Social Media Analytics for Business Assignment Help

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CIS7029 Social Media Analytics for Business Assignment

Assessment Title - The Social Media Analytics for Business Research

Expert Assistance in Designing Intelligent Systems for Business Organizations - Comprehensive Support for Unit 14: Business Intelligence, Higher National Diploma in Computing and Business.

Learning Outcomes -

Learning Outcome 1 - Demonstrate an understanding of concepts underlying social media analytics and be able to apply them appropriately in business settings (Presentation & Written Paper);

Answer: Social media analytics involves analyzing data from social platforms to extract insights that can drive decision-making in business. It encompasses key concepts like engagement metrics, sentiment analysis, audience segmentation, and trend identification. By utilizing tools such as text mining, machine learning, and natural language processing, businesses can measure user interactions, assess brand perception, and predict consumer behavior. Applying these analytics appropriately allows companies to tailor marketing strategies, enhance customer experience, and optimize content for better visibility and engagement. Effective use of social media analytics leads to data-driven decisions that can boost brand presence and increase ROI.

Learning Outcome 2 - Critically evaluate and implement specialist technologies to harvest, analyse and visualise "social data" from individuals to corporate perspectives (Presentation & Written Paper);

Answer: Social data has become an invaluable resource for individuals and organizations alike. To effectively harness its potential, specialized technologies must be critically evaluated and implemented. These technologies should be capable of harvesting data from various social media platforms, analyzing it to extract meaningful insights, and visualizing the findings in a clear and understandable manner. When selecting these technologies, factors such as data privacy, scalability, accuracy, and ease of use should be carefully considered. By leveraging such tools, individuals can gain deeper understanding of their online presence and social networks, while organizations can make data-driven decisions, improve customer engagement, and identify emerging trends.

Learning Outcome 3 - Synthesise and apply social analytics and appropriate techniques on social information (Presentation & Written Paper);

Answer: Social analytics involves the collection, analysis, and interpretation of data from social media platforms. By employing appropriate techniques such as sentiment analysis, topic modeling, and network analysis, organizations can gain valuable insights into public opinion, customer behavior, and market trends. Sentiment analysis helps gauge the emotional tone of online conversations, while topic modeling identifies recurring themes and patterns within the data. Network analysis allows for the visualization and understanding of relationships between individuals and groups on social media. By effectively synthesizing and applying these techniques, businesses can make data-driven decisions, improve customer satisfaction, and enhance their overall marketing strategies.

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Learning Outcome 4 - Critically evaluate, design, prototype and implement social media applications and visualization for business story telling (Written Paper).

Answer: Effective business storytelling requires engaging and visually appealing content. Social media applications and visualizations play a crucial role in achieving this goal. By critically evaluating existing tools and platforms, businesses can design and prototype custom applications that align with their specific storytelling needs. These applications can incorporate interactive elements, data visualizations, and multimedia content to create immersive experiences. By carefully considering factors such as user experience, brand identity, and key messaging, businesses can implement social media applications that effectively communicate their story and resonate with their target audience.

Assessment Tasks - There are TWO assessment tasks you must complete.

Task 1 - Presentation

You will be required to deliver a three minute Dragons' Den in Week 8-10 in your seminar sessions with your tutor and dragons (selected peers by tutor).

You will play a role of a "social media entrepreneur" with only three minutes to pitch your "Social Media Analytics for Business" ideas to the "dragons" (selected peers by your tutor), pretending multimillionaires who are willing to invest their own cash to kick-start the business. After each pitch, the Dragons have the opportunity to ask questions about your social media analytics proposal. The times will be strictly managed: A 3 minute presentation followed by 2 minutes Q&A.

You will specifically be required to present the:

1. Aims and objectives of your proposed social media analytics for business.

2. The project background (current problem statements, project motivation and etc.).

3. Your initial design of how your social media analytics research project for business will be conducted.

4. Discussion on the initial results and visualisation obtained (if applicable).

5. The proposed project scope, initial designs and any work-in-progress (i.e. third-party tools / APIs / code demo can also be presented)

6. Importantly, the "so what" insights of the business story telling must be presented - i.e. the value for money of your business pitch!

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The subject of the social data scrapping and the results analysed are left for the student to choose. For examples (and not limited to):

i. You could scrap for keywords related to some corporate data, e.g. KFC, Tableau or any company of your choice on its corporate review website and look for customers' experiences or customers' views analytics.

ii. You could scrap for keywords related to some public data on Twitter, i.e. McDonald, Starbucks or any company of your choice and look for public perceptions, market trends or brand monitoring.

iii. You could scrap customers' reviews for products data from Asda, Tesco, Amazon, or any online shop for competitor analysis or product review comparison.

iv. You could harvest overall sentiment towards an international brand or a global company and provide data analytics and visualisations for a business story telling.

v. Any social media analytics topic of your own choice, e.g. the company you worked for.

Please ensure you discuss your topic with your tutor in the studio/seminar as early as possible before you begin working on it.

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Task 2 - Written paper on practical project

You are required to write a 3,500 word research paper based on your practical project for this module. The paper should contain rigorous evidence and references from the primary and secondary data collection you undertook and the analysis and findings of your practical project proposed from task 1.

Rationale - As part of practical project in this module and learnt from the weekly studios, you will be harvesting a suitable dataset using the relevant tools, i.e. Tableau, Python, Facebook or Twitter API or third party Tool(s) and extracting relevant information from the results, as proposed in your Part 1 Business Pitch.

Therefore, you should start your paper with the motivation or rationale of your research, especially the business aim of your project. The design and approach of your project such as the reasons for the choice of social web harvesting, scope for strategic or tactical decision making, business values, public interest, marketing campaign, product reviews, branding and marketing, customers' preferences or other etc.

Research Tools and Methods - You need to discuss your research into suitable tools and/ or APIs and the justification for your choice. Based on this, you should then document the design of your project and show clearly how your research project communicates with any third-party service or API.

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Results and Visualisation - You should discuss the results with necessary business or social implications and relate that back to the motivation or rationale of your project. Visualisation is very important, so the report should also contain suitable visualisations for your business storytelling out of the social data you collected.

Limitations and Implications - In addition, project limitations and recommendations are desirable.

Conclusion and Appendices - Finally, draw a conclusion with key results to nicely conclude your web harvesting research.

You are encouraged to compare various technical tools and techniques to demonstrate the social media analytics skills you have learnt.

You can implement your social web harvesting research project using any suitable language / technology / third-party tools you see fit. You can hard-code queries or you can provide a suitable front-end where users can enter search keywords. In addition, you can show the results in any suitable form, e.g. tables, various forms of innovative graphs or information overlaid on a map. The final visualisation needs to be published on Tableau Public and include the link and evidences in the paper as Appendixes.

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