Private Banking Advisers at Bcb Edmonton (a)

Anton Ovchinnikov
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Abstract

A bank manager is thinking about how to manage the new private banking advisers (PBA) practice in her region. For that she needs to determine how many PBAs she needs, where they should be located, and to which branches each of them should be assigned. This three-case series exposes students to the underlying sequence of analytical tasks, which culminate in solving an integer-programming optimization model—a main tool of prescriptive analytics. The assignment part of the problem (e.g., given the home-base locations of advisers, how should branches be assigned) is solvable in Excel, but the higher-level problem of where the PBAs should be located is beyond the scale of the built-in Excel solver. The case's teaching note recommends the Gurobi solver (which is available to students for free), that is controlled through a Python interface (which is on track to becoming world's most popular programming language). The (A) case presents the problem and data "as they are." The (B) case focuses on the descriptive analytics task of visualizing the branch locations to gain intuition. Tableau software is used with default and advanced mapping functionality. The (C) case focuses on the predictive analytics task of estimating travel times between branches. Python code for that is provided, which repeatedly calls Google Maps to obtain the travel times—a task known as the application programming interface (API). By following the A-B-C sequence, the students will have all they need to build the optimization model. With A-B, they have a lot of intuition but still need to estimate travel times. With just the A case, the situation is mostly open ended: it is up to the students to decide what to do, in addition to how to do it.The case is suitable for advanced undergraduate or MBA electives on analytics, or for fast-growing Masters in Analytics programs. Excerpt UVA-QA-0905 Dec. 10, 2018 Private Banking Advisers at BCB Edmonton (A) “I think we need six,” thought Wallace, looking at the data of the Edmonton area branches of the Big Canadian Bank (BCB) (Exhibit 1). “But will the six work? And could five work?” she wondered. “Five would certainly be better than six. Or maybe even four?” Wallace was referring to an important pilot that BCB was planning to run first in Edmonton before rolling out nationally and internationally: Private Banking Advisers (PBA) practice. She needed to decide how many PBAs the Edmonton area would need. Canadian Banking, “Big Five,” and BCB . . .
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Bcb Edmonton私人银行顾问(a)
一位银行经理正在考虑如何管理她所在地区新的私人银行顾问(PBA)业务。为此,她需要确定她需要多少个pha,它们应该位于何处,以及应该将它们分配到哪个分支。这三个案例系列向学生展示了分析任务的基本序列,最终解决了一个整数规划优化模型-规定性分析的主要工具。问题的分配部分(例如,给定顾问的总部位置,应该如何分配分支机构)可以在Excel中解决,但更高级的问题,即PBAs应该位于何处,超出了内置Excel求解器的范围。该案例的教学说明推荐使用Gurobi解算器(学生可以免费使用),该解算器通过Python接口进行控制(Python正在成为世界上最流行的编程语言)。(A)案例呈现了问题和数据的“本来面目”。(B)案例侧重于可视化分支位置以获得直觉的描述性分析任务。Tableau软件与默认和高级映射功能一起使用。(C)案例侧重于预测分析任务,即估算分支机构之间的旅行时间。为此提供了Python代码,它反复调用Google Maps以获得旅行时间——这个任务被称为应用程序编程接口(API)。通过遵循A-B-C顺序,学生将拥有构建优化模型所需的一切。对于a - b,他们有很多直觉,但仍然需要估计旅行时间。在A的情况下,情况基本上是开放式的:除了如何做之外,还要由学生决定做什么。本案例适用于分析学的高级本科或MBA选修课,或快速增长的分析学硕士课程。“我认为我们需要六个,”华莱士想,看着加拿大大银行(BCB)埃德蒙顿地区分行的数据(表1),“但六个会起作用吗?五个人能行吗?她想。“五个肯定比六个好。或者甚至是四个?”华莱士指的是BCB计划首先在埃德蒙顿开展的一项重要试点:私人银行顾问(PBA)业务,然后再向全国和国际推广。她需要决定埃德蒙顿地区需要多少博士学位。加拿大银行,“五大银行”和加拿大银行…
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