Data Management

The services

Our data management services help organisations effectively identify and manage their data assets in a way that builds trust. Our services are focused on addressing data problems that are closely related to cyber security and privacy issues. 

We work alongside you to develop and implement data management techniques, including:

• Management of unstructured data repositories and the access to them - both by individuals and AI-driven tools like Copilot for M365
• Data discovery and information sensitivity mapping exercises
• Information classification schemes and policies
• Information handling and access control procedures
• Data privacy and protection measures
• Data retention and disposal policies

We also assist in implementing technological solutions to support these strategies, such as data discovery and classification tools, data loss prevention (DLP) systems, and data archiving and backup systems. 

The problems we help address

Our data management services address the challenges of identifying and protecting diverse sets of data in complex organisational environments. They help:

• Reduce the likelihood of data-related risks, including data breaches and non-compliance
• Reduce the impact of breaches through data minimisation
• Increase the speed to respond and identify impact should a breach occur
• Protect sensitive and confidential information
• Reduce costs and risks by eliminating redundant or obsolete data
• Build trust with customers and partners through responsible data handling

The difference we strive for

Germane Advisory's approach to Data Management is both multi-disciplinary and pragmatic. Our multi-disciplinary team brings insights from related fields, ensuring that your data management strategy aligns with broader business objectives and leverages cutting-edge technologies responsibly. We're pragmatic in our approach, recognising that perfect data management is often unrealistic given the usability and cost constraints organisations must contend with. 

We focus on identifying and prioritising the most critical data assets and processes, to help extract the maximum value from your data management efforts. Our future-focused mindset helps you prepare for emerging data challenges and opportunities, such as AI and retrieval-augmented generation techniques that access your data.

Our people-centric approach recognises that successful data management is as much about culture and processes as it is about technology. We consider how data aids people in fulfilling their roles and design data protection solutions with that in mind. We are also cognisant of the workarounds and unintended outcomes that can arise where changes aren’t made in concert with a workforce.