You are here

Customer Behaviour Data Analytics For Business Impact

SIM Professional Development (SIM PD) is the leading provider for adult learning, training and development for corporate and career development. We provide a wide range of quality executive programmes, corporate training, seminar and workshops in areas of soft skills training, leadership training, sales training, management training, personal effectiveness & productivity, project management training, strategy execution and forumation.

customer behaviour data analytics for business impact

Introduction

We live in the age of data.

Being able to mine customer data makes the crucial difference between being at the forefront of the data-driven environment versus being left behind.
Understanding your customer behaviour will make all the difference to your customer service, sales and marketing.

Developing data-driven insights and trends in customer preferences form the core of all business. To maximise the skills acquired from the course, Microsoft Excel will be used since commercial propriety software packages may incur additional costs to businesses.

Benefits to You

Business Outcome

- Learn how data analytics helps you better understand customer behaviour and choices.

- Acquire hands-on skills to analyse different types of customer data.


Learning Outcome

- Identify customer touchpoints, point of interaction between brands, businesses,products and customers

- Determine the attributes of a product or service that are most important to drive consumers’ product choices

- Identify and separate customer base with common characteristics to gain a deeper understanding of customer profile segments

- Describe the different stages of a customer life cycle

- Segment customers into clusters and make the right marketing decisions

- Calculate a customer’s lifetime value to increase profitability

- Identify sets of products that customers may purchase and how this can improve sales

Programme Outline

What do Customers Want?
o Predict whether a customer will buy your product or service using Logistic Regression.
o Identify important features of best-selling products.
o Identify which product features satisfy the customers’ basic needs and which features will delight your customers.
Understanding the Customer Life Cycle
o Reach, acquisition, conversion, retention, loyalty
Are there Subgroups among your Customers that you can Target Specifically?
o Cluster analysis of customers to identify tops, tails and segments.
Customer Lifetime Value
o Estimate the value that your company will derive from your entire relationship with each of your customers.
Market Basket Analysis
o Discover customer purchasing habits using Association Rules.

Who Must Attend

(Level 2) Supervisors, Executive, & Emerging Managers     
(Level 3) New Managers     
(Level 4) Managers

Programme Leader
Dr Yeo Wee Kiang has more than 1,500 hours of overseas and local classroom teaching and facilitation experience in Data Science. 
He holds the WSQ Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning Singapore. His company is focused on providing data science training and consultancy to businesses keen on applying analytics and AI. 
Dr Yeo received his doctorate from the National University of Singapore. For his PhD work, he specialised in machine learning and data mining in a multinational pharmaceutical company, where he built methodologies for the discovery of drug candidates, for which he received the Best Graduate Researcher award.
Registration
CategorySIM Member Fee  (S$)Non-member Fee  (S$)
  Total Fee (S$)   Total Fee (S$) 
Fee/Pax (S$)GST (S$) including GSTFee/Pax (S$)GST (S$) including GST
Normal Fees850.0059.50909.50             960.0067.201027.20
Early Bird Fees10% DISCOUNT OFF THE FEES ABOVE
- terms & conditions applies; please call to enquire.
 
Early Bird Fees closing date for the programme :    
Prog Scheduled DateRegister & Pay by
June 26 & 27, 201915/05/2019
September 26 & 27, 201915/08/2019

Enquiries : Grace Tan - 62489414 | 62466746, gracetan@sim.edu.sg

Foreign participants sponsored by their companies, GST is not applicable. If payment is made by a Singapore-registered company, GST will apply.

Non-members are welcome to sign up for SIM membership to enjoy the discounted rate. To sign up for SIM Membership, please visit www.pd.sim.edu.sg/membership/overview, email membership@sim.edu.sg or call 6248 9489. To register for the programmes now, select the preferred programme run-dates below through the register icon. "Register", which will bring you to the registration page.

DateTimeVenueRegistration Closing Date 
26/09/2019 - 27/09/201909.00 am - 5.00 pmSIM Management House, 41 Namly Avenue, Singapore 267616Sep 12, 2019 Register