Azure Open AI PoV To Streamline SEO and Content Management For A Legal Organisation
What We Achieved In 4 Weeks
Targeted Content Creation
Better understanding of user patterns allows the legal organisation to tailor content effectively, boosting relevancy and engagement.
Automated Content Management
Implementing AI-based categorisation reduces manual work, increasing efficiency, accuracy and freeing up time for more high value tasks.
Accelerated Insights and Decision Making
Enhanced insights allow the legal organisation to make faster, data-driven decisions leading to more responsive and effective content strategies.
The Challenge
A legal organisation in NSW was facing difficulties in managing its digital content, impacting both user engagement and operational efficiency. As a leading professional body, their publication serves as a key resource for legal professionals, providing news, insights and updates. However, the increasing volume of content and a rapidly growing user base exposed several pain points:
- User Engagement Uncertainty: Difficulty in identifying underperforming articles, which hindered the optimisation of content creation.
- Manual Taxonomy Management: The process of categorising content was time-intensive and lacked automation, leading to inefficiencies.
- Limited Data-Driven Insights: The existing system was slow in providing insights on user behaviour, impacting the decision-making process.
- Inefficient Content Targeting: A lack of understanding of user patterns resulted in limited efforts to target content effectively for improved engagement.
The Solution
TL Consulting delivered a comprehensive Proof-of-Value project for the legal organisation, following Microsoft’s Azure standards to address these critical issues. The solution included:
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- Advanced Analytics: Utilised Azure Data Factory for streamlined Extract, Transform, Load (ETL) processes, enhancing user insights through integrated SQL layers and Azure App Services. This allowed for real-time data analysis and improved visibility into user engagement metrics.
- AI-Powered Content Categorisation: Implemented an automated content tagging system using Azure OpenAI. This solution integrated directly into the legal organisation’s WordPress platform, replacing manual taxonomy management with AI-based automation to enhance accuracy, efficiency and SEO.
- Enhanced Security and Performance: Strengthened data access protocols with Azure Authentication and optimised SQL query performance to ensure secure, fast and reliable analytics.
- Scalable Infrastructure: Built a scalable architecture using Azure’s modular SQL Database layers, allowing for seamless expansion as the user base and content volume continues to grow.
The Outcomes
- Targeted Content Creation: Gained a deeper understanding of user patterns, enabling the team to create tailored content that better aligns with audience interests, leading to higher engagement rates.
- Optimised Content Management: Automated categorisation reduced the need for manual effort, freeing up editorial staff to focus on strategic content initiatives and improving overall workflow efficiency.
- Enhanced Insights and Faster Decision Making: Real-time analytics allowed the legal organisation to quickly identify trends and make data-driven decisions, enhancing the effectiveness of content strategies and improving responsiveness.
- Improved Content Tracking and Performance Monitoring: The new dashboard provided clear visibility into underperforming articles, allowing the team to take swift corrective actions and optimise content effectively.
- Future-Proof Scalability: The scalable infrastructure ensures the solution can accommodate future growth, supporting an increasing volume of content and a growing user base without compromising performance.
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