Rolls Royce is well established in the luxury automotive market and the pursuit of strategic partnership would come in handy in expanding the firm’s competitive prowess. One of the ideal strategic collaborations for the firm is partnering with institutions of higher learning such as the University of Manchester. The partnership will see the firm establish research and innovation centers at the institution to gain the advantage of innovative engine design for its automobiles and planes (Krok, Jefferies, Teague & Barnard, 2019). However, the cons of the partnership include being a capital intensive undertaking and taking much time to establish.

In the past, the company has established partnerships with top engineering learning institutions including Cambridge University. The results of the alliances are evident in the firm’s success in developing highly effective, long-lasting and innovative automobile and jet engine designs (Krok, Jefferies, Teague & Barnard, 2019). More so, the firm has realized gains through acquiring the top talents from the learning institutions which means the establishment of a highly skilled labor force. However, with the recent alliances with engineering-based learning institutions may not be the priority for the company to realize the next level on its strategy.

The other option that suits the strategic needs of Rolls Royce is establishing alliances with technology companies such as IBM which will facilitate the revolution of the Roll Royce experience on motor cars and airlines. The excellence of Rolls Royce and IBM in their respective sectors would result in a resounding revolution in the use of modern technology such as cloud computing and the internet of things (IoT) in the automotive industry. Moreover, the partnership would see the firm enhance its luxurious features on its automotive and optimal functionality on jet engines. The establishment of this partnership has the disadvantage of extensive contractual obligations.

It is recommendable that Rolls Royce moves forward with striking a strategic partnership with a technology company with the caliber of IBM. The implementation of the partnership would see the firm take a huge step towards the next level of a technological revolution in the automotive industry. More so, the company will achieve a great milestone in enhancing the luxurious experience. The strategic partnership will ensure that Rolls Royce stays ahead of other leading luxurious brands. On the other hand, a strategic alliance with a huge tech brand such as IBM would also contribute to the growth of Rolls Royce’s revenue and market share.

In light of the needs of the company to attain a competitive advantage and stay ahead ion the luxurious automotive makes sector, technology would be a key driver for such realization. Considerably, the advancement in technology has brought about the need for companies in the automotive industry to acknowledge the impact of tech on improving consumers’ experience. For this reason, Rolls Royce will accomplish a vital strategic milestone through an alliance with a top technology company.

Sample Solution

The post Strategy Recommendation for Rolls Royce appeared first on coursesolver.

Looking for a Similar Assignment? Order now and Get 10% Discount! Use Coupon Code "Newclient"

Identify a problem or an opportunity from your choice of four scenarios with accompanying data sets in Chapters 5, 8, 9, or 10 in your Data Mining for the
Masses resource. Then craft a data analytics project proposal that leverages data analytics, evaluates the current use of data, and highlights recommended tools
with the ultimate goal of improving business value. Remember your audience as you craft your proposal.
Specifically, the following critical elements must be addressed:
I. Introduction
A. Background: Describe the context and environment of the organization and analyze how the company is currently leveraging data analysis and
analytics tools to make decisions.
B. Data Sources: Evaluate the data sources the organization is currently using for their benefits and limitations in meeting the goals the data is
currently being used for. In other words, is the currently used data appropriate for its current usage? Why or why not?
C. Data Needs: Analyze the various sources of data available to the organization or the data the organization could potentially begin collecting that
could add business value. In other words, what data (existing or potential) could provide a benefit to the organization you chose to focus on, and
how?
D. Data Analytics Initiative: How can you exploit data analytics to add business value or uncover new opportunities? Identify the opportunity for a
data analysis initiative that could provide additional business value to the organization, and explain. (You do not necessarily have to solve a
problem or fill a gap within the organization. Instead, you could identify a new initiative that improves or adds valuable insight or information to
the organization for decision making.
II. Proposal
A. Goals: What are the goals of this initiative? How do they align with the organizational mission? And how do you plan to measure success? Be sure
to consider the progress and pathway for data analytics projects of the type you chose to propose.
B. Data Analytics Life Cycle: Apply the data analytics life cycle to your proposed initiative, and walk your audience (management) through the life
cycle as it applies to the initiative.
C. Value of life Cycle: Based on your application of the life cycle to the initiative, analyze how the life cycle will help you infer predictability,
performance, quality, and security of your initiative and its results.
D. Data: Evaluate the existing or desired data for its applicability to your proposed data analytics initiative. In other words, what are the benefits and
limitations of the current data for the use you have in mind, including potential collection and security implications?
E. Tool Applicability to Initiative: Assess the current data analytic tools for their applicability to your initiative. In other words, how well will the
existing tools and technology in place work with your initiative?
F. Tool Applicability to Data: Assess the applicability of the existing tools for the data you have or will have, based on your analysis of the
characteristics of that data. In other words, how fitting are the existing tools for the data, considering the various forms the data may take?
G. Tool Recommendations: This course covers many analytic tools and technologies, including their benefits and limitations for various uses and
data. Recommend two tools that are not already used and could reasonably be applied to your initiative. Assess the applicability and value of
these tools as they relate to your available and planned data and the goals you have established for the initiative.
III. Conclusion
A. Value: Determine the value of applying data analytics to this company or business based on your analysis of the value of the initiative you
proposed. In other words, describe the benefit of using data analytics to meet the goals, needs, or opportunities of your company, and derive
actionable insight.
B. Insights: Communicate the insights you gained from your analysis of the initiative, the data, and the data analytic tools and technology you
explored with management. How are these insights potentially beneficial to the company, the industry, and the company’s future? How are they
beneficial to your future as an analytics professional?
IV. Communication
Your submission will be assessed according to the content, the logic of your explanations and analysis, and the evidence of your gained knowledge. In the
professional realm, however, the communication of ideas is also important. Therefore, your submission will also be assessed on the way your ideas are
presented to the audience (in this case, the management of the selected company). Remember that management may not have the same level of data
knowledge that you do, particularly with the use of specialized language.
A. Visualization: Effectively communicate your insights and conclusions using appropriate visualizations and depictions of data possibilities.

Sample Solution

The post Data Analytics Project Proposal appeared first on coursesolver.

Looking for a Similar Assignment? Order now and Get 10% Discount! Use Coupon Code "Newclient"