Super Early Bird Fee
Register and Pay
by 25 Sep ’20
Early Bird Fee
Register and Pay
by 23 Oct ’20
Regular Fee
Register and Pay
after 23 Oct ’20
$545 (USD) $595 (USD) $745 (USD)

 

Super Early Bird Fee
Register and Pay
by 25 Sep ’20
Early Bird Fee
Register and Pay
by 23 Oct ’20
Regular Fee
Register and Pay
after 23 Oct ’20
Non Singapore-registered companies $695 (SGD) $795 (SGD) $995 (SGD)
Singapore-registered companies (fees include 7% GST) $743.65 (SGD) $850.65 (SGD) $1,064.65 (SGD)

 

Group Discount!
Enjoy 10% off when you register for 3 or more OR
Register for 5 for the price of 4

IMPORTANT NOTES
  1. Super Early Bird & 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 access to the virtual workshop.
  6. Fee includes event documentation limited to presentation slides only.
  7. The organiser reserves the right to make any amendments that it deems to be in the interest of the event without any notice.
  8. Information provided will be used for event administration and updates on upcoming events. For more details, please visit: http://www.conferences.com.sg/personal-data-protection-statement/

CANCELLATION & REPLACEMENT

A replacement is allowed if registered participants are unable to participate in the live webinar. For cancellations received in writing before 23 Oct 2020, a full refund will be given with a 10% administrative charge. For cancellations received in writing before 2 Nov 2020, a 50% refund will be given together with the event documentation. There will be no refunds for cancellations received after 2 Nov 2020 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.

Provide Deeper Analytical Insights, Produce High Quality Audits
Covid-19 has presented businesses with not only new opportunities, but also new risks where making the right decision at the right time has never been more important. Rising stakeholder expectations, stricter regulations and an increasingly complex business landscape – internal auditors are under greater pressure to generate new valuable insights and robust audits using data analytics.

By embedding analytics in every phase of the audit process, Internal Audit (IA) can help businesses navigate a world that has become vastly more volatile and uncertain. The challenge for IA remains in the need to rewrite the rulebook on traditional auditing techniques and shift towards insights-driven auditing.

Acquire a Step-by-Step Approach to use Data Analytics to Perform Audits
Join this interactive 3-day live broadcast to acquire critical skillsets and tools to effectively leverage data analytics in the audit lifecycle. Learn how to use data analytics to enrich the risk assessment process, support planning and scoping decisions. Overcome common challenges in data extraction and discover how to incorporate data analytics in fieldwork including designing data analytical tests. Examine how common analytics tools, advanced analytics and emerging technologies are used for audit. Find out how to create impact in your audit reports with analytics and visualisation.


A Fully Immersive Virtual Workshop Experience

  • v-icon-01 v-icon-02 v-icon-03 v-icon-04 v-icon-05
     Hear LIVE presentation on leading case studies and common challenges  Get real-time answers to your questions throughout the workshop  Interact with like-minded professionals for dynamic exchange of ideas In-depth sharing during
    1-hour intimate group discussion on Day 3
     Gain access to full workshop materials and handout

     

    Programme Highlights 

    How Data is Transforming Internal Audit (IA)
    The driver and role of data analytics in recent years and megatrends

    Planning and Risk Assessment
    Using data analytics to enrichen the risk assessment process, support planning and scoping decisions

    Data Extraction and Common Pitfalls
    Efficiently extract data especially sensitive data sets, overcoming extraction difficulties

    Data Analytics in Fieldwork and Analytical Tools
    Design data analytical tests for fraud detection, adopt common tools (Qliksense, Power BI, ACL and more)

    Advanced Analytics and Emerging Technology
    Emerging technology to look out for, how to optimise advanced analytics in IA

    Reporting Audit with Data Analytics
    Enrich and create impact in your audit reports through data analytics

    Organisational Structure
    Key components of a strategy to embed data analytics within the IA function

    Live Demonstration of Analytic Tools & Techniques
    Using mock sample data, the workshop leaders will demonstrate how to use data analytics tools to ensure data quality, detect fraud and outliers, test internal controls and perform visual analytics. There will be real-life application and live demonstration.

     

    Benefits of Attending

    • Examine the data analytics maturity continuum within the audit lifecycle
    • Grasp how to efficiently select areas in your audit lifecycle to apply analytics
    • Bridge the gap between data in ERP reports and data extracted by the IT team
    • Find out the key phases in using data analytics as part of fieldwork
    • Identify the different technology components that make up an infrastructure layer
    • Weigh the pros and cons of tools including ACL, Qlikview, Qliksense, Power BI, Alteryx, SQL
    • Discover how advanced analytics such as clustering is employed in internal audit
    • Acquire analytical and statistical techniques to identify anomalies and fraud
    • Uncover how to use visualisation to enhance the progress and tracking of your audit plan
    • Adopt the optimum people model when embedding analytics in your IA function
    • Asses how to derive insights from a dashboard that satisfies audience needs
    • Practice using Excel, Power Pivot, Power Query and data visualisation tools
 

Workshop Leaders

Ren Hao Tan

Senior Manager, Data & Analytics,

PwC Singapore

IA21-pwc

 

Ren Hao has more than 8 years of experience in implementing data and analytics initiatives across both external and internal audit, where the focus area is to utilise effective audit techniques to drive audit efficiency.

 

He has worked across London, Singapore and Kuala Lumpur, where he has observed differing data and analytics maturity levels across organisations. This has enabled him to experience multiple first-time initiatives in using data techniques for the audit, ranging from clients in telecommunications, transport and utilities.

 

Ren Hao is an experienced trainer, his highest achievement has been to be selected as one of the Top 15 Tutor in PwC UK nationally in 2017.

Shermin Tan

Manager, Data & Analytics,

PwC Singapore

IA21-pwc

 

Shermin is a Manager in PwC Singapore Risk Assurance – Data Trust Services practise. She has more than 6 years of experience across both Singapore and Myanmar office. She specialises in the Business Intelligence, covering a wide spectrum of client business uses cases, namely:
• Revenue Assurance for Telecommunication and Logistics clients through Data Analytics
• Data Automation of Accounts Receivable process
• Dashboard visualisation projects covering Payroll analytics, Cyber Security Maturity reporting, Business Continuity Monitoring, Fraud Control Monitoring, etc.

Who Should Attend

Mid-senior level executives responsible for Internal Audit, Finance, Risk Management, Fraud Management

 

Workshop Agenda

  • Log-in Time: 8.50 am
    Day 1-2: 9.00 am – 1.00 pm(There will be short breaks allocated at appropriate intervals.)
    Day 3: Intimate group discussion between 9.00am – 1.00pm*
    *Time stated in local Singapore time.

     

    There are 2 components to this virtual workshop:

    • Understanding objectives and theory, which will be enriched with case studies from financial services, hospitality and government industries
    • Live demonstrations on the different data analytic tools and techniques
  • Day 01 & 02

    Session 1: How Data is Transforming Internal Audit (IA)

    • The driver and role of data analytics in recent years and megatrends
    • Examining the data analytics maturity continuum
    • How data analytics can transform all parts of the audit lifecycle
  • Session 2: Planning and Risk Assessment

    • How data analytics can be used to enrichen the risk assessment process, support planning and scoping decisions
    • How to effectively and efficiently select areas of your audit lifecycle to apply analytics
  • Session 3: Data Extraction and Common Pitfalls

    • How to bridge the gap between data seen in ERP reports and the data IT teams extract from the database
    • How to efficiently extract data especially sensitive data sets
    • Common difficulties faced in data extraction and how to overcome them
  • Session 4: Data Analytics in Fieldwork

    • Key phases in using data analytics as part of fieldwork
    • Live Demonstration: Designing data analytical tests
    • Data analytics tests that can support fraud detection
  • Session 5: Tools

    • Common tools (e.g. ACL, Qliksense, Power BI, Alteryx, SQL, etc.) that are used to execute data analytics for audit functions
    • Different technology components that make up an infrastructure layer for analytics
  • Session 6: Advanced Analytics and Emerging Technology

    • Use of advanced analytics such as clustering and its use in IA
    • Different types of analytical techniques commonly applied
    • Statistical techniques that can support identifying anomalies
    • Other emerging technologies to look out for
  • Session 7: Reporting

    • Enrich and create impact in your audit reports through data analytics
    • How analytics and visualisation can enhance the progress, monitoring and tracking of your audit plan
  • Session 8: Organisational Structure

    • How the value of IA increases through the use of data and analytics
    • Key components of a strategy to embed data analytics within the IA function
    • Analysing the optimum people model for IA functions
  • Live Demonstration of Analytic Tools & Techniques

    Sessions 9 and 10 will consist of real-life application and live demonstration. Using mock sample data, the workshop leaders will demonstrate how to use data analytics tools to ensure data quality, detect fraud and outliers, test internal controls and perform visual analytics.

  • Session 9: Live Demo Using Data Analytics

    • Data cleaning and validation using Excel formula and functions
    • How to validate data quality
    • Using Power Pivot and Power Query to analyse large sets of data or automate procedures
    • How to detect outliers, potential fraudulent transactions and attest to internal controls using data analytics
  • Session 10: Live Demo Using Data Visualisation

    • How to use a data visualisation tool to perform visual analytics
    • How to build charts in a visualisation tool
    • How to derive insights from a dashboard in a way that it satisfies the audience needs
  • Day 03

    There will be 1-hour intimate group discussion with the workshop leaders on Day 3. This in-depth and interactive discussion session will provide delegates the opportunity to ask questions from the content covered in the preceding days or focus on specific data analytics for audit questions/challenges from their own organisation. More details will be given nearer to the date.