Read Example 2 and give comments. Add more information. Your document should be a minimum of 150 words plus references. Incorporate and cite current (between 2018-now) credible references.

Useful resources:

• Chapter 7 in Business Intelligence, Analytics, and Data Science: A Managerial Perspective (4th ed.)
• Chapter 18 in SAS Essentials
• Olavsrud, T. (2017). 10 internet of things success stories. Computerworld Hong Kong.

• Erevelles, S., Fukawa, N., & Swayne, L. (2016). Big data consumer analytics and the transformation of marketing. Journal of Business Research, 69(2), 897–904.

Example 2:

Hi everyone,

For this week’s post, my organization I will discuss is a previous employer. About 5 years ago, I worked at a small plastics technology startup. They were essentially trying to commercialize plastic film technology which would lead to less plastic waste. Using proprietary technology, the film would essentially offer similar physical performance to ‘traditional’ film while being made of less material (less dense). This startup was very small – around 10 employees. As such, to grow and increase their brand/technology awareness, the company has an active account on Linked In. Here, they announce technology/business milestones, business partnerships, and participation in trade shows. They also try to cultivate a personal connection with other Linked In users by offering short interviews of various company roles and the people who work in them. For this company, Linked In is a legitimate platform to engage in B2B advertising and self promotion (of trial results for example). Particularly related to trade shows, Linked In is a great way to increase visibility at large professional events like these. The growth of the company is likely somewhat tied to Linked In. I check-in on the page occasionally and see slow, but steady growth.

The topic of Linked In had me curious about social media metrics, so I found an advertisement by a Linked In analytics company – Shield. The service is marketing as analytics “for creators, by creators”. In particular, their software offers the following six types of insight: content metrics, audience demographics, custom content labels, network stats, speed and traction metrics, and real-time data. These metrics would be hugely important for a marketing company or advertising firm. Importantly, the website notes it offer visual benchmarks so that a user can, “…learn what works and what doesn’t”. This resonated with me as a key point about social media analytics from the class text. It is important to see the metrics as a guidance system and not a rating system. I imagine using this service would offer any person/business the tools to take advantage of and gauge social media data in an effective manner.

Sources:

Sharda, R., Delen, D., & Turban, E. (2018). Business intelligence, analytics, and data science: a managerial perspective (4th ed.). Pearson Education, Inc.

Shield. (n.d.). Shield App [product page]. https://www.shieldapp.ai/#product