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1) The Key Issue being faced is briefly described

2) The Recommendation – the course of action recommended for the protagonist to take

Option 1 (continue with existing) = blue background
Option 2 (external consultants) = green background
Option 3 (internal competition) = purple background
Option 4 (partner with RBA) = yellow background
Option 5 (other solution) = red background

3) The Justification - Option 1 (continue with existing) = blue background

Justification:

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Key Issue - Creating a predictive model for calculating the credit rating of small business startups. Jabil wants to invest in these companies, but want to know they are investing in companies with the greatest probability of being able to return Jabil's investment. They make these choices based on a credit rating which is calculated using external and internal factors of an organization. The typical credit rating bureaus have models which are geared toward large, established entities as opposed to new or small business, which means Jabil cannot rely on those existing predictive models to select the companies they would like to invest in.

Recommendation - Hold an internal competition

Justification - This is a win-win for the company and the employees. Employees have the option to display their abilities and possibly earn a bonus or internal promotion. It also boosts morale in the workplace for employees to hold a friendly competition. The company doesn't have to share their model and their patent rights if the model is successful. It is also less expensive than hiring consultants.

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Key Issue: Developing a reliable creditworthiness prediction model for start-up partners to reduce financial risk and enhance strategic business growth.

Recommendation: I think having partnerships with external organizations like the Responsible Business Alliance (RBA) to develop and share a comprehensive credit assessment model.

Justification: Collaborating with RBA offers shared resources, increases development, and reduces risks associated with sole ownership and development costs.

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1)Key Issue: Jabil Inc. is an electronics manufacturing company that delivers manufacturing, supply chain and product management services to different clients. The key issue faced in this case is Jabil Inc. wants to expand its customer base by engaging with technology startups, which requires the assessment of their creditworthiness. The main challenge is developing a reliable predictive model to evaluate the financial stability of these startups, which are inherently risky due to their lack of established financial history and the unstable nature of the tech industry. This is crucial for Jabil to manage the risk of bad debt while profiting on the potential growth opportunities these startups could offer.

Recommendation: Although Jabil comes up with many different options to improve the creditworthiness predictions, I have found the option of in-house development team to be more effective.

The Justification: This recommendation comes with a cost and time constraint but this option has the potential to bring out the best within the internal teams while conserving the external resource expenditure and also the security constraints that comes when hiring an external team or RBA.

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1) Key Issue:

Jabil is in Search of a business decision for their customer growth strategy discussing the advantages and the disadvantages of developing a Machine learning Model to make Risky Business Decisions and to utilize the resources available rightly.

Recommendation: I think Jabil should continue with their present time since they have already invested their time in building the model from the starch.

3) Justification: the other options have huge disadvantages such as not having the license of the model and also explaining the the model to the outsourced company and also the results might not be aligned with the companies business problem.

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Key Issue : The key issue faced by the Candy Mitchell, Information Technology Director at Jabil was time constrain while build inhouse creditworthiness assessment tool for assessing the start up companies.

Recommendation : Continue with existing team.

Justification : I believe if Mitchell buy some time for her existing team they can reach the desired accuracy. The current team is not fully working on the model, they are working during breaks from their full-time Jabil responsibilities and every Friday for a few hours in the afternoon. If Mitchell can help team to spend more time(full-time) on the model, the team can complete the task.

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Key Issue: creating a predictive model that is accurate ,explainable and auditable to partner with technological startups to avoid risk in future

Recommendation:out of all 4 recommendations, creating an internal jabil competition is my recommendation

Justification: I think this is the better because rather than taking longer duration period, going over the budget for hiring an external consultant and losing the main theme of the model, an internal competition would give more opportunities to gather new talent, solution and can even complete the model within speculated time.

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key issue:

The case study focuses on certain scenario with the IT Director Candy at the verge of making a decision on whether to employ external consultants or to take time in improving the existing model's performance.

Recommnendation:

In my opinion, there this a very common predicament that alot of big companies face when dealing with the type of innovation they are intrested in. By choosing to opt for an external consutants to either build new model or improve performance of the model , the company is bound to face the risk of decline in accuracy, market, and capital investment. However, this could lay afoundation for a new approach for dealing with creditworthness of startups with volatile financial state, In the shoes of Ms. Candy, I would prefer to opt for this route, as initially may incur some captial expenditures, losses and decline in accuracy, the approach will bear fruits down the line.

Justification:

On the other hand, the more safer option is to opt for acquiring more open sourced and regulated financial data t feed the model to improve its accuracy and decrease bias in the model, although it is a route, fine tuning models to highest accuracy is slow and intricate process where we may be to consider internal, external factors that account ,other wise new data could possibly decline its accuracy

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Key issue - It is the reasoning for assessing creditworthiness of a company. Tradtional methods used to assess were outdated , as mentioned in the Case study assesing small technological startups has become more and more difficult to assess the company. they needed new methods to do that.

Recommendations - External consultants , internal competition along with existing team.

Justification - Initially to gain trust from clients and to gain some temporary capital, they can get the work done with external consultants along with their internal team ,but also simultanueously they can train their internal staff trained to gain experience and also conduct interal competitions to keep them motivated would give them a huge boost this way they can eventually get rid of the external consultants and also still keep up with the client's trust.

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Key Issue: Enhancing Predictive Model Accuracy

Recommendation:

Let's foster an internal competition at Jabil to refine our predictive model.

Justification:

This approach allows us to seize the opportunity as pioneers in the field. Moreover, by keeping the development in-house, we retain control and gain deeper insights into our team's capabilities. This not only boosts our competitive edge but also ensures a better understanding of our employees' potential.

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Key Issue - Improving Jabil's model for evaluating credit rating of businesses is a key issue, as it is essential to reducing negative debt and promoting development.

Recommendation - Option 3, organizing an internal competition, is recommended

Justification -This will allow to use internal talent and fit in with the company's innovation culture to create flexible solutions.

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Key Issue: The protagonist, Candy Mitchell, Information Technology Director at Jabil Inc, has to make an important decision. Her team of data scientists has built a predictive model that predicts if engaging with a startup company would be profitable or not for the company. This model needs to be improved.

Recommendation: To do this I think that the third option 'Create an internal Jabil competition for a model that would leverage the global, brilliant data
science minds in the organization' would be a good solution.

Justification: I think that this is a good solution as Jabil would have full ownership of the model, and they would be able to concentrate on the goals of the company. A healthy competition is always good as it makes people think harder and productively share their ideas.

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Key Issue- The key issue Jabil facing is regarding developing a predictive model to predict the credit worthiness of a technology startup as Jabil would like to partner with Technology start-ups and wants to know the risks before doing so.

Recommendation- I would recommend the protagonist to consider combining elements from the given options like continuing with their current internal development team and collaborating with external cosultants.

Justification- This way the internal team of Jabil will be aware of what went into the model and can support the ongoing maintenance if Jabil doesn't have access to external consultants after completion of model and at the same time it saves time as the external consultants are proficient in what they do and they have dedicated time for the completion of this project unlike Jabil internal team as they have other projects to work on. This collaboration would maintain transparency and will be much efficient in terms of accuracy and time.

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Key Issue - The Key issue in the case study is that the Jabil Inc want to predict the worthiness of technological startups so that they could invest to gain profits.

Recommendation - I would recommend that the company should continue with the existing data scientists team along with some more professionals.

Justification - The current team which are working on the model has a very good knowledge on the functionality and features which are essentials for generating a n accurate model. So by reducing their investment of time in other projects and further providing some professional help I think that they could provide a better model.

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Key Issue:

Jabil is planning to grow its business by teaming up with startup companies but here there's a problem with these companies as they usually don't comeup with expected credit rating. So jabil need to figure out the whether the company is stable and reliable financially. To figure out this Jabil needs a solid soultion to assess the creditworthiness of the startups

Solution:

Hybrid approach of linking internal experts with the external team

Justification:

Internal team knows the industry inside out while the external consultants can bring the required skills in analysing the risk and data. It can save money as we don't depend completely on the outsiders. We can depend on our own employees and for only specific analysis tasks the experts are hired. This can bring the balance in team also by working together we can complete the assessment model faster and there will be low risks involved in it

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Key Issue:

The Key issue that we're dealing here is that Jabil Inc. a company that deals with supply chain management services is trying to create an AI model to evaluate the financial condition of the companies that they're trying to do business to avoid bad debt and expand their business.

Recommendation: Option 2.

Justification:

Since it was Jabil internal team who had started this model in the first place they would have the adequate knowledge on the model but bringing in external consultants can improve the accuracy of the model which the company is looking for and it can also add up new dimensions for the model since the people who will be hired for this project have a lot of hands on knowledge and industrial experience which can be an invaluable asset for the development of the model.

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Key Issue - Creating a Predictive machine learning model with higher accuracy to predict the creditworthiness of start-up businesses that Jabil want to invest on

Recommendation- I would recommend the first option, continuing with their current internal development process and hope it could be finished soon with a better accuracy.

Justification-

Jabil's team knows a lot about their supply chain and the business world, which helps them make a model that fits their needs perfectly. They can use special data only they have, making sure the model predicts things accurately. By working on it themselves, Jabil can keep making the model better over time based on what they learn from using it. They also make sure important and private information stays safe inside the company. although there are some disadvantages for choosing this option like it can take a lot of time, I feel it is better to go with the internal team

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Key Issue:

Jabil Inc, has learned that it is great opportunity and profitable to work for Tech Startups in provide their services in, Design, Manufacturing, Supply chain and product management. However, the main concern is that, the majority of the startups are not financially stable and there might be a potential risk providing services to such startups. This resulted in need of a Model that can predict creditworthiness of a company and help in Jabil Inc to decide if they should work along the startup or not. Although, building model has other concerns such as what type of input data is needed, what type of algorithm to be used, the key issue is that, Jabil Inc wanted a accurate model as early as possible.

Recommendation:

I would personally suggest to hire a external consultants to build the model.

Justification:

Although, it involves in third party resources and cost, I feel this is the quick and efficient way to build the model. The resources we hire are experts in the field and reliable. Once the model is developed we can have few working sessions with the external team to train internal team. This saves us from future risk. And company should invest some of the funds for this research and development in order to make business with startups which is profitable.

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Key Issue: Difficulty an analyzing the creditworthiness of startups and how this effects the managers ability to control risk and enter a new market and make wise business decisions.

Recommendation:

1. Continue with their current internal development process .

2. Hire new persons to build the Process.

3. Conducting the examinations and competitions.

4. Partner with the RBA to create a shared model.

5.Study the real -world situations to help the challenges and to take the decision making and to develop the problem solving skills.

Justification:

By Communicating with RBA, helps to solve and gain the knowledge and take the strategic decisions and to better understanding to creditworthiness of startups,

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Key issue: The key issue of the case is jabil's challenge in assessing the credit worthiness of the startup company's

Recommendation: I would recommend that internal employees can be trained on the new technologies so that they don't loose their jobs and also this can benefit the company in long term and establish the internal competition by conducting employee engagement programs and also hire the external consultancy with cautiousness this will provide the opportunity for the internal teams to gain knowledge from the external teams.

Justification: By fostering collaboration internally by harnessing internal talents and by leveraging the collective intelligence of the data scientist in entire world.

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Key Issue-In this case, it shows the best way for Jabil Inc. to create a trustworthiness model which was provided by data scientists team that effectively measures the risk of collaborating with technology startups and also wants to increase its client base by partnering with startups.

Recommendation-Jabil Inc. engage with the Responsible Business Alliance (RBA) to create a common creditworthiness model. This collaboration will give Jabil access to resources, lower expenses, and streamline the audit process.

Justification- This cooperative method ensures aligning with industry standards and simplifies the audit process, allowing Jabil to rapidly assess the risk of engaging with technology startups and encourage profitable development.

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Key Issue-The key issue in this case is the challenge Jabil faces in assessing the creditworthiness of smaller technology start-up companies using predictive models to support its growth strategy.

Recommendation- It is recommended that Jabil continues to refine and develop its in-house predictive model by hiring external consultants for assessing creditworthiness to effectively vet potential startup partners.

Justification- It's recommended that Jabil refines its predictive model and hires external consultants to assess creditworthiness for effective vetting. This approach enhances decision-making by leveraging both internal expertise and external insights, ultimately mitigating risks and maximizing success in partnering with startups.

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Key Issue- Enhancement in the existing Jabil's model to measure the more accurate creditworthiness of technology startups due to its increasing complexity.

Recommendation-

I would recommend that Jabil Inc. should collaborate with the RBA for further advancement in the model to achieve more accuracy in the model.

Justification-

1.RBA already have their expert team which can help to build this model faster because of the joint efforts of RBA and Jabil.

2.Also this partnership will save the cost of hiring external consultants as well the the time for the development efforts.

3. Furthermore, because of RBA partnership, there are chances of less rigorous auditing process of the model as the model would not be Jabil specific product.

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Key Issue - Jabil wants to expand it's customers by tying up with start-ups, but lacks a predictive model that can assess the creditworthiness of these start-ups.

Recommendation - Hiring external consultants to build the model and find the budget to do.

Justification - By hiring consultants, the team could match with the timelines and avoid over burdening their work along with their full-time responsibilities. Also, the hired consultants would give dedicated time to work on the project.

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Key Issue -Managing the Financial Risks trough Innovative Solutions for creating an internal model to better predict and manage its credit ratings.

Recommendation-

1.organizing a data analytics competition

2.Creating a new credit risk assement model

3.Improve the CRA's

Justification- by creating a competation among the employees create an awreness and then get with the new ideas and enhance the model.

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1)The key issue is finding the right path for Jabil, which would contribute to its growth strategy by investing in startups and mitigating financial risks.

2) The recommendations include-

1)continuing work to create a robust model internally

2)partnering with RBA to create a shared model

3) Create internal Jabil competition to build a model

4) Hire external consultants to get the work done.

3) Creating a model would perfectly help achieve their goals but assessing all the possibilities,hosting an internal competition would benefit them on the whole as it is a cheaper option and it utilizes the internal talent efficiently by combining all the bright minds in Jabil across

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key issue: The main challenge is finding the best plan of action to develop a precise, readable creditworthiness model that enables Jabil to grow its startup customer base while managing risks and expenses.

Recommendations: I will partner with the Responsible Business Alliance (RBA) to create a shared creditworthiness model

Justification: Option 4 is chosen due to its advantages over alternatives, including the RBA's current staff and capabilities, the avoidance of Jabil's internal auditing procedure, the ability to retain access even without complete ownership, and the relative efficiency gains. The reasoning is that, given the facts of the case, Jabil appears to benefit more from partnership than without it.

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1) The Key Issue being faced is briefly described

The need for Jabil to enhance its creditworthiness prediction model to accurately assess the credit risk of its small technology startup customers.

2) The Recommendation – the course of action recommended for the protagonist to take

Facing the current challenge, I'd suggest Mitchell, our protagonist, takes a holistic approach to developing the model. He should continue refining it internally, paying attention to not just traditional metrics but also incorporating factors like B2B transaction data and industry stability. It's important for Mitchell to ensure the model's transparency and auditability to meet regulatory standards, making it a more human-centric and accountable process.

3) The Justification - key points that support the recommendation with facts from the case and a rationale for the recommendation

The recommendation to Mitchell centers on a multi-faceted approach to model development, urging a continuation of internal efforts. This approach is justified by the need for Jabil to retain control over the model's design, ensuring alignment with the company's unique requirements. The emphasis on incorporating both traditional financial metrics and non-traditional factors, like B2B transaction data and industry stability, stems from the recognition that a comprehensive model is essential for accurate credit risk assessment. This approach reflects a strategic commitment to a tailored and transparent model, positioning Jabil to navigate the complexities of credit assessment effectively.

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1) The Key Issue being faced is briefly described

The key issue revolves around the need to enhance the predictive model accuracy and effectiveness on the creditworthiness for assessing small technology startup customers. Mitchell is depicted as the key decision-maker who must choose between various options and considerations to determine the best course of action for advancing the model's development.

2) The Recommendation –

The protagonist should continue with the existing internal team to further develop the creditworthiness prediction model.

3) The Justification -

I believe that Sticking with the current internal team leverages existing expertise, minimizes costs associated, ensures continuity for the development, and maintains control over the development process, ensuring that the model aligns closely with Jabil's specific needs and objectives.

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Key issue-Candy Mitchell, Information Technology Director at Jabil Inc., has a challenge at hand to assess the creditworthiness of the technology startups and to decide on what companies to support based on the predictive model that they have designed internally. But, the accuracy of the model currently is only 86%, they want to improve it to a significant percentage as it is vital decision maker in choosing the company to be associated with Jabil.

Recommendation- I recommend conducting an internal competition within Jabil rather than associating someone from outside the company.

Justification- I feel like taking help in achieving the task from outside like from RBA or conducting external competition from outsiders would pose a threat to the purpose of Mitchell, there can be a risk of data breach or replicating the model and misusing the inside information which would cost Jabil and disrupts the purpose of their search to improve the predictiveness of the model

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Key issue- The key issue is, Jabil to serve the new strategy of doing business with startups, they need to have a predictive model to test their financial viability soon so that they can partner with the startups and gain profits. The existing model is only built for testing the business which are stable and have good credit rating. Mitchel who is Director of Information Technology decided to build the model. But building the model comes up with many hurdles.

Recommendation- Hire External Consultants to Build the Model.

Justification- Hiring a good team of engineers and developing a model will solve the problem without effecting the existing teams day to day work. It requires initial investment but once the model is built it will not require the assistance of the team if the team creates a good documentation of their work like how the data model is build, factors taken into consideration and details related to the model.

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Key Issue - The key issue for Candy Mitchell is developing an accurate, explainable and auditable creditworthiness assesment model for startup customers to reduce financial risk.

Recommendation - I recommend to organize an internal competition to develop the model if the outcome is not satisfactory they can have outside partnership.

Justification - An internal competition leverages existing data science talent, is low cost, and allows flexibility in model design while avoiding the drawbacks of the other options.

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Key issue- developing a data model which predicts the creditworthiness of the startups since Jabil Inc is willing to do business with the technology startups.

Recommendation- conduct an internal competition.

Justification- As the Hackathon will engage numerous minds, which will result in diverse set of solutions. Among the solutions, we can identify the practical data model. This will also give complete ownership of the model.