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Analytics: Putting It All to Work

  • Tuition USD $850 GSA  $770.78
  • Reviews star_rate star_rate star_rate star_rate star_half 945 Ratings
  • Course Code BAPUT
  • Duration 1 day
  • Available Formats Classroom

Many companies are flooded with huge amounts of data available in corporate databases and/or data warehouses. A key challenge is how to optimally manage this data overload and use analytics to better understand, manage, and strategically exploit the complex dynamics of customer behavior. This class starts by giving an overview of the steps involved when working out an analytics project in a practical business setting. After discussing the key data preprocessing activities, this course elaborates on how you can efficiently use and deploy both predictive and descriptive state-of-the-art analytics to optimize and streamline your strategic business processes such as marketing campaigns and/or risk management. Examples of business applications that are covered include credit scoring and risk modeling, customer retention and response modeling, market basket analysis and cross-selling, customer lifetime value modeling, and Web intelligence and social network analytics. You receive extensive practical advice and guidelines on how to put all the analytical tools and concepts to work in a real-life setting. The class focuses on analytical concepts, techniques, and methodologies and their applications. Software demonstrations illustrate and clarify the concepts, but no hands-on use of software is included. The class includes self-study sections with additional real-life case studies.

Skills Gained

  • develop high-performing analytical business models using state-of-the-art analytics and data mining
  • get more in-depth knowledge about your customer equity using analytics
  • optimally prepare and enrich your data as a key ingredient to powerful analytics
  • predict customer behavior using regression and decision tree approaches
  • describe customer behavior using association rules, sequence analysis, and clustering
  • use social network data and analytics to better understand and manage collective customer dynamics
  • put analytics to work in a practical business setting.

Who Can Benefit

  • 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, on-line retailers, advertising, Pharma

Prerequisites

  • Before attending this course, you should have a basic background in statistics.

Course Details

Introduction

  • examples of business analytics
  • the analytics process model
  • predictive versus descriptive analytics
  • analytics model requirements
  • post processing

Data Collection, Sampling, and Preprocessing

  • types of data sources
  • sampling
  • missing values
  • outlier detection and treatment
  • categorization
  • weights of evidence coding
  • information value

Predictive Analytics

  • target definition
  • regression
  • logistic regression
  • decision trees
  • regression trees
  • evaluating classification models
  • ROC analysis
  • lift curve
  • regression diagnostics
  • case study: churn prediction in a telco context

Descriptive Analytics

  • association rules (support, confidence, a priori, interestingness, and so on)
  • cross selling and market basket analysis
  • recommender systems
  • sequence analysis
  • segmentation
  • hierarchical versus non-hierarchical (for example, k-means) clustering

Social Network Analytics

  • social network applications
  • social network metrics
  • social network-based inference
  • Markov property
  • relational logistic regression

Putting Analytics to Work

  • analytics model requirements
  • model interpretation
  • monitoring analytical models
  • backtesting
  • benchmarking
  • data quality
  • corporate governance and management oversight

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.

When does class start/end?

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

Does the course schedule include a Lunchbreak?

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.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Very good course, clear and concise. Labs worked perfectly, no set-up required.

Ruben was very energetic in presenting the course material which kept our attention. Thanks!

Very prompt during an issue that occurred, and accidentally contacted an individual on their vacation, but they quickly pointed me to another individual who got my issue resolved.

The format and presentation using the iMVP software worked as well.

The course was overall very good, I would recommend breaking some topics into their own respective courses such as cloudformation as 1 lecture does not do it justice.

The presenter was knowledgeable and professional. The duration of the course, the pace and venue was suitable also

0 options available

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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