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Cambridge Analytics Company

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Table of Contents

Introduction. 2

Discussion. 2

The business opportunity of the Cambridge Analytica. 2

How Cambridge Analytica helped in business. 3

What could have been done better before the scandal in 2017. 3

What could have been done better after the scandal?. 4

Value of data for influencing the decision making in politics. 5

Impact of CSR in ethics and society and legislations. 5

Work and service Cambridge Analytica provided for Trumps campaign. 6

Was it right to work for Trump?. 7

The interrelation between the public goodwill or license to operate and data drove technology of a company. 8

Challenges faced by Facebook. 9

Conclusion. 10

References. 11

 

 

 

Introduction

In this assignment, the main emphasis will be provided on the case study of the Cambridge Analytics Company and their role-playing in different areas. The company’s foremost business opportunity will be addressed in this topic, and the way the company has been able to capture its business will also be discussed. The company CEO however, could have taken better precautions before the occurrence of the BREXIT issue and the presidential election afterward thorough a prominent marketing and CSR activity as well as through brand awareness campaigns. The importance of data valuation in business and politics will be practical, along with the significant role this company played in the Trump election. Lastly, the ethical and legal challenges faced by Facebook in the context of Cambridge Analytica with its future implications on Facebook will also be addressed.

Discussion

In the discussion part, the answers to the questions are addressed.

The business opportunity of the Cambridge Analytica

The Cambridge analysis is a company that offers services to the businesses and its political parties who want to change the overall behavior of the audience. It can try to analyze a vast amount of the consumer data and its combination that can try to create a behavioral science to identify the people who organizations can target with the overall marketing materials. Hence the essential prospect has promised to create a big data analysis since it finds sleeping patterns based on the gigantic data source. Thus the private organization such as Facebook in contrast to the government, these have become custodians to the troves of persuading customers in the last couple of decades. All these aspects for Cambridge Analytics to meet the overall business opportunities and risk process (Kehle and Naimi 2019). Therefore the based on the Cambridge analytics to its episode of the data misuse process. The new-age technologies that can process seemingly unrelated data sets that can try to create valuable insights. Here all these factors can decide to make various source of data, social media channels, publically available information, and its data generated by the organizations. On the other hand, the data types are integrated, processed, and cataloged glossaries, and validation. Thus all these processes can try to meet the harvested data, and these are likely to implement the data regulation (Gordon, 2019).

How Cambridge Analytica helped in business

According to the databases collected by the New York Times, the company has been able to meet the multiple state attorneys general. It is launching an investigation in the U.S. into the company’s misuse of the overall personal data of the Facebook company. Hence the company has been sustained in the New York Times report for revealing the global business data during particular times. Furthermore, the differentiated undercover sting reports of CEO Alex Nix had claimed about the company bribing politicians by entrapping the overall candidate’s house. In the context of the 2016 presidential campaign, when the Cambridge Analytica wanted into American politics with the goals of giving conservatives into the big data loss tools to compare the free valuation as well. Therefore understanding the primary big data analysis has helped the company to gain significant promise (Arora and Zinolabedini 2019). Thus the considerable development has been based on detailed mental profits of every American voter. The business campaign can try to pitch the tailor from person to self. The Cambridge Analytica has been able to observe a company’s techniques for the researcher of the company. Here the researchers can try to develop a more significant question survey that can seek to probe personality. Here, the company has gained the business valuation to meet the openness, extraversion, and agreeableness and its primary business aspects of the process’s significant traits (CAMPOS, 2019).

What could have been done better before the scandal in 2017

The Britain channel had stated that Cambridge Analytics Company CEO had used the sex workers, bribe, and misinformation to try and help the following candidates can try to win votes around the world. The Cambridge analysis has claimed the journalists trick the company and the primary business intentions of carrying out the scenarios discussed. Thus on the verge of understanding the political standing (Bourdeau et al. 2019). Hence the major executive strategies have looked to initially deny the entrapment standing. More than a few meetings with the reporter have put forward some plan they could use the techniques. Hence the company CEO could have been tried to meet the following aspects as a whole-

Marketing communication strategy

The marketing efforts can try to begin their dominant business understanding for the business. Hence the products or services have been useful to meet the client’s product and service. The original research plan which the company could have done better. To market their business strategies, the company could have created a unique selling proposition (Luo et al. 2019).

Messages and marketing content

The marketing content is one of the significant essential parts. A perfect material can create a compelling business proposition. However, the USP can create a look to compel and create a secure connection channel for the people to meet the constraints (Richardson et al. 2019).

Communication channels

The communication channel could have played a significant business role in this regard. The communication channels like social media, media coverage, or different other platforms could have paid a substantial part in this regard. The communication channel has made its business understanding. Thus all these processes have generally played the chances (Strom, 2019).

What could have been done better after the scandal?

The so-called pivot to privacy is in a lot of ways of the logical end to the earth-shaking. The responses to the story the process have also plunge facebook into the greatest crisis in the process. Thus nearly years of the crisis demanding that it respect the user’s privacy (Wilson 2019). Furthermore, there are worth thinking back to those of the five days of stillness. Where the processes of dishonor took shape and rehearsed themselves with an uncertainty distribution. Therefore for the Cambridge Analytica story did not discover anything new. Thus the best facts had already been reported. Hence from the publication, the company had created a vast amount of private information about its system. However, it can be said that private information has been able to meet people’s enormous knowledge from its system. The business unit had been able to pass the data along with the process of the order (Sandoval-Almazan, 2020). The business entity could have been praised the past database alongside someone else. Hence it is seen that the company has used the techniques based on political instability. Product awareness and a variety of trust could also play a significant role in the company in this regard (Baptista et al. 2019).

Value of data for influence the choice making in politics

In the context of the data valuation process, corporate social responsibility can try to refer to the commerce initiative that advantage society. All these initiatives can try to fell over these categories—the concept of the triple bottom line, which is related to communal, surroundings, and economical. Hence the businesses of Cambridge Analytics, the companies did not make any corporate social blame gravely and at least fake too when it came to learning the overall business environment, which is known as greenwashing. The consumers have become more conscious and cultured on social issues like global warm and unethical labor practices. These can try to begin the problematic business organization policies that can benefit all the politics and processes rather than meeting the commerce outcome (Cai et al. 2019).

Based on the business bottom line, the significant potential loss of socially conscious consumers, the CSR process can try to impact the business. Hence the ability to attract the top talent and the process can work to create sufficient job satisfaction. Therefore the business ethics, a workforce of a Cambridge analytics company that can create a useful sort of CSR business strategy. Thus for this quality talent in 2016, it can be said that they are working through a see-through business with the goal of responsibility. Hence, in this way, it can be said that the significant business making profits can try to create an effective corporate social responsibility strategy and its top talent to meet the companies accountable to (Zappone et al. 2019).

Impact of CSR in ethics and society and legislations

As far as data processing is concerned for Cambridge Analytics, it can be said that the CSR activities can try to embrace the vital principle of ideas, ethics, and the sustainable development course. This process can try to meet the range of corporate governance, business ethics, and its overall sustainable development process based on human rights, and its environmental concerns have been highly effective in this regard (Samadianfard et al. 2019). These are as follows-

 

Business ethics

The overall ethical businesses can try to assess the moral implications of their action. Thus for the companies point of view, the company to stay competitive, many major business issues have helped to meet business ethics. Therefore, the concept of human rights, environmental protection, and health and safety processes can try to manage the internal and external regulations and governmental mandates (Gabriels et al. 2019).

Corporate governance

From the basis of companies, institutions, and enterprises, the economic balances and its social goods with the hands of the community and individual aspirations are based on the corporate governance stature for the Cambridge Analytics company. Hence, the accepted divisions based on research and responsibilities have an unfiltered decision-making process (Luo et al. 2019).

Work and service Cambridge Analytica provided for Trumps movement

The British information removal groups Cambridge Analytics has gone strangely mastermind as a latent defendant and has played a significant role in President Donald Trump’s election in the year 2016. The group had been backed by strategist Steve Bannon who had played a beginning role, along with the billionaire Robert Mercer and his daughter Rebecca. The firm had been able to develop data from 50 million Facebook users into expressively based policy planning for its targeted voters. The company worked for both Trump’s campaign and Trump’s alleged super PAC. The company had sent three staffers that had eventually grown to 13 people, and the same group had been working under the percale with its other consultants (Coulson et al. 2019). The company staff had provided useful data like the demographic in order; connect in order and the information about how the electorate feels about their differentiated issues. However, this aspect had been sensed as a crucial one. Even since bursting into American politics in the year 2015, the company had been effective in generating a massive amount of data trove, which had boosted 5000 data points for every American. Hence, the company was able to build an extensive personality profile on every American, which is considered unethical psychographic targeting. This approach had been made basically to see Trump’s plan in the swing states. Thus Cambridge also implied the strategy called persuasion online media buying, which had helped the company to identify potential donors. Hence this process had created visualization tools on showing which area had been more effective and what these voters do care about (Ning and You 2019).

Was it right to work for Trump?

According to the sources, Cambridge analytics had gathered and manipulated the information to develop a psychographic profit too that the company effectively claimed could tailor the potential adds user’s tom to meet its personality traits. The company had been vowed to be engaged in the act of stealing the database of facebook of every American. This had called for an unethical activity and had generally built models to exploit the process which is known and targeted the inner demons. This was the primary parameter of the company to be built in. However, it can be said that the misuse of data is immoral and unethical. But as per some of Cambridge’s coverage, analytica suggested that Facebook had high leverage to transform the elections, which were considered to be one of the most significant aspects of the company. This had generally overstated the overall analytics power of the company. According to t various sources collecting and manipulating the database collected from the Facebook users of America and then using it sway away the elections is a robust and time taking process. Thus to understand the whole process, the company had considered micro-targeting and psychographics (Eraslan et al. 2019).

Hence, in this case, the primary sort of factors affecting business ethics can be considered. These are as follows-

Legislation

In the case of government intervention and common law, enactment can be useful if the company businessman becomes too unprincipled and self-seeking and try to ignore their blame towards civilization. Hence no society can stand such misbehavior, and this aspect can put more pressure on the company. Accordingly, for the Cambridge analytics company itself, the process of data breaching to clear the roads of Trump’s election with no alternative strategies to prohibit unhealthy behavior (Wang et al. 2019).

 Ethical code of the company

The company did not maintain the standards of ethical constraints at all. Hence it proved to be useful to the business. This had also endangered the established reputation, public image, and goodwill. This aspect can look to issue any sort of specific guidelines concerning the transactions of the corporation. For Cambridge analytics, this had forced the implementation of unethical practices in elections (Richardson et al., 2020).

Interrelation among the public concern or license to control and data-driven know-how of a company

Currently, it is seen that many companies are looking to be data-driven. This process can be done through the application of the right tools and techniques. Thus becoming data-driven makes the business focus more on the data and implement the specific business analysis. Hence the primary business systems, procedure, and business culture can look to create a perfect business mindset at all the organizational levels. For example, in basis enterprise data, the asset can quickly make a revolution in the world. This can also enable a better, faster, and effective business procedure. Hence the data-driven organizations are committed to gathering more data concerning all the overall business aspects. These can try to enable the employees at every level can try to use the aggregate data at the right time. Hence all these databases can try to foster the global competitive advantage of the company. Two ways can do these-

Transparency

With the exploration of digital technologies, to keep the customer database safe and secure, the companies are looking to improve the vast qualities f data about customers and its activities online and offline. Hence this can be considered as a new and useful trend setup for the connecting products. Therefore all these can gather detailed information. Since every company uses significant data practices, they favor to keep the customers in the dark and choose to manage over distribution. It is an unusual act for the companies not to collect personal data for their immediate usage. These values can be useful someday. Thus all these factors can be highly interrelated to the concept of public goodwill and licensing factors as well (Henriksen 2019).

Social responsibility

Thoroughly constructed CSR activities can bridge the gaps between the customer’s goodwill and its data drove core technologies. Hence both of these factors can be considered as the vital tom the organization’s success. These activities can create some critical and attribute factors where the first vital signs can be tapped over performance improvement platforms.

Challenges face by Facebook

The main defy that has been met by Facebook was the downfall of their stock price. The overall stock price of that company had been degraded by 20 percent of its value since the beginning of the year owing to the Cambridge scandal of misunderstanding and breaching of data and its slow response to the issue like foreign election interface on its platforms. Hence to cope with their overall reputation and its share price. Therefore the significant challenges that the company is likely to be facing are as follows-

Bad headlines and monetization pressure

The company had faced allegations and specific negative stories that can face horrible transitions. Slow and diversified political development messages can create discontinuing voting rights. Hence based on the overall news feed can continue to enforce a nasty evaluation. On the other hand, the company has looked to monetize and create some remoter prospects in this regard (Venturini and Rogers 2019).

In the meantime, Facebook played a part in many scandals like Robert Mueller’s indictment of Russian trolls where the company had been alleged to play their role for Russia to Rohingya Muslim case as well as the embarrassment caused by Cambridge analytics in president trumps election, Hence by far 2018, the company had faced many scandals (Boerboom, 2020).

Hence in the year 2020, the company firstly is looking to have a new revenue source by acquiring many other social Medias platforms to improve the growth service.

  • After the Cambridge scandal, the company has taken strict actions against spying and data breaching. For example, fishy apps, accounts, and other types of problematic contents have been purged to done away with, which have reportedly forced the organization to remove 3.2 billion fake accounts from the site. On the other hand, they have purchased Whatsapp and Instagram and ensured the safety and security of the databases (Venturini and Rogers 2019).
  • On the other hand, due to the Cambridge Analytics scandal, the company had lost its reputation and lost its overall share market. However, this aspect has created a question over the safety and security of personal and professional data by using a Facebook account. Thus the company had reportedly looked to lose many users at a small period (González et al. 2019).

Conclusion

Hence from this report, it can be concluded that being a data Analytics Company the Cambridge Analytics had showcased its wrong sides by letting Donald trump win via fluke. The data generated and breached through using Facebook had also created a wrong impression in the global market of the company. From this perspective, the company had been losing many customers in the process. Through this report, the public goodwill has been disrupted

References

 

Arora, N., and Zinolabedini, D., 2019. The Ethical Implications of the 2018 Facebook-Cambridge Analytica Data Scandal. Student Works.

Baptista, M., Henriques, E.M., de Medeiros, I.P., Malere, J.P., Nascimento Jr, C.L., and Prendinger, H., 2019. Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering. Reliability Engineering & System Safety184, pp.228-239.

Boerboom, C., 2020. Cambridge Analytica: The Scandal on Data Privacy.

Bourdeau, M., Zhai, X.Q., Nefzaoui, E., Guo, X. and Chatellier, P., 2019. Modeling and forecasting are building energy consumption: a review of data-driven techniques—sustainable Cities and Society.

Cai, M., Pipattanasomporn, M., and Rahman, S., 2019. Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques. Applied Energy236, pp.1078-1088.

CAMPOS, M., 2019. Cambridge Analytica, Microtargeting, and Power: “A Full-Service Propaganda Machine” in the Information Age. TRAIL SIX, p.24.

Coulson, J., Lygeros, J., and Dörfler, F., 2019, June. Data-enabled predictive control: In the shallows of the deep. In 2019 18th European Control Conference (ECC) (pp. 307-312). IEEE.

Eraslan, G., Avsec, Ž., Gagneur, J., and Theis, F.J., 2019. Deep learning: new computational modeling techniques for genomics. Nature Reviews Genetics20(7), pp.389-403.

Gabriels, R., Martens, L., and Degree, S., 2019. THE updated MS²PIP web server delivers fast and accurate M.S. ² peak intensity prediction for multiple fragmentation methods, instruments, and labeling techniques. Nucleic acids research47(W1), pp.W295-W299.

González, F., Yu, Y., Figueroa, A., López, C., and Aragon, C., 2019, May. Global reactions to the Cambridge Analytica scandal: A cross-language social media study. In Companion Proceedings of The 2019 World Wide Web Conference (pp. 799-806).

Gordon, J., 2019. When data crimes are real crimes: voter surveillance and the Cambridge Analytica conflict (Doctoral dissertation).

Henriksen, E.E., 2019. Big data, microtargeting, and governmentality in cyber-times. The case of the Facebook-Cambridge Analytica data scandal (Master’s thesis).

Kehle, J., and Naimi, S., 2019. Every Data Point Counts Political Elections in the Age of Digital Analytics.

Luo, H., Yin, S., Liu, T., and Khan, A.Q., 2019. A data-driven realization of the control-performance-oriented process monitoring system. IEEE Transactions on Industrial Electronics67(1), pp.521-530.

Ning, C. and You, F., 2019. Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming. Computers & Chemical Engineering125, pp.434-448.

Richardson, J., Paterson, M., and Witzleb, N., 2020. Political micro-targeting in an era of big data analytics: an overview of the regulatory issues. In Big Data, Political Campaigning, and the Law: Democracy and Privacy in the Age of Micro-targeting (pp. 1-14). Routledge.

Samadianfard, S., Majnooni-Heris, A., Qasem, S.N., Kisi, O., Shamshirband, S., and Chau, K.W., 2019. Daily global solar radiation modeling using data-driven techniques and empirical equations in a semi-arid climate. Engineering Applications of Computational Fluid Mechanics13(1), pp.142-157.

Sandoval-Almazan, R., 2020. Rise and Fall of Digital Activism in Mexico From 2000-2019. In Handbook of Research on Politics in the Computer Age (pp. 264-290). IGI Global.

Strom, T.E., 2019. Data-driven democracy. Arena Magazine (Fitzroy, Vic), (163), p.32.

Venturini, T., and Rogers, R., 2019. ” API-based research” or how can digital sociology, and journalism studies learn from the Cambridge Analytica affair.

Venturini, T., and Rogers, R., 2019. “API-Based Research” or How can Digital Sociology, and Journalism Studies Learn from the Facebook and Cambridge Analytica Data Breach. Digital Journalism7(4), pp.532-540.

Wang, X., Yang, L.T., Kuang, L., Liu, X., Zhang, Q. and Deen, M.J., 2019. A tensor-based big-data-driven routing recommendation approach for heterogeneous networks. IEEE Network33(1), pp.64-69.

Wilson, R., 2019, July. Cambridge Analytica, Facebook, and Influence Operations: A Case Study and Anticipatory Ethical Analysis. In European Conference on Cyber Warfare and Security (pp. 587-XX). Academic Conferences International Limited.

Zappone, A., Di Renzo, M., and Debbah, M., 2019. Wireless network design in the era of deep learning: Model-based, AI-based, or both?. IEEE Transactions on Communications67(10), pp.7331-7376.

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