NICF- Customer Analytics

NUS Institute of Systems Science

How long?

  • 3 days
  • in person

What are the topics?

NUS Institute of Systems Science

Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Reviews

Make sure this course is right for you.

Get unbiased reviews and personalized recommendations.

Who should attend

  • Marketing practitioners and data analysts preferably with more than two years of experience
  • Professionals who have an active interest in customer analytics
  • Marketing Managers, CRM Managers and Marketing Analysts
  • Business Development Managers, Senior Business Analysts and Business Analysts
  • Data Managers, Senior Data Analysts, Senior Information Analysts, and Information Analysts

About the course

This is a course designed to help participants understand and analyse their existing customer base across the customer life-cycle from acquisition to retention and develop strategies to reach out to them to deepen the relationship. Overall customer management framework are taught. Participants learn to apply analytical techniques that help in segmenting, profiling and ranking customers on various metrics. They also learn to how to reduce data volume by dimension reduction techniques, handle various types of behavioral data in a structured manner for creating analytical tools for customer management.

This is a hands-on course that teaches you how to use different analytical techniques to solve different business objectives. Topics will be taught using practical workshops using software like SPSS Statistics, SPSS Modeller, JMP and Excel.

Key Takeaways

At the end of the course, participants will be able to:

  • Understand the customer management life-cycle and the infrastructure to manage it.
  • Apply dimension reduction techniques (PCA/Factor analysis) to identify core dimensions/factors based on various customer characteristic/ behaviour/product holding variables to arrive at efficient solution for decision making. This method also helps to manage large number of variables for other analytics techniques like prediction etc.
  • Develop multivariate customer segmentation using all types of variables/features or factors to design and execute marketing strategies profitably. For example, the most profitable customer segment might receive special treatment than other customer segments
  • Apply customer profiling so that customer segments are better understood, behaviourally (e.g. how much they spend per month, how long have they been buying from the business) and touchpoints they access for appropriate strategy formulation for targeted marketing for deepening relationship
  • RFM analysis both for segmentation and other customer development strategies

What Will Be Covered

  • Introduction to Customer Management Framework
  • Customer Life Cycle
  • CRM infrastructure and strategy
  • Dimension Reduction Techniques
  • Segmentation using Cluster Analysis
  • Persona Modelling (Profiling) and RFM Analysis

Experts

Rita Chakravarti

Rita as a seasoned analytics professional has 25+ years of experience in Financial Services, Insurance and Market Research specializing in Scoring (operational & regulatory), Risk Management, Marketing Analytics, Analytics Strategy Development, Analytics Infrastructure, Analytics team managem...

Nirmal Raja Palaparthi

Nirmal is an Analytics professional with 18 years of experience in building practices from ground up in Asia. He has Co-founded and successfully exited from two Analytics companies. The first was Fractal Analytics, India’s leading third party analytics provider and the second: Mobius Innovations,...

Dave Hufton

David Hufton graduated from Kings College, Cambridge in 1975, and went on to complete an MSc in Statistics at Imperial College, London. Since then he has worked for a wide spectrum of companies during his forty years in Industry, including Aerospace companies, IT companies Government Departments ...

Rajnish Tuli

16 years of experience in marketing insights and analytics across Asia, with special focus on consumer, retailing, brand research and policy development and evaluation. Expertise to integrate data from multiple sources. Extensively worked on segmentation, brand positioning, pricing decision, ROI,...

NICF- Customer Analytics at NUS Institute of Systems Science

From  2953 SGD$2,216

Something went wrong. We're trying to fix this error.

Thank you for your application

We will contact the provider to ensure that seats are available and, if there is an admissions process, that you satisfy any requirements or prerequisites.

We may ask you for additional information.

To finalize your enrollment we will be in touch shortly.

Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.

We are happy to help you find a suitable online alternative.