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Monash IVF Logo

Transforming Healthcare Data with Qlik Cloud Analytics

Notitia helped Monash IVF integrate disconnected systems, migrate to the cloud, and establish a single source of truth—boosting compliance, insights and growth.

Cloud Migration Healthcare • Qlik Cloud Analytics • Health Dashboard • Healthcare Reporting • Data Strategy

Monash IVF Header Image with Dashboards
Monash IVF Logo

Transforming Healthcare Data with Qlik Cloud Analytics

Notitia helped Monash IVF integrate disconnected systems, migrate to the cloud, and establish a single source of truth—boosting compliance, insights and growth.

Cloud Migration Healthcare • Qlik Cloud Analytics • Health Dashboard • Healthcare Reporting • Data Strategy

Monash IVF Header Image with Dashboards
The Challenge

Disconnected Data and Cloud Migration Needs

Monash IVF, a leader in reproductive healthcare, is deeply committed to its core pillars of digital transformation and enhancing patient experience. However, the execution presented significant challenges due to the complexity of its data systems.

One of the primary issues was the lack of cohesion among data from various disconnected systems. This fragmentation not only hindered Monash IVF’s ability to produce holistic, rigorously audited, and accurate reports, but also limited their capacity to gain a comprehensive view of operations—critical in a highly regulated sector like reproductive healthcare.

Monash IVF had expanded by acquiring several smaller IVF providers, which added further complexity. Each of these providers came with its own reporting systems, making it difficult to integrate data and maintain consistency.

These disparate systems created significant inefficiencies, complicating both operational reporting and regulatory compliance. In addition to the data management challenges, Monash IVF needed to transition from on-premise infrastructure to the cloud, a process that had to be executed seamlessly to ensure that day-to-day operations —particularly patient care—were not disrupted.

Key Challenges:

• Inability to achieve holistic, audited, and accurate reporting outcomes due to unconnected data from disparate systems.
• Compliance risks in a highly regulated healthcare environment.
• The complexity of absorbing different data reporting systems from acquired IVF providers.
• The need for a smooth migration from on-premise to cloud infrastructure while ensuring operational continuity.

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The Solution

Unified Data Hub

The organisation required a solution that would not only address its immediate data challenges but also set the foundation for future growth and regulatory adherence.

Monash IVF partnered with Notitia to develop and implement a comprehensive data strategy that involved deploying cloud-based analytics and visualisation platforms.

The project began with an in-depth analysis of Monash IVF’s existing data infrastructure, identifying specific challenges related to data formats, sources, and quality.

Working closely with Monash IVF stakeholders, Notitia conducted a needs assessment to understand the organisation’s goals and key performance indicators (KPIs). This collaboration helped define the scope. 

Qlik Cloud Analytics was selected as the preferred analytics and visualisation tool based on its scalability, ease of use, and compatibility with Monash IVF’s existing systems.

A Data Lake was established on Azure, allowing the consolidation of data from multiple sources into a centralised hub. This was crucial in eliminating data fragmentation and establishing a “single source of truth.” 

To enhance data usability, bespoke interactive dashboards were developed to meet Monash IVF’s operational and reporting needs, offering actionable insights into patient behavior, market trends, and operational efficiency. 

Notitia provided extensive training for Monash IVF staff, ensuring they could effectively use and manage the new systems.

The final phase involved migrating Monash IVF’s data from on-premise to the cloud. Notitia ensured that data integration and transfer routines were established to maintain data consistency and operational continuity during the transition.

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The Outcome

Streamlined Insights Access

The implementation of Qlik Cloud Analytics not only solved Monash IVF’s immediate challenges but also transformed the way the organisation manages and uses its data. One of the most significant outcomes was the creation of a single source of truth, which consolidated data from multiple systems into a unified hub, providing a comprehensive view of operations. This enabled Monash IVF to make data-driven decisions, aligned with business strategy.

The cloud infrastructure provided scalability, allowing Monash IVF to manage growing data volumes while supporting remote work for staff.

Enhanced data security measures ensured the protection of sensitive patient information, while improved backup and disaster recovery capabilities minimised the risk of data loss or operational disruption.

The solution future-proofed Monash IVF’s technology, positioning the organisation for continued growth and enabling it to scale efficiently while maintaining focus on improving patient care and operational excellence.

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Our Delivered Solution

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Fyna Foods Dashboard Wireframe
Fyna Foods Dashboard Wireframe
Fyna Foods Dashboard Wireframe

See how Monash IVF unified their data and migrated to the cloud

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“More people have better access to data. That’s leading to better insights and ultimately better outcomes for the programs and initiatives that we manage for the people of South Western Sydney.”

Nick McGhie
Digital Health & Data Manager, SWSPHN
Client profile
Monash IVF

Monash IVF is committed to providing support at every stage of the fertility journey. With over 50 years of experience and more than 50,000 babies born, they are leaders in reproductive care.

Most importantly, they are passionate about helping individuals create a family when they are ready, regardless of their stage in life. Whether someone wants to proactively manage their reproductive health or simply gain peace of mind about their future family prospects, Monash IVF is there to offer guidance.

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Data Strategy

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Data Lakes and Warehouses

It allows organisations to store raw, unstructured, and semi-structured data in its original format, while also enabling the transformation and organisation for fast querying.

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Self-Service Dashboards

We build the underlying technology, pipelines and data model that feed self-service dashboards for our clients, to enable your people to ask and answer their own questions.

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Data Strategy

A data strategy is a technical roadmap, tailored to solve your current and future data challenges, It's about applying a strategy that works long-term.

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Data Lakes and Warehouses

It allows organisations to store raw, unstructured, and semi-structured data in its original format, while also enabling the transformation and organisation for fast querying.

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Self-Service Dashboards

We build the underlying technology, pipelines and data model that feed self-service dashboards for our clients, to enable your people to ask and answer their own questions.

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