BC 省律师协会如何使用 Dataiku 进行风险排名和异常检测
公司规模
Large Corporate
地区
- America
国家
- Canada
产品
- Dataiku
技术栈
- Predictive Analytics
- Machine Learning
- Data Visualization
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 分析与建模 - 预测分析
- 分析与建模 - 机器学习
适用行业
- Professional Service
适用功能
- 商业运营
用例
- 质量预测分析
- 监管合规监控
服务
- 数据科学服务
关于客户
不列颠哥伦比亚省律师协会是一家非营利性组织，负责监管不列颠哥伦比亚省的律师，其职责是保护公众对法律管理的利益，并确保律师的独立性和能力。他们还就影响司法系统和法律服务交付的问题发表意见。不列颠哥伦比亚省律师协会监管着 13,000 名执业律师和 3,800 家律师事务所。他们涵盖了端到端的法律生命周期，从监管举措到司法公正。
挑战
不列颠哥伦比亚省律师协会是一家负责监管不列颠哥伦比亚省律师的非营利组织，该协会希望提高其信托保证审计计划的有效性。该组织监管着 3,800 家律师事务所，每年审计约 550 家律师事务所，这意味着每家律师事务所至少每四到六年接受一次审计。该协会拥有三十年的历史数据，这使他们能够根据律师事务所的风险水平对其进行分类：低风险、中性风险或高风险。该组织决定专注于风险因素，并在此基础上根据每家律师事务所的风险类别调整审计计划。不列颠哥伦比亚省律师协会的高级管理团队坚信，人工智能和机器学习将在不久的将来在他们的职责中发挥重要作用。他们知道是时候利用他们收集的数据并利用技术来识别模式和行为，并提高律师协会计划的有效性和效率了。
解决方案
BC 律师协会评估了大量数据科学和机器学习平台，最终选择了 Dataiku。律师协会使用 Dataiku 支持对律师事务所的主动监管。信托审计计划的总体目标是成为一个有效且高效的计划，帮助确保律师适当处理信托基金，而 Dataiku 则帮助识别律师事务所的风险因素。律师协会使用 Dataiku 中的预测分析来了解哪些因素会导致公司面临风险，例如营业年限、律师的平均执业年限、投诉和听证会的数量、上次信托审计分数等等。使用 Dataiku，他们从合规的角度预测公司的风险概率，根据公司的背景和历史确定具有高、低和中性风险因素的公司。在确定属于高风险类别的公司后，律师协会会要求该公司提供账簿和记录，以便使用审计程序和算法进一步检测和分析异常。
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