  Business statistics play a crucial role in implementing a data-driven
strategic plan at the enterprise level to employ various analytics where the
outcomes of such a plan enable an enterprise to enhance the decision-making
process or to mitigate risks to the organization. In this work, a strategic
plan informed by the statistical analysis is introduced for a financial company
called LendingClub, where the plan is comprised of exploring the possibility of
onboarding a big data platform along with advanced feature selection
capacities. The main objectives of such a plan are to increase the company's
revenue while reducing the risks of granting loans to borrowers who cannot
return their loans. In this study, different hypotheses formulated to address
the company's concerns are studied, where the results reveal that the amount of
loans profoundly impacts the number of borrowers charging off their loans.
Also, the proposed strategic plan includes onboarding advanced analytics such
as machine learning technologies that allow the company to build better
generalized data-driven predictive models.
