READ & Follow Directions!

Read each slide below and answer each question based on that slide.The topic is BIG DATA & My Research Question is How is Big Data being used by companies to target ads and influence people's opinions?

DIRECTIONS :

1. Summarize slides #1-#5 ( this answer should not be a short summary answer )
2. Answer this Research question, How is Big Data being used by companies to target ads and influence people's opinions?
3. Why is this topic ( Big Data ) important?

SLIDE #1: INTRODUCTION -Companies may build a helpful customer experience by utilizing the large amount of data generated by social media users. This large data can be social media comments, search history, social media activities, or even purchases. This type of data from throughout the channel can be used to create personalized offers that customers want to see.

Advertisers can employ big data analytics to detect social media trends that will help them make better decisions. Companies could, for example, decide which ad campaign or email newsletter to start next, or when to begin their numerous valuable, among other things. Big data can provide important insight into what products consumers want to buy and when they want to buy them. Furthermore, by gathering product reviews and users' personal input, firms can launch a new product line or better customize existing products to the needs of their clients.

SLIDE #2: MAIN POINTS #1 -In spite of the growing significance of big data in commercial settings, the resource analyzes how there is a paucity of research that investigates the potential of technology for marketing, and the use of big data in marketing operations which have received a very little amount of attention. This analysis, in my opinion, offers a response to the question, "What are the perceived benefits of employing big data in the marketing operations of a firm?"

SLIDE #3: MAIN POINTS #2 -Businesses have been compelled to adopt modern technologies in order to maintain their competitive position in the market as a result of the increasing complexity and interconnectivity of supply chains, the search for greater efficiency in production processes, and the need to establish strong customer relationships. A timely summary of current information that can be utilized to advise marketers and decision-makers in the process of building marketing business models based on the rising role of Big Data is provided by the systematic review of the relevant literature, which also adds to the study's value.

SLIDE #4: MAIN POINTS #3 -Big Data is one of the significant inputs for data; however, because there are a variety of channels and sources, it is essential to distinguish between information that is helpful and information that is not for the purpose. Empirical studies, in connection to the subject at hand, concentrate on the observable or quantitative components of Big Data, particularly for marketing analytical purposes. These studies utilize a number of methodological approaches, including surveys and analytics, to gather their data. In addition, marketing intelligence teams need to figure out how to value the data and information they collect for decision-making. Big Data is a big source of information, but it's vital to sort through the channels and sources to get the most relevant data. Big Data Origins From Better data management, storage, and social media data are emerging. Facebook, LinkedIn, Twitter, and Google circles data is being used to understand users' broad feelings, interests, and spending behaviors. Big Data is revealing insights that were previously unachievable due to a lack of measurement tools and data-gathering methods. Big Data is transforming businesses by collecting and analyzing massive volumes of data.

SLIDE #5: CONCLUSION -The conclusions of this study are restricted to a small number of publications; hence, the theoretical inferences stated here ought to be tested with the help of alternative methodological approaches such as interviews with subject matter experts and practical research.

Social media big data offers huge promise for monitoring and forecasting consumer behavior. It is possible to analyze the nature of the needs and successfully deliver the ideal solution based on the social media data acquired. It is feasible to get a significant competitive advantage in the market in this manner. To get the most out of this data, however, it is vital to select a database that best meets the demands of the firm.

Big data raises various concerns in society. This is due, in part, to the fear of an invasion of privacy and intentional deception in order to sell something. This is a very fine line, and it is up to businesses to decide how far they will go.