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Analytics for Business Decision Making

Capstone Data Project

Fermé

Contact principal

George Brown College

Toronto, Ontario, Canada

Richard Boire

Professor

(15)

Chronologie

mai 18, 2022

Début de expérience
août 23, 2022

Fin de expérience

Expérience

11/8 match de projet

Dates fixées par le expérience

Entreprises privilégiées

Canada

Any

N'importe qu'elle industrie

Portée de Expérience

Catégories

Analyse des données

Compétences

data analytics data visualization data analysis exploratory data analysis

Objectifs et capacités de apprenant.es

Many organization face the challenges of developing information into knowledge, and then converting that intelligence into actionable decisions. Organizations demand the interdisciplinary skills of professionals that can find insights through data, and are capable of telling stories about data that can assist decision makers across various business divisions. More importantly, students will be able to create a narrative on how advanced analytical techniques can be used to provide actionable business solutions.

Your company can be part of a project by accepting to assign a task to a multidisciplinary team of students for a term of 12 weeks.

Apprenant.es

Premier cycle universitaire

Tout niveau

30 apprenant.es dans le programme

Projet

100 heures par apprenant.e

Les apprenant.es s'auto-attribuent

Équipes de 3

Résultats et livrables attendus

· 10 Deliverables over a 15 week engagement period that include:

· A project proposal document

· A fully detailed written report

· An on-site executive summary presentation

Chronologie du projet

mai 18, 2022

Début de expérience
août 23, 2022

Fin de expérience

Exemples de projets

Exigances

What is included?

· Up to a 4 student multi-disciplinary teams

· 400 Hours of work or more

· A Supervising professor who supports the students and guides the project

· 10 Deliverables over a 15 week engagement period that include:

· A project proposal document which includes:

background and introductions
problem definition and challenge
data requirements and data sources
methodology and approach
detailed analytical output regarding the use of both advanced and non-advanced analytics with key findings and insights, and how they benefit the organization
recommendations and conclusions

· An on-site executive summary presentation

Types of Projects

· Development of Reporting Dashboards with drill down analytical capabilities

· Development of predictive analytics solutions using machine learning techniques which include use of artificial intelligence

· Customer Segmentation Development including clustering-type solutions

· Customer Relationship Management Campaign Design and Implementation

Critères supplé mentaires pour entreprise

Les entreprises doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette expérience:

Q1 - Case à cocher

Sponsor is responsible for providing any internal data sources or access to data sources at the commencement of the project.

Q2 - Case à cocher

Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.

Q3 - Case à cocher

Direct costs incurred by the students that are subjected to prior approval of the hosting organization are to be reimbursed

Q4 - Case à cocher

Sponsor must provide GBC a 1/2 page proposal brief that outlines the project background and proposed scope. This must be approved by the supervisor no later than 1 day prior to the commencement of the engagement

Q5 - Case à cocher

Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.