The rapid expansion of digital technologies means businesses are generating and handling vast amounts of data. This makes secure data management more important than ever. However, according to the 2024 Konica Minolta Australian IT Trends: Driving Digital Transformation Report , 27 per cent of organisations are unsatisfied with their IT infrastructure, indicating a clear need for better alignment between technology solutions and operational goals. At the same time, 68 per cent of C-suite executives identify improving operational efficiency and risk mitigation as their top priorities. This underscores the importance of adopting best-practice information architecture to create a secure, efficient data environment that aligns with business objectives.
Securing data through operational change
Information architecture structures share information environments. A well-structured information architecture makes data accessible, organised, and protected, enhancing operational efficiency and mitigating risks. This approach strengthens an organisation’s ability to safeguard sensitive information and reduce the risk of accidental data breaches and other security threats through strategic governance and information protocols.
There are three key steps to achieve best practice information architecture:
1. Make data accessible with controlled permissions and visibility
To make data truly accessible, permission settings must be tailored so that authorised personnel have swift access to the information they need, while unauthorised access is prevented. Businesses should implement robust visibility controls to monitor how data is accessed and used, ensuring full transparency and facilitating the quick detection of any unusual activity. Making data access both secure and easy to manage means organisations can boost operational efficiency and protect sensitive information from misuse.
2. Organise data with lifecycle management and disposal
Organising data through effective lifecycle management ensures information is handled properly from creation to disposal. This approach lets businesses maintain well-structured information environments where outdated or unnecessary data is disposed of securely, and critical information remains accessible for as long as it’s needed. This both reduces data clutter and minimises risks, such as storing outdated or irrelevant data that may be vulnerable to breaches or mishandling of information. Structured data environments help teams quickly locate vital information, improving productivity and compliance.
3. Protect data with automation and risk mitigation strategies
Automation technologies play a crucial role in protecting data by minimising human error and enforcing data governance protocols. Automating routine data handling tasks reduces the risk of mistakes that often lead to security breaches. Embedding risk mitigation strategies into the system at the same time, such as regular audits, data encryption, and real-time monitoring, ensures that potential threats are detected and addressed before they escalate. This dual approach of automation and proactive risk management strengthens data protection efforts while enhancing operational efficiency.
Leverage technology to secure your data governance
Technology is a critical enabler of strong data governance and compliance. Konica Minolta’s Intelligent Information Management (IIM) practice provides solutions that enhance data handling through secure lifecycle management, disposal, and automated processes. With the right technologies in place, businesses can strengthen their information architecture and meet evolving security and efficiency requirements, backed by Konica Minolta’s renowned customer service and support.
For more information, download the 2024 Konica Minolta Australian IT Trends: Driving Digital Transformation Report or contact Konica Minolta Australia today to transform your organisation’s information management.
