Information and Data Lifecycle Workshop

Description

Knowing what data and personal information your organisation is collecting, where it is stored, how it is secured and protected, and that it is disposed of when no longer required for regulatory or business purposes, are ongoing challenges for organisations.

Information lifecycle management (ILM) is an essential component of robust Information Governance.  It aligns the business value of information and privacy compliance requirements with the most appropriate and cost-effective IT infrastructure – from creation to deletion. It tackles many of the problems that challenge records management, eDiscovery, privacy compliance, storage optimisation and data migration initiatives.

An effective ILM program offers significant ongoing and long-term benefits, minimising risks and costs for an organisation.

Participating in this workshop will enable you to explain the purpose of ILM and its value to your organisation; gain a better understanding of the key components of an effective ILM strategy; and consider how to work with internal stakeholders to implement or improve ILM in your own organisation.

In the ILM Workshop you will learn:

• The purpose and value of information lifecycle management (ILM) to your organisation
• How ILM connects with other information and data elements with the IG framework
• Identifying the key components and what it takes to have an effective ILM strategy
• Tackling over-retention of data and embedding data minimisation
• How to implement and improve ILM in your organisation

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Workshop Details

All participants will receive a copy of The Information Governance Primer.

The class size will be strictly limited to ensure maximum participation for attendees.

Facilitated by: Susan Bennett – Executive Director of InfoGovANZ

CPD Units: 3

Enquiries: infogovanz@infogovanz.com

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What participants have said

“The most helpful areas of the ILM workshop were the different components of ILM and practical examples from broad industry base.”

“The ILM workshop was well presented and convened with valuable discussion topics.”

“The interaction between the presenter and participants made the ILM workshop enjoyable and made me pay attention.”

“The ILM workshop was well coordinated and covered good material. It was a great session and well presented.”

 

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Workshop Facilitator

Dr Susan Bennett
PhD, LLM(Hons), MBA, FGIA, FIP, CIPP/E, CIPT

Susan Bennett is Principal of Sibenco Legal & Advisory and Founder and Executive Director of Information Governance ANZ. Susan’s focus is driving best practice holistic governance solutions aligning data, information, privacy and records with technology and regulatory compliance to achieve organisational goals.  Susan’s PhD thesis was titled: Privacy and Data Protection: the interaction of meta-regulation and information governance, the findings are intended as a practical governance solution to assist organisations in achieving data and privacy meta-regulatory requirements, while pursuing strategic organisational objectives.

With thirty years of experience as a lawyer and advisor, Susan helps organisations grappling with the risks and challenges of regulatory compliance arising from using technology (including AI) with growing volumes of data and, particularly, personal data.   Susan delivers practical and responsive solutions to assist organisations across the following interconnected areas:

• Corporate Governance in the AI and Information Age: Integrated risk management and governance frameworks, policies and procedures to improve information flows to the Board to achieve organisational objectives to reduce the risks arising from the use of new data-driven technologies, including AI, and evolving regulatory requirements, such as privacy, AI and ESG.
• Information and Technology (AI) Governance:  Developing and aligning best practice policies and processes into the overarching risk management framework to achieve improved regulatory compliance to improve risk management and reducing risks while enabling the strategic benefits of data-driven technologies to be maximised.
• Data and Information Lifecycle Management: Improving data lifecycle management through policy, people and technology alignment of data collection, management, record retention and, importantly, disposal of data that is no longer required to be retained.  This requires robust information governance led from the board down, the alignment of policies and processes across the organisational silos for effective information lifecycle management. improved data quality for decision-making throughout the organisation and up to and including risk and audit committees and the Board.
• Privacy and PIA/DPIA: Policies and procedures to comply with privacy requirements, privacy impact assessments, including ethical AI (PIA/DPIAs), privacy-by-design, critical incident planning and data breach response.

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