Big Data for Big Decisions
Dates: 12 March 2020
Venue: Securities Commission Malaysia
The global big data market is projected to increase to USD96 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 projected the digital economy to form 20% of Malaysia’s GDP by 2020.
In light of this development, 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 in relation to Big Data as the scope has significantly expanded over the years. Big Data not only refers to the data itself but also various technologies that capture, store, manage and analyse large and variable collections of data in order to solve complex problems.
This programme is designed to provide the latest trends and developments on how Big Data could be leveraged in creating new services, future products and customer experience to drive business growth.
By the end of this programme, participants will be able to:
- analyse the impact of Big Data trends and developments in recent business landscape
- distinguish between good and bad analytics in ensuring good data governance practices
- explain how data and analytics could be utilized to drive successful business outcomes
- describe the challenges in preparing for the right talent to cater to the growth of Big Data
- explain how data is analysed using machine learning and artificial intelligence to stay ahead of a rapidly changing marketplace
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) - Digital Technology Application (Level 3)
Foundational (Product) – Capital Market Environment (Level 3)
Behavioural (Organisation Leadership) – Strategic Thinking (Level 3)
|Top Trends and Future of Big Data
- The latest trends and technologies in data analytics ecosystem
- The impact of big data in business – Innovation to impact
- How big data is reshaping the society
Big Data Governance
- Who owns the data?
- Board Roles
- C-Suite Roles
- Best Practices in Data Governance
- Review of the Use Cases Compared to the Governance Issues
|Transforming the Financial Services Industry with Data Analytics
- How data analytics disrupt the way business is conducted in the capital market
- Use of Advanced Analytics as decision-making tools
- Financial Technology (FinTech) innovations and challenges around big data
- Case Studies: Customer Segmentation and Fraud Prediction
|Why (Big) Data Analytics Project Fail?
- Why analytics project fail?
- Key success criteria in data analytics and business intelligence projects
- Getting ready for successful analytics projects
|Big Data Takeaways
- Big Data is more than Data
- How to avoid big data promises as a scam – make it real!
- Lessons learned from Big Data in your organisation
- What’s next?
- Opportunities in machine learning
- How AI can augment decision-making in capital markets
- Recent career outlook and talent capacity in newly created jobs
||End of Programme
*Fee is not inclusive of 6% SST