Super Early Bird Fee
Register and Pay
by 20 Sep ’19
Early Bird Fee
Register and Pay
by 18 Oct ’19
Regular Fee
Register and Pay
after 18 Oct ’19
Singapore-registered companies (fees include 7% GST) $1,706.65 (SGD) $1,813.65 (SGD) $1,920.65 (SGD)
Non Singapore-registered companies $1,595 (SGD) $1,695 (SGD) $1,795 (SGD)


Group Discount!
Enjoy 10% off when you register for 3 or more OR
For groups of 3, 4th comes for free

  1. Super Early Bird and Early Bird promotion: Discount will only be valid if payment is received by the stipulated date.
  2. Group discount only applies to registrations from the same company, attending the same event in the same country location. Delegates must register at the same time and be of the same billing source. Only a single invoice will be issued.
  3. Only corporate registrations will be accepted.
  4. Bank charges & taxes are to be borne by registrants, if applicable.
  5. Full payment is mandatory upon registration for admission to the event.
  6. Walk-in delegates will only be admitted on the basis of space availability at the event and with immediate full payment.
  7. Fee includes lunch, refreshments and event documentation.
  8. The organiser reserves the right to make any amendments that it deems to be in the interest of the event without any notice.
  9. Information provided will be used for event administration and updates on upcoming events. For more details, please visit:


A replacement is allowed if registered participants are unable to attend. For cancellations received in writing before 18 Oct 2019, a full refund will be given with a 10% administrative charge. For cancellations received in writing before 31 Oct 2019, a 50% refund will be given together with the event documentation. There will be no refunds for cancellations received after 31 Oct 2019 or “no show” participants. However participants will receive a copy of the event documentation.

In the event of a cancellation, a refund will be made via the original mode of payment and based on the original amount we received. Refund is made based on the prevailing exchange rate and Pacific Conferences shall not be responsible for any foreign exchange currency losses.

Identify, Measure and Predict Risks from Data –Driven Insights

Big data is changing the way businesses are run today. With today’s global state of play between data, rising stakeholder expectations and evolving risk profiles, risk executives are expected to leverage onto continuous data-driven insights to better identify, evaluate and prioritize risk profiles.

Do you know how to select the cost-effective analytics tools?
Can you ensure data quality, reliability and integrity?
Are you aware of the implementation pitfalls & mitigation measures?

Align your Data from Ground Up for Effective Risk Management

Join this 2-day practical workshop to kick start your analytics journey in risk management. Understand how to identify, view, understand and manage risks with data-driven insights to back critical business decisions. Pick up data governance and lifecycle frameworks- collect the right data and ensure data quality, integrity and reliability. Understand the risks and pitfalls to avoid when embarking on your analytics journey. Choose the right analytics tool to provide descriptive trend-based analytical insights in reports to value-add stakeholders.

Unique Features

    • Case studies across industries
    • Industry benchmark using assessments on Data Maturity, Data Impact & more
    • Risk & Benefits Analysis of top free & paid analytics tools
    • Lessons learnt from risk analytics implementation journeys
    • Half-day hands-on session on implementing analytics

Benefits of Attending

  • Examine high level drivers for businesses to adopt best in-breed analytics
  • Realize various key risks to organizations with a Data Maturity Assessment
  • Pick up practical steps on how to identify and collect the right type of data
  • Learn how data management underpin business processes and effectiveness
  • Ensure data quality, reliability & integrity through Data Management Lifecycle
  • Explore best practices on tools used for a sound Data Governance program
  • Hear key considerations and benefits of using various core types of analytics
  • Identify & mitigate both unknown and known risks when implementing analytics
  • Evaluate which analytics tool is best suited for your organisation’s needs
  • Gain insights on top free & paid analytics tools such as SQL, Power BI & more
  • Adopt effective tips on using dashboards, reporting formats & data visualisations
  • Embark on your risk analytics journey with effective change methodologies
  • Practice using tools and methods to identify, support & implement analytics capability

Workshop Leader

Simon Temby

Director – Risk Analytics,

Deloitte Touche Tohmatsu Australia

Simon specialises in analytics data governance and ITIL. With roots in governance, root cause analysis and management, Simon has a broad range of analytics and data skills sets.


Simon has led multiple analytics and data engagements, in both private and public sectors across a range of industries from Defence to Agriculture. His focus has been in analytics and data management to aid organisations in best practice governance and implementation, setting business users up for success and providing longevity of solutions.


He also has a background is development, supported by his previous work as a software engineer working with C#, SQL and Python.

Who Should Attend

Senior level executives responsible for Risk Management, I.T Audit, Internal Audit



  • Registration: 8.30am • Workshop: 9.00am – 5.00pm
    Morning, afternoon refreshments & lunch will be served at appropriate intervals.

  • Session 1: Global State of Play

    Understanding globally the current picture of Data and Analytics, its foundations and how ready you, your team or organisation are to transform business and move towards data driven outcomes.
    Current Global trends in data and analytics

    • High level drivers for organisations to adopt best-in-breed analytics
    • Self-Assessed Data Maturity Assessment
    • Discussion on outcomes and key risks to organisations
  • Session 2: Data and its Importance

    Underpinning organisations effectiveness in the use of data for outcomes requires an understanding of data and its importance.

    • What is data and how do we identify it
    • How to understand its importance
    • EXERCISE – Data impact assessment
    • How business processes are integral to data
  • Session 3: Data Governance and Lifecycle

    To ensure data is right from the ground up, aligned to global standards and frameworks

    • What is a Data Management Lifecycle (quality, reliability and integrity)?
    • EXERCISE – Data Maturity Assessment, where does your team/organisation stand?
    • What is Data Governance?
    • How do I know what to use?
  • Session 4: Machine Learning or AI or RPA or...

    As advancements in analytics continue to increase in pace, understanding terminology and outcomes is integral to business outcomes.

    • What is AI?
    • Core types of Analytics (Predictive, Decision, Descriptive, Prescriptive)
    • How do I benefit from implementing each?
    • How do I understand what I should use or buy?
  • Session 5: Implementation Risk and Issues

    A large majority of ICT implementations run overtime and budget, due to varying factors, why and how can we try to prevent this from happening?

    • Know what business problem you are trying to solve
    • Understand your stakeholders (internal and external)
    • Identify all the risks and issues (unknowns and knowns)
    • Mitigate project risks and issues
  • Session 6: Analytics Tools (Trend Analysis and Risk Mitigation) - Freeware vs Paid

    The market is flooded with software and hardware to support analytics in varying degrees of complexity, cost and effectiveness. Understanding what these look like, what are some risks involved with their use and how ICT project can mitigate these.

    • Explanation of top 5 Free and Paid analytics tools
      • Tableau
      • Power BI
      • BluePrisim
      • SQL
      • Python (Final Day exercise – predictive analytics)
      • Azure Analytics Service
      • AWS Analytics
      • Google Analytics
    • Risk analysis of analytics tools
    • Implementation mitigations and recommendations

    EXERCISE – Business requirements definition for Analytics tools

  • Session 7: Analytics Dashboards (Visualisations and Reporting)

    Reporting is integral to understanding a business and their outcomes, but understanding when a report is needed versus wanted is key to ensuring correct performance metrics are measured.

    • What do organisations NEED to report on?
    • How to manage business needs versus wants?
    • Best in breed analytic reporting tools
    • What is needed to get value out of reports?

    EXERCISE – Does this report actually advise on my business and its outcomes?

  • Session 8: Organisational Management and Data's Influence

    Organisations often can overlook the value of organisational management and the importance of taking a team on a journey towards beneficial outcomes.

    • The importance of a vision
    • Communicating benefits of the change
    • Change methodologies
    • Top tips for effective change management
  • Session 9: HANDS ON EXERCISE – Journey to Implanting Data Analytics

    Using tools, methods and information from the session, we will go through how best to identify, support and implement an analytics capability.

    • What is the problem?
    • What issue/risks do we foresee?
    • Do we have the right data?
    • Is the organisation ready?
    • What tool should we use?