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Analytics for Business Decision Making - Summer '23

Business 4045-82861
Fermé
Contact principal
George Brown College
George Brown College
Toronto, Ontario, Canada
Richard Boire
Richard Boire
Professor
(15)
5
Chronologie
  • mai 19, 2023
    Début de Expérience
  • août 16, 2023
    Fin de Expérience
Expérience
6/7 match de projet
Dates fixées par le Expérience
Compagnies privilégiées
N'importe où
Tout type de Compagnie
N'importe qu'elle industrie

Portée de Expérience

Catégories
Segmentation de la clientèle Analyse marketing Apprentissage automatique Analyse des données Data science
Compétences
programming data visualization/reporting
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

Apprenant.es
étudiant.e de cycle supérieur
Tout niveau
30 Apprenant.es dans le programme
Projet
120 heures par Apprenant.e
Les Apprenant.es s'auto-attribuent
Équipes de 4
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 19, 2023
    Début de Expérience
  • août 16, 2023
    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 Compagnie

Les Compagnies doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette Expérience:

  • Q1 - Case à cocher
     *