Harnessing the Power of  Big Data Analytics

Harnessing the Power of Big Data Analytics

Dates:  4 April 2018 (8.30am - 12.30pm) 
Venue: Securities Commission Malaysia
Accreditation: SIDC CPE-approved: 5 CPE points

For the development of Malaysia’s digital ecosystem, Big Data Analytics has been identified as one of the major catalysts of change that will lead the country to the forefront of innovation and sustainability. For the Malaysian capital market, specifically, Big Data Analytics is recognised as a game changer among industry players and the first movers of big data will definitely have an edge over the competition.
The impact big data is making in the financial world is more of a splash than a ripple. The technology is scaling at an exponential rate and the consequences are far-reaching. Increasing complexity and data generation is transforming the way industries operate and the financial sector isn’t exempt.
Currently, the world is creating 2.5 quintillion bytes of data daily and this represents a unique opportunity for processing, analysing and leveraging the information in useful ways. Machine learning and algorithms are increasingly being used in financial trading to compute vast quantities of data and make predictions and decisions that humans just do not have the capacity for. - Gary Eastwood for CIO, licensed by Bloomberg
Big Data Analytics provides the capital market industry with an opportunity to move away from its legacy systems and traditional methods of analytics inherently fraught with human error to a faster, scalable, more efficient and accurate way of decision making. Massive amounts of complex information from multiple sources can now be crunched and analysed to provide conclusions in a matter of minutes or seconds. Better decision making mechanisms, in turn, will translate into revenue growth, better compliance and risk management for the early adopters.
This programme seeks to provide awareness to the participants of the capabilities, advantages and opportunities that Big Data Analytics has to offer, particularly for the capital market. This includes using big data for financial modelling, providing real time analytics for algorithm trading and machine learning.  


  • Programme Delivery

    Programme Objective

    This programme aims to provide clarity and insights on Big Data Analytics and the benefits and opportunities that capital market participants can leverage and act upon for competitive business advantage. 

    Learning Outcomes

    By the end of this programme, participants will be able to:
    • describe the features, concepts, methodologies, systems and tools that make-up Big Data Analytics;
    • distinguish the various types of providers of Big Data Analytics as well the different services that are offered;
    • discuss the importance, benefits, obligations and challenges of adopting Big Data Analytics for the capital market identify strategies for the adoption and implementation of Big Data Analytics for their organisation


    Interactive presentations, Panel Discussions, Case Study Review and Question-and-Answer (Q&A) sessions 

    Target Audience

    Employees of Investment Banks, Stockbroking and Derivatives Companies (Dealers, Trading Representatives, Compliance, Auditors, Risk Management Officers), Fund Management Companies (Fund Managers, Compliance, Auditors, Risk Management Officers), Analysts, Merchants/Retailers/PLCs, Telco, SMEs, Investors (Retail and Sophisticated), Academicians, University Students and Insurance Companies (Compliance, Auditors, Risk Management Officers)


    Core – Customer Focus
    Functioal (Technical Skills) - Digital Technology Application
     Behavioural - Creativity & Innovativeness  and Business Acumen 

  • Programme Outline

    8.30 am Registration
    9.00 am
    Session 1
    What is Big Data Analytics and Why is Everyone Talking About it?
    • How Big is Big When it Comes to Big Data Analytics
    • Introduction to Big Data Analytics
      • Definitions and Concepts – Volume, Velocity, Variety, Veracity and Value
      • Big Data Analytics Providers and the Services Offered
      • Sources of Big Data – Streaming Data, Social Media Data and other Publicly Available Sources
      • Advantages, Benefits and Challenges of Big Data Analytics
    Big Data Analytics for Businesses (Case Study)
    • Overview of Big Data Analytics and Adoption
    • The Malaysian Landscape and Around the World
    • Regulatory Authorities, Mdec and the ADAX
    • Google
    • Implementation Across Industries – Retail, Telecommunications, Healthcare and Financial Services
    10.00 am Coffee Break
    10.30 am
    Session 2
    Big Data Analytics in the Capital Market (Case Study)
    • From Data Paralysis to Predictive Analysis:
      • Trading Analytics, Investors’ Behaviour and Targeted Product Marketing
      • Know Your Employees Prevention of Money Laundering
      • Risk Assessment
      • Regulatory Compliance
    • Growing with Big Data Analytics
    • Managing the Data from Governance Point of View
    11.15 am
    Session 3
    How Can the Capital Market Industry Gain an Edge from Big Data Analytics (Panel Discussion)
    • Embracing Big Data – Strategies for Business Growth
    • Compatibility: Getting the Technology, Business Operation and  Human Capital Aligned
    • Data Volume vs Data Privacy
    • Assessing Capacity and Infrastructure Readiness
    • The Need for a Data Scientist
    • The Future of Big Data Analytics in the Capital Market
    12.15 pm Question and Answer Session
    12.30 pm End of Programme
  • Programme Fees

    Group of 3 or more pax Normal Price
    RM 524.70 RM 583
    *Inclusive of 6% GST