Proposed Ecosystem Hub for Starbucks
Overview
Each day, technologists working at Starbucks, in collaboration with other stakeholders, work on innovations that could only be described as groundbreaking. This is the team responsible for the unique Starbucks experience. However, without this level of dedication and inventiveness, Starbucks technology-centeredness would not have been possible. Thanks to these efforts, Starbucks now boasts of superior customer connection with the enterprise and continues to further promote customer experience. In line with Starbuck’s digital business transformation strategy, there is need for the development of a robust and effective Ecosystem Hub solution comprising of the software tools listed below:
a) Asana (Collaboration Portal)
b) Dropbox (Enterprise Content Management)
c) Board (Platform combining business intelligence tools with predictive analytics, simulation, as well as corporate performance management capabilities)
d) Mailchimp (Digital Content Marketing Management)
In an attempt to underline its commitment to digital business transformation, the company continues to hire competent and talented staff in the areas of data science. Indeed, in keeping with its trend to promote solutions that are forward-thinking, Starbucks has in the past successfully pioneered “projects such as Mobile Order & Pay and [the] Starbucks Rewards™ loyalty program” (Starbucks, 2020). With the Mobile Order & Pay, for instance, it is possible for customers to make purchases without necessarily having to queue.
To a large extent, the present proposal to develop an Ecosystem Hub solution is essentially a continuation of the company’s forward-thinking resolve and decision to monetize its digital platform.
Starbucks Digital Business Transformation Strategy
According to Rahman (2020), Starbucks is a data tech company, and not a coffee business. While this statement could seem farfetched at first instance, the way the company has used its digital platform makes it what Rahman refers to as “a textbook example of how to strategically use data to stay competitive” (Rahman, 2020). It is important to note that in addition to offering for sale cold and hot drinks, Starbucks also engages in the collection and gathering of voluminous data sourced from its customer interactions. The company’s utilization of the said data would give us a sneak preview of its digital business transformation strategy. Towards this end, it would be prudent to assess the company’s utilization of technology and data analytics in the recent past to enhance its competitive advantage and fuel business development.
a) Customer Experience
To begin with, Starbucks’ competitive advantage is largely based on its exclusive and innovative reading (and subsequent utilization) of customer data. For instance, on the Starbucks Rewards and loyalty program, the total number of people signed up stands at approximately 14 million (Whitten, 2017). In 2017, for instance, Whitten (2017) points out that “rewards represented 36 percent of U.S. company-operated sales in the second quarter and mobile payment was 29 percent of transactions.” What this effectively means is that the company can be able to accurately chart customer orders and make the relevant offering adjustments. For instance, it as far as loyalty customers are concerned, it is easy to determine their most frequent orders. This enables the company to ensure that customers are sent offers that are relatively personalized so as to further enhance sales.
b) Alignment of Product Lines with Customer Preferences
Data analytics have also come in handy in the further enhancement of the company’s product line and menu optimization. Marr (2019) points out that data from various stores was instrumental in the company’s rollout of bottled beverages and k-cups. Additional customer market research played a supplementary role in this particular case. For instance, based on available data from its stores, the company was aware of the fact that most of those who took tea routinely avoided adding sugar into the same. Towards this end, the company deemed it necessary to introduce unsweetened tea k-cups. According to Marr (2019), the company also pioneered a move...
References
Adams, R. (2019). Data Analytics for Businesses 2019. Mason, OH: Cengage Learning.
Ansoff, H.I. (2016). Strategic Management. New York, NY: Springer.
Hitt, M.A., Ireland, R.D. & Hoskisson, R.E. (2014). Strategic Management: Concepts, Competitiveness and Globalization (11th ed.). Stamford, CT: Cengage Learning.
Marr, B. (2019). Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems. Hoboken, NJ: John Wiley & Sons.
Rahman, W. (2020). Starbucks Isn’t a Coffee Business — It’s a Data Tech Company. Retrieved from https://marker.medium.com/starbucks-isnt-a-coffee-company-its-a-data-technology-business-ddd9b397d83e
Starbucks (2020). Explore the Possibilities, Drive Innovation. Retrieved from https://www.starbucks.com/careers/technology
Thau, B. (2014). How Big Data Helps Chains Like Starbucks Pick Store Locations -- An (Unsung) Key To Retail Success. Retrieved from https://www.forbes.com/sites/barbarathau/2014/04/24/how-big-data-helps-retailers-like-starbucks-pick-store-locations-an-unsung-key-to-retail-success/#432e7edd16db
Whitten, S. (2017). Starbucks Rewards Members Can Now Earn Even More Stars at the Grocery Store. Retrieved from https://www.cnbc.com/2017/05/04/starbucks-reward-members-can-now-earn-stars-at-the-grocery-store.html
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