Business analytics - making data driven business decisions

Dates:  9 October 2018 (8.30am - 1.00pm) 
Venue: Securities Commission Malaysia
Accreditation: SIDC CPE-approved: 10 CPE points

Data is fundamental for business growth and sustainability in any organisation across the capital market. Analytics is a process performed on data to generate insights that drive decisions that may have direct impact on revenue or other areas of importance.
Global organisations collect, save, categorise and analyse data about their customers, business processes and market economics to study purchasing trends and patterns. Insights from data help organisations predict and inform business decisions in specific areas like marketing, human resources, finance, and operations to innovate and make clearer decisions based on facts, instead of best guesses and past performances. Being data-driven gives business leaders and decision makers the edge to make more accurate business decisions.

  • Programme Delivery

    Programme Objective

    This programme will explain how business analytics can be used in capital market industry applications. It will focus on the basic process of business analytics with case examples

    Learning Outcomes

    Upon completion of this programme, participants will be able to:
    • Recognise various applications of analytics and analytics cycle
    • Review data preparation and visualisation concepts
    • Discuss different business analytics models and its applications


    Interactive presentations, Discussions and Question-and-Answer (Q&A) sessions

    Target Audience

    Dealers’ representatives, representatives dealing in derivatives, analysts and fund managers, compliance officers, legal advisors.

    Stockbroking firms, fund management companies, investment and commercial banks, public listed and private companies


    Core – Customer Focus
    Functional (Technical Skills) - Digital Technology Application
    Behavioural (Organisational Leadership) - Business Acumen
  • Programme Outline

    8.30 am Registration
    9.00 am
    Introduction to Business Analytics
    • What is analytics and why is it so important?
    • Applications of analytics
    • Different kinds of analytics
    • Various analytics tools
    • Analytics project methodology
    • Business Analytics vs. Business Analysis
    • Data Preparation Concepts
    • Data  Visualization Concepts
    10.30 am Coffee Break
    10.45 am
    Business Analytics Models
    • Hypothesis Testing Model
    • Correlation and Linear regression Model
    • Logistic regression Model
    • Segmentation for marketing analytics Model
    • Time series forecasting Model
    • Decision Trees Model
    • Text Analytics – Sentiment Scoring Model
    1.00 pm End of Programme
  • Programme Fees

    Normal Price
    RM 550