Building an analytics framework for predicting customer default****

构建用于预测客户违约的分析框架****

基本信息

  • 批准号:
    535756-2018
  • 负责人:
  • 金额:
    $ 1.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Engage Grants Program
  • 财政年份:
    2018
  • 资助国家:
    加拿大
  • 起止时间:
    2018-01-01 至 2019-12-31
  • 项目状态:
    已结题

项目摘要

This research aims to deliver expertise in data analytics and predictive modeling to help Scotiabank prepare a dataset that is amenable for analysis and to develop and implement predictive models for customer default. The project will help accomplish the following tasks; 1. Extract, organize and integrate data from the different systems identified by the bank, 2. Fix data quality issues (inconsistencies, missing values, duplication, etc.), 3. Transform the raw data into derived variables which can be useful model inputs and perform characteristics analysis, 4. Develop predictive models using machine learning algorithms. **With large volumes of data accumulated by companies every day, it is imperative that they find a more efficient and effective way to manage their data, and proactively assess risk to ideally help reduce and even prevent customer default. This research will help the company equip its platform with new capabilities to efficiently handle diverse data, and use it to predict customer default. Additionally, the project will provide a valuable learning and training environment for Highly Qualified Personnel (HQP) who will develop the skills and expertise to develop predictive modeling techniques for financial institutions.**********
这项研究旨在提供数据分析和预测建模方面的专业知识,以帮助丰业银行准备一个适合分析的数据集,并开发和实施客户违约预测模型。该项目将帮助完成以下任务:1。从银行确定的不同系统中提取、组织和整合数据; 2.修复数据质量问题(不一致、缺失值、重复等),3.将原始数据转换为衍生变量,这些变量可以是有用的模型输入并执行特性分析。使用机器学习算法开发预测模型。** 随着公司每天积累大量数据,他们必须找到一种更有效的方法来管理数据,并主动评估风险,以帮助减少甚至防止客户违约。这项研究将帮助该公司为其平台配备新的功能,以有效地处理各种数据,并利用这些数据来预测客户违约。此外,该项目将为高素质人员(HQP)提供宝贵的学习和培训环境,他们将开发为金融机构开发预测建模技术的技能和专业知识。

项目成果

期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
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Karray, Salma其他文献

Cooperative advertising in a supply chain with retail competition
Assessing credit risk of commercial customers using hybrid machine learning algorithms
  • DOI:
    10.1016/j.eswa.2022.116889
  • 发表时间:
    2022-03-31
  • 期刊:
  • 影响因子:
    8.5
  • 作者:
    Machado, Marcos Roberto;Karray, Salma
  • 通讯作者:
    Karray, Salma
The impact of a store brand introduction in a supply chain with competing manufacturers: The strategic role of pricing and advertising decision timing
Fighting store brands through the strategic timing of pricing and advertising decisions
  • DOI:
    10.1016/j.ejor.2018.11.066
  • 发表时间:
    2019-06-01
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Karray, Salma;Martin-Herran, Guiomar
  • 通讯作者:
    Martin-Herran, Guiomar
Effectiveness of retail joint promotions under different channel structures

Karray, Salma的其他文献

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{{ truncateString('Karray, Salma', 18)}}的其他基金

Game theoretic models in supply chains
供应链中的博弈论模型
  • 批准号:
    RGPIN-2020-05156
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Game theoretic models in supply chains
供应链中的博弈论模型
  • 批准号:
    RGPIN-2020-05156
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Game theoretic models in supply chains
供应链中的博弈论模型
  • 批准号:
    RGPIN-2020-05156
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Game-theoretic models for competitive supply chains
竞争性供应链的博弈论模型
  • 批准号:
    RGPIN-2015-03880
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Game-theoretic models for competitive supply chains
竞争性供应链的博弈论模型
  • 批准号:
    RGPIN-2015-03880
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Game-theoretic models for competitive supply chains
竞争性供应链的博弈论模型
  • 批准号:
    RGPIN-2015-03880
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Game-theoretic models for competitive supply chains
竞争性供应链的博弈论模型
  • 批准号:
    RGPIN-2015-03880
  • 财政年份:
    2016
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Game-theoretic models for competitive supply chains
竞争性供应链的博弈论模型
  • 批准号:
    RGPIN-2015-03880
  • 财政年份:
    2015
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Applications of game theory to competitive interactions in channels
博弈论在渠道竞争互动中的应用
  • 批准号:
    312527-2007
  • 财政年份:
    2012
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Applications of game theory to competitive interactions in channels
博弈论在渠道竞争互动中的应用
  • 批准号:
    312527-2007
  • 财政年份:
    2011
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual

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