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.

本文介绍了一个基于统计分析的战略计划，其中探索了可能性采用大数据平台和先进的特征选择能力，包括机器学习等高级分析，以增加公司收入并降低贷款风险，结果表明贷款金额深刻影响了无法偿还贷款的借款人数。