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Profit-Driven Business Analytics

  • Tuition USD $850
  • Reviews star_rate star_rate star_rate star_rate star_half 519 Ratings
  • Course Code BPDBA
  • Duration 1 day
  • Available Formats Classroom

This course provides actionable guidance on optimizing the use of data to add value and drive better business decisions. Combining theoretical and technical insights into daily operations and long-term strategy, this course acts as a development manual for practitioners who seek to conceive, develop, and manage advanced analytical models. Detailed discussion delves into the wide range of analytical approaches and modeling techniques that can help maximize business payoff, and the instructor team draws upon their recent research to share deep insights about optimal strategy. Real-life case studies and examples illustrate these techniques at work, and provide clear guidance for implementation in your own organization. From step-by-step instruction on data handling, to analytical fine-tuning, to evaluating results, this course provides invaluable guidance for practitioners seeking to reap the advantages of true profit-driven business analytics.

Skills Gained

  • develop profit-driven descriptive analytics models
  • develop profit-driven predictive analytics models
  • evaluate profit-driven analytics models
  • develop and evaluate uplift models
  • understand the economic impact of analytics.

Who Can Benefit

  • Data scientists, business analysts, senior data analysts, quantitative analysts, data miners, senior CRM analysts, marketing analysts, risk analysts, analytical model developers, online marketers, and marketing modelers in the following industries: banking and finance, insurance, Telco, online retailers, advertising, Pharma

Prerequisites

  • Before attending this course, you should know how to do the following:
  • develop predictive models using linear regression, logistic regression, and decision trees
  • evaluate predictive models using a confusion matrix, receiver operating characteristic (ROC) curve, and lift curve
  • develop descriptive analytics models using hierarchical and k-means clustering
  • develop descriptive analytics models using association and sequence rules.

Course Details

Introduction

  • profit-driven business analytics
  • introduction to profit-driven descriptive analytics
  • introduction to profit-driven predictive analytics
  • introduction to uplift modeling
  • introduction to profit-driven evaluation
  • the business analytics process model

Profit-Driven Descriptive Analytics

  • profit-driven segmentation
  • profit-driven association rules

Profit-Driven Predictive Analytics

  • cost matrix
  • -profit-driven decision making with cost-insensitive models: threshold setting
  • profit-driven predictive analytics framework: pre-training, during-training, post-training methods
  • pre-training methods: sampling and weighting
  • during-training methods: cost-sensitive logistic regression and cost-sensitive decision trees
  • post-training methods: threshold tuning and MetaCost
  • hybrid methods
  • cost-sensitive regression: BSZ tuning
  • self-study: profit driven ensemble methods

Uplift Modeling

  • uplift modeling versus response modeling
  • modeling approaches
  • evaluation of uplift models
  • self-study: ensembles

Profit-Driven Evaluation

  • total profit, average profit
  • H-measure
  • ROCIV - AUCIV
  • maximum profit (MP)
  • expected maximum profit (EMP)
  • regression models

Economic Impact

  • economic value of big data and analytics
  • key economic considerations
  • improving ROI of big data and analytics
  • conclusions

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

Lab infraestructure is very suitable and works pretty good help to understand better the concepts exposed during the training.

Great experience with using the online training with Webcam and Zoom. It is as if I was there in the same classroom but in the comfort of my own setting.

Very good and easy system, Azure pass registration process should be slightly better with not having to get a new outlook account.

Setup for the training was easy and participants were mostly provided with the necessary things for continued learning, however, a couple people in my class dealt with technical issues with their virtual machines in the virtual training.

Bill has been outstanding instructor. He has right balance of knowledge and skills to navigate this entire process in a timely manner. Thanks a lot Bill.

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There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

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