Eliminate up to 40% of time spent on non-value adding tasks with a single source of truth
Maximise ROI of data-intensive projects by having complete metadata and lineage
Mitigate risk effectively across privacy, security and data investments
Data & AI Governance Framework
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. Mantel Group’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
Mantel Group’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, Mantel Group’s experts ensure access is governed appropriately so enterprise data is secure and analytics use cases continue to run smoothly.
”Mantel Group helped to establish a data management and governance function in a short amount of time, and their practical approach and delivery experience meant that they were able to operate as a seamless part of the broader team. This function has helped us set clear data management, privacy and security controls while launching our data platform. Practically, these approaches have helped us to build and share data products in a matter of weeks, not months.John VerranHead of Data & Analytics | (OnePass), Wesfarmers OneDigital