty to better understand how they feel. Customer comments and satisfaction values can be used to improve communications between employees and customers. In case, for instance, customers complain in the tone of an agent or pacing interaction, staff may be trained to develop their soft skills and consult with customers for understanding before progressing to the next phase in the process. In tandem with the behavioral study, back-office service reports can be used to figure out why people engage and what the consequences are. The potential for improving relationships and guided, integrated data approaches are the key to effective client/business interactions and experience – brands and companies must communicate better for improved performance.

Advertisement across interconnected networks often overwhelms customers. Most marketing agencies go too far – jumping the "creepy" line. In other words, they cross the line on which consumers feel transparent. It, of course, is a rather disagreeable feeling. The dark side of the big data is probably most clearly known by the customer, not the business. The business is not the customer. When your consumers think your data use is crepuscular, your data use is crepuscular. Indeed, massive data analytics can be extremely powerful. But, as the saying goes, great responsibility comes with great strength. As we change the calendar to October, a month known for the scary, the dark side of big data is now not the best time to talk about. Big data can become pretty crapy and pretty fast if they are not handled properly and with ethical consideration and procedural practice. But if a company and its deals tend to track wherever you go and your every move online, the line has probably been crossed. The combined data pieces led to the discovery that, while the customer was never supposed to reveal her pregnancy or wanted to receive discounts on pregnancy-related products, the customer was pregnant. When corporations openly abuse data, the dark side of big data is the worst. Data abuse takes many forms, but it can generally be understood that any case in which an enterprise uses data for another reason than the reason for the disclosure. There are clear abuse examples, such as when an insurer gathers blood pressure data for market analysis and uses this data to raise risk consumer premiums. No moral code or other ethical framework is detailing the standards of your business about the use of customer information? Draft one up for customers data securities. It clear that the company wants its staff to uphold expectations.The bulk of the Big data analytics dialog focuses on their immense potential for better changing the planet. It is up to them, the consumers and maintainers of massive data to do so ,but definitely not foster creepy experience in consumer mind.

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