Have you established
or integrated a risk-based data analytics governance framework in your
organisation?
With the
advancement of technologies and the maturity and skills of the profession
rapidly rising, data analytics is now a necessity for efficient and effective
internal audit delivery.
As internal
audit leaders, establishing effective data analytics governance and capability
within your internal audit function is a must. This training is for internal audit
leaders and management of internal audit and risk management functions that have
been tasked with integrating a risk-based data analytics governance framework as
part of their function.
Learning
Outcomes
The training
will aim to provide internal audit leaders with:
·
A practical understanding of risk-based
data analytics and data governance.
·
Insight into the levers that support
effective integration of data analytics as part of the internal audit governance
framework.
·
The relationships between the Data
Lifecycle, the Data Analytics Process and Data Mining.
·
Critical success factors for you to
consider when establishing a risk-based data analytics framework into your
internal audit function.
·
Detailed understand of the end-to-end Data
Analytics process – from Research and Design through Testing and
Deployment.
·
Necessary information to hold internal
audit and other related service providers accountable with respect to designing,
developing and integrating risk-based analytics
capabilities.
·
The capacity to
better support their organisation achieve operational, tactical and strategic
objectives through the use of data analytics capabilities and
technologies.
Presenter: Theo Conias CPA PMIIA CIA FGIA,
Director, Axiar Pty Ltd.
Theo
is a governance, risk management, controls and data analytics
expert.
He has
had extensive experience in providing data analytics services to a broad range
of public and private sector clients, including small and medium size privates;
local councils; state and federal governments; not for profits; publicly listed
entities; ATSI organisations; and others.
Through
his experience, Theo has developed a database of descriptive, diagnostic,
predictive and prescriptive analytic procedures that are performed on all types
of quantitative, qualitative, structured and unstructured data sources. Each of
these procedures is adapted, modified and aligned to the context and purpose of
each client – with no shortcuts – to ensure the best possible outcomes and
insights are gained.