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Background

The client is a prestigious institution, consistently ranked among the top universities in Asia and globally. It offers a wide range of undergraduate and postgraduate programs across various disciplines, including arts, science, engineering, business, law, and medicine. The institution is also renowned for its significant research output and contributions to a diverse array of fields and disciplines.

Challenges

The client faced several challenges in its data management and analytics capabilities. It struggled with siloed systems, making it difficult to connect and share information between different departments and faculties. Additionally, there was a lack of effective policy enforcement and data management practices, leading to inconsistencies and limited trust in data across the university. This also meant that the client experienced delays in data collection, processing, and reporting, which hindered timely decision-making.

Solutions

To address these challenges, a comprehensive data strategy and roadmap were developed for the client's campus-wide data analytics implementation ranging from financial, HR, student-related data, and more. The first step involved evaluating the university's existing data landscape and identifying key challenges. We then designed the data model and architecture to facilitate integration, storage, processing, and visualization of data. Best practices for data governance, quality, and security were also recommended to ensure consistency and reliability. Finally, strategic assessments including a business case with a cost-benefit analysis were conducted to ensure sustainable value creation for future technology adoption.

Value created

Through our data strategy consultancy services, we have given the client a holistic understanding of their operational, student-related, and external data – elevating their digital journey to the next level. Our established common data model then provides a single source of truth, supporting their strategic analytics needs and enabling seamless integration, processing, and visualization of data on a campus-wide scale. By leveraging LPS’ experience to implement industry best practices and frameworks, the university’s maturity in analytics and AI adoption have become much more transparent, offering tangible steps to enhance data governance, improve operational efficiency, and achieve significant cost savings. This has further helped to promote a data-driven culture, empowering departments, faculties, and students alike to make smarter and more informed decisions.

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