Business Report: Analyzing Social Media Analytics and Its Impact

This report delves into the advantages and impact of social media analytics on businesses. It highlights how organizations can understand their target audience and increase engagement and responsiveness through social media. The report discusses the use of social media analytics by companies like Emirates Airlines, emphasizing its role in CRM, marketing strategies, and improving customer relationships. It covers aspects such as finding effective change leaders, managing change in organizations, and the importance of channeling customer feedback. The report also touches upon privacy concerns and increasing brand awareness. Recommendations include expanding online presence and leveraging different social media platforms. The report references several studies and provides insights into the practical application of social media analytics in a business context.

Social media analytics for
business

 Social media analytics assists organizations
to understand targeted audience.
 Moreover, social media analytics can
increase involvement and responsiveness in
the business. Present study deals with
advantages and impact of social media
analytics in business
Introduction

 The use of social media analytics in business process
assists organizations to understand targeted audience.
 An American gaming as well as media-streaming website
used social media analytics in order to analyze and define
specific segments of the audience.
Advantages of using social media analytics in
business

 The social CRM includes
technological connection with
traditional CRM.
 Kotter 8 step process assists
analyzing specific strategy taken
by Emirate Airline.
 Finding effective change leaders
in the enterprise, it is helpful for
the enterprises. Utilization of
Twitter is useful influencing people
required work as a team.
Managing change in organization

 Customer-relation management tool is one of the important
tools used in order to comprehend the role of social media
in business.
 Cross-functional techniques would be useful for formation
of upgraded investor esteem by making legitimate
organizations with the customers.
Planning IS development

 Social promotions are considered as
a champion among the most sensible
courses with a particular ultimate
objective to propel business and
spread substance.
 These are powerful in regards to
concentrating on decisions with the
objective that it is helpful to research
to right gathering of audiences
(Pappas et al., 2016).
Dealing with outsourcing

 Channeling the feedback to the
right department has dependably
been an issue in extensive
organizations. The greater part of
the circumstances, the ring closes
at the wrong division or the email is
lost in a tremendous heap of other
more essential messages.
 In this way, the tweet on the Twitter
holds an individualistic approach,
and the individuals at the
organization make sure that the
input or the inquiry of the customer
achieves the right division
Privacy concerns

 Social media analytics can increase involvement as well as
responsiveness in the business organization. A marketing
software organization increased the leads produced
through social media by 47% over previous year.
 CRM permits such marketing strategies while other
advertising instruments do not permit it (Brooker et al.,
2016).
Increasing awareness

 social media holds an
unprecedented potential for the
organizations to reach to the
customers and facilitate the
increased revenue.
 However, reduction of cost and
market feedback research is
achieved through social media.
Conclusion

 It is highly recommended that Emirates Airlines grow their
online networking nearness from Twitter to Facebook.
 This is because there may be a few customers who might
utilize both of the platforms in the meantime. In any case,
the likelihood of that event is low. The greater part of the
customers is either on Facebook or on Twitter.
Recommendations

 Brooker, P., Barnett, J., & Cribbin, T. (2016). Doing social media
analytics. Big Data & Society, 3(2), 2053951716658060.
 Brooker, P., Barnett, J., Cribbin, T., & Sharma, S. (2016). Have we even
solved the first ‘big data challenge?’Practical issues concerning data
collection and visual representation for social media analytics.
In Digital Methods for Social Science (pp. 34-50). Palgrave Macmillan,
London.
 Brooker, P., Vines, J., Barnett, J., Feltwell, T., & Lawson, S. (2016).
Everyday Socio-Political Talk in Twitter Timelines: A Longitudinal
Approach to Social Media Analytics.
 Gupta, M., Dandekar, S. A., Chen, D., Daruvalla, K., Melinat, B., &
Palaniandavan, G. (2017). U.S. Patent No. 9,542,712. Washington,
DC: U.S. Patent and Trademark Office.
 He, W., Wu, H., Yan, G., Akula, V., & Shen, J. (2015). A novel social
media competitive analytics framework with sentiment
benchmarks. Information & Management, 52(7), 801-812.
References