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Business statistics play a crucial role in implementing a data-drivenstrategic plan at the enterprise level to employ various analytics where theoutcomes of such a plan enable an enterprise to enhance the decision-makingprocess or to mitigate risks to the organization. In this work, a strategicplan informed by the statistical analysis is introduced for a financial companycalled LendingClub, where the plan is comprised of exploring the possibility ofonboarding a big data platform along with advanced feature selectioncapacities. The main objectives of such a plan are to increase the company'srevenue while reducing the risks of granting loans to borrowers who cannotreturn their loans. In this study, different hypotheses formulated to addressthe company's concerns are studied, where the results reveal that the amount ofloans profoundly impacts the number of borrowers charging off their loans.Also, the proposed strategic plan includes onboarding advanced analytics suchas machine learning technologies that allow the company to build bettergeneralized data-driven predictive models.

Formulating A Strategic Plan Based On Statistical Analyses And Applications For Financial Companies Through A Real-World Use Case