Business Analytics – Making Data Driven Business Decisions

Past Programmes

20
Nov 2019

8:30 am - 1:00 pm

Securities Commission Malaysia

5 CPE

MYR 550 *Fee is not inclusive of 6% SST

Business Analytics – Making Data Driven Business Decisions

 

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 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:

  1. Recognise various applications of analytics and analytics cycle
  2. Review data preparation and visualisation concepts
  3. Discuss different business analytics models and its applications

Methodology

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

Competencies

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

Target Audience

Individual 

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

Institutions 

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

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

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