Data Governance
Eliminate up to 40% of time spent on non-value adding tasks with a single source of truth and clear roles and responsibilities
Maximise ROI of data-intensive projects by having complete metadata and lineage
Mitigate risk effectively across privacy, security and data investments
What we offer
Data & AI Governance Framework – Craft & Launch
Data Quality, Metadata & Master Data Management
Data & AI Readiness Assessment
Adversarial AI Readiness & Implementation
Ethics frameworks & Ethical AI
Data Management Tool Selection & Rollouts
Security & Regulatory Compliance
What we offer
In short, what we do
Organisations can maximise data value, mitigate risk and safeguard their data through proper data management. Data governance works best when it’s tailored to your needs so you can innovate and deliver successful initiatives while staying safe, ethical, and compliant.
In addition to improving data quality, data governance greatly reduces data management costs and helps (correctly) democratise your data as the ultimate goal of data governance is to break down data silos and build a holistic enterprise view of data. With the advent of AI and ML models it is all the more important to establish an effective data governance program to ensure that information and data are used accurately, consistently and ethically. We can help you establish and mature the governance around data and AI.
Let's get into the detail
Getting data management right can dramatically improve data quality, greatly reduces costs and helps (correctly) democratise your data. A well-designed data governance framework ensures data and information are used consistently and correctly by everyone in the organisation. This helps build trust in the data which is a foundational component to enable and embark on AI and ML capabilities
Data governance assists the organisation by having clear roles and responsibilities in streamlining communication and establish accountability for data including ML models.. It also enables all data activities to be carried out efficiently throughout the data lifecycle.
Leveraging data management best practices, we help our clients maximise the value of their data by proactively optimising their data management practices while ensuring it stays in line with business visions and goals. Data governance helps optimise and elevate all aspects of the data lifecycle, across both BAU and projects.
Key thing to remember - “Don’t let data governance be an afterthought”
We help our clients from understanding their current state, to designing a customised governance solution which is fit for their organisations needs and enables a foundation for advanced analytics and AI capabilities. There is no ‘one size fits all solution’, however by leveraging our hands-on experience in industry and our deep data management expertise, we are confident we can ensure our recommendations are practical and future proof.
What we do
Our data management experts have extensive practical experiences across various data activities within the data lifecycle, as outlined below. We are well acquainted with the Data Management Association (DAMA) Body of Knowledge (DMBOK) and use it extensively as our guide based on client’s alignment.
Data & AI Governance Framework - Craft and Launch
We craft and help you launch a holistic yet practical data governance framework across executive, management and operational levels, ensuring consistent and high quality data that is crucial for enabling advanced analytics and AI. Eliiza’s experts have practical experience and have had successes not only in building practical and modern frameworks, but also in effectively socialising and implementing the framework.
Data Quality, Metadata and Master data management
These are the most important pillars for managing and governing organisational data. A structured approach and strategies to uplift data quality, manage master data and embed metadata (data about data) are key for organisations to move towards using AI/ML. There are huge benefits to be realised across the enterprise (not just projects) when they are done properly and our experts can show you how.
Data & AI Readiness Assessment
Eliiza’s data management experts understand there is no “one size fits all” solution to data & AI governance, so we always aim to understand your position first. We have robust and tested methodologies and frameworks that can quickly assess our client’s readiness in pursuing your data journey towards AI.
Adversarial AI Readiness and Implementation
Adversarial AI is a set of techniques used to deceive AI systems by exploiting vulnerabilities in the AI model. The impact is costly as the systems can be tricked into making erroneous decisions that favour the attacker’s motives. Most companies do not consider the potential damage and therefore do not implement any strategies to account for Adversarial AI attacks. Our experienced consultants assist our clients in examining the readiness to mitigate these unique risks and assist our clients to secure ML models from adversarial attacks.
Ethics frameworks and ethical AI
Biases can potentially derail or fail a multi-year / multi-million-dollars analytics projects so it is important to stay regulatory-compliant while performing continuous ethical audits throughout the enterprise data lifecycle. Our experts possess both theoretical knowledge and practical experience in this space.
Data Management Tool Selection and Rollouts
Technology has grown in leaps and bounds especially with the advancements in the Big data landscape. Our clients are often confused about the myriad of options available in the market to uplift their data management capabilities, so they seek our advice. Our experienced consultants and technical specialists assist our clients in selecting tools that are fit for purpose, future proof and help them in rolling out the same.
Security and Regulatory Compliance
Our experts have first hand experience in working with various regulators (e.g. APRA) in staying compliant (e.g. CPG 235, CPS 234).
Data is an enterprise asset and should be secured while being democratised enough for various data citizens to do their jobs. Through various engagements and partnerships with leading vendors, Eliiza’s experts ensure access is governed appropriately so enterprise data is secure and analytics use cases continue to run smoothly.
Happy clients
Meet the Data Governance team
Edwin Kurniawan
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Lead Data Consultant -
Melbourne
Edwin Kurniawan
Lead Data Consultant
Ankita Nandwani
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Data Consultant
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Christchurch, New Zealand
Ankita Nandwani
Data Consultant
Ramya Mokshagundam
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Senior Data Consultant
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Sydney
Ramya Mokshagundam
Senior Data Consultant
Venkat Valappady
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Principal Data Consultant
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Melbourne
Venkat Valappady
Principal Data Consultant
Thomas Maas
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Head of Data and Analytics
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Melbourne
Thomas Maas
Head of Data and Analytics
Christina Evans
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Senior Data Consultant
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Melbourne
Christina Evans
Senior Data Consultant
Emma Fitzsimons
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Senior Data Consultant
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Brisbane
Emma Fitzsimons
Senior Data Consultant