Going Big with Big Data

Dates:  17 July 2019
Venue: Securities Commission Malaysia
Accreditation: SIDC CPE Eligible

‘The global big data market is forecasted to increase to USD 96 billion by 2026.’ Statista 2018

With the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The financial services industry is no exception to this trend, where Big Data has found a host of applications ranging from targeted marketing and credit scoring to usage-based insurance, data-driven trading, fraud detection and beyond. Recognising this, the Malaysian government expects the digital economy to form 20% of Malaysia’s GDP by 2020.
Capital market infrastructure could also face major changes in the coming years as the industry moves towards more cloud-based solutions and high-quality structured data and automated reporting. Various new forms of technology such as artificial intelligence, robotic process automation and machine learning will be heavily incorporated as the industry begins to adopt more innovative solutions.
This programme will highlight the latest trends and applications related to Big Data as the scope has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyse large and variable collections of data, to solve complex problems.

  • Programme Delivery

    Programme Objective

    This programme aims to assess transformations in the Big Data space in order to adapt and improve business processes within organisations.

    Learning Outcomes

    By the end of this programme, participants will be able to:
    • explain the latest trends and transformations in Big Data locally and globally
    • describe the emergence of new technologies impacting financial services
    • discuss human capital challenges to cater to the growth of Big Data
    • assess capital market strategies related to capital markets in terms of Big Data analytics

    Target Audience

    Dealers, trading representatives, compliance, risk management Officers, fund managers, analysts, employees of PLCs, academicians, university students and employees impacted by Big Data
    Investment Banks, stockbroking companies, futures and options companies, fund management companies, PLCs, consultants

    Functional/Technical Skills - Digital Technology Application
    Foundational/Product – Capital Market Environment
    Behavioural/Organisation Leadership – Strategic Thinking
  • Programme Outline

    8.30 am Registration
    9.00 am
    Big Data in 2019
    • Global big data market
    • Which sectors will lead in big data? (banking, financial services and insurance; manufacturing; government; professional services)
    • Malaysia’s big data journey
      • Big data market (i.e. CAGR, fastest growth - banking)
      • Focus areas (making strategic decisions)
      • Big data adoption by start-ups
    10.15 am Coffee Break
    10.30 am Financial Services Empowered by AI  (Case Study)
    • Changing the way to attract and retain customers
    • Front and back office operations
    • AI customer service offerings – From credit decisions to investment advice
    • Reshaping the business model of financial services
    Improving Data Accuracy with Robotic Process Automation (RPA)
    • RPA and data management – A compelling combination
    • Large data sets that benefit from RPA
    • RPA and machine learning
    • Mining RPA logs – important for process optimisation, regulatory compliance, etc)
    1.00 pm Lunch
    2.00 pm Data Experts in Demand
    • Beyond the tech sector
    • Catering to market demand
    • Talent crunch in Malaysia – Public Private Partnership
    3.15 am Coffee Break
    3.30 pm Big Data and Capital Market Strategies
    • The analytics capacity
    • ROI from data analytics
    • Specific market growth drivers
    • Pitfalls and strategies
    5.00 pm End of Programme
  • Programme Fees

    Normal Price
    RM 950