The customer, a global ultra-low-cost airline, is renowned for redefining affordable travel through continuous innovation and operational efficiency. Their commitment to optimizing processes extends to their core data infrastructure, which is critical for driving strategic decision-making and maintaining a competitive edge in a dynamic market.

Business Context

In an era where data-driven insights are paramount for operational excellence and strategic growth, the customer recognized the necessity of a robust, scalable, and cost-efficient data platform. Their existing data and analytics infrastructure, while having grown to support scale across multiple platforms, had simultaneously introduced significant complexity and inefficiencies. This fragmented environment hindered agility, increased operational overhead, and constrained the realization of advanced analytics and machine learning capabilities. The imperative was clear: consolidate, optimize, and unify their disparate data platforms to achieve streamlined operations, enhanced governance, and accelerated time-to-insight.

The Solution

Neurealm partnered with the customer to engineer a state-of-the-art Azure Databricks platform, grounded in the Medallion Architecture. This strategic transformation facilitated the complete migration of workloads from the current data warehouse platform, culminating in a unified, high-performance data ecosystem. The implementation directly addressed the customer’s core challenges by substantially reducing operational overhead, fortifying data governance frameworks, and establishing a foundation for rapid, reliable insights across the enterprise. This holistic solution not only optimized existing processes but also laid the groundwork for future AI/ML innovations, positioning the customer at the forefront of data-driven aviation.

The customer – one of the largest hospitals in Boston, is dedicated to transforming healthcare by empowering patients and pioneering new discoveries. They strive to create an equitable and seamless healthcare experience for all, by reimagining how healthcare is delivered and advancing medical knowledge through research.

Business Context

The customer aimed to achieve seamless interoperability between their disparate legacy healthcare systems and modern cloud platforms. Their vision was to establish a centralized, scalable, and analytics-ready data architecture to enhance insights and decision-making capabilities across their organization. This modernization was crucial for improving overall operational efficiency and patient outcomes.

The Solution

Neurealm’s solution centered on developing an advanced Azure Databricks platform, meticulously designed with a Medallion architecture and leveraging FHIR standardization. This robust framework was specifically engineered to consolidate disparate legacy healthcare data, seamlessly integrating historical information with new Epic data into a single, secure, and FHIR-compliant ecosystem on Azure. This comprehensive approach delivered unified patient information, significantly improving operational efficiency and decision-making for the customer.

The customer is a prominent, not-for-profit, regional healthcare system in the U.S., providing a comprehensive range of inpatient, outpatient, and specialized medical services. Driven by a team of several thousand clinicians, caregivers, employees, and volunteers, the customer is dedicated to being a premier health system, delivering clinical and service excellence.

With multiple hospitals, outpatient centers, and physician clinics spread across the region, safeguarding sensitive information and maintaining operational continuity is paramount to the customer. However, the absence of a formalized
disaster recovery and business continuity plan (DR/BCP) left them vulnerable to service downtime and data loss. To mitigate these risks and guarantee operational resilience, they sought a comprehensive and robust DR solution to protect critical systems and patient data against unforeseen events and cyber threats.

The customer is a leading biopharmaceutical company focused on intense research to deliver innovative health solutions. They leverage cutting-edge science to enhance the treatment and prevention of diseases, and to save and improve lives.

The customer was using an application to obtain insights for their business team tier meetings. Their primary pain points were the lack of data driven insights and the absence of a unified dashboard. The customer wanted to introduce an automated solution that would replace their existing application and provide a unified dashboard, streamlining the process and enhancing the overall efficiency of tier meeting insight analysis. This would ultimately lead to more effective decision-making and potentially contribute to increased revenue generation.

The customer is a leading biopharmaceutical company focused on intense research to deliver innovative health solutions. They leverage cutting-edge science to enhance the treatment and prevention of diseases, and to save and improve lives.

The customer had poor visibility into the state of current and planned utilization of shipping channels. Their goal was to transition to more sustainable ocean freight without compromising on delivery times and efficiency while achieving significantly lower costs through better use of shipping lanes. To reach this goal, they needed AI/ML-enabled recommendations to support decision making across their global customer supply chain.

The customer is a large non-profit medical association in the U.S., specializing in cardiovascular care.

The customer conducts rigorous exams to provide critical certifications for healthcare professionals. Their business teams took care of creating the Multiple-Choice Questions (MCQs). The process of generating these questionnaires required high manual effort and was very time-consuming. So, the customer was looking for a scalable and user-friendly solution to generate MCQs at speed. Ensuring the quality and relevance of these MCQs was paramount to maintaining the high standards of these certifications.

The customer is an industry leader in cutting edge computer networking products. Leveraging advanced networking technologies, they deliver high performance, agility, availability, and automation through their award-winning platforms.

The customer has a cloud-based Infrastructure as Code (IaC) platform featuring their products as virtual sandboxed lab environments to enable potential clients to get familiar with the products through hands-on interactions. They wanted to migrate this labs platform from AWS to GCP and
required an IaC solution built for automation and adaptation within GCP.

The customer is one of the most prominent and respected research universities in the world, featuring top-ranked academic programs. Based in the U.S., they are comprised of several schools and colleges, and have been an innovator in higher education and a leader in global education.

The customer used a legacy warehouse with 130,000+ objects, data from their ERP, legacy systems, and smaller apps, and 100+ system and power users. Data originated from different areas such as SIS, HR, finance, financial aid, and custom feeds from various schools and vendors. The systems were complex and difficult to troubleshoot because of the underlying older technologies. There was high process and data duplication across UDM and UDW systems, escalating operational costs. The customer wanted a modern, cloud-based solution to improve process efficiencies and reduce costs.

Customers First Now (CFN) is a customer delight company created on the principle that all companies must place customers at the center of their business to be operationally and financially successful. CFN creates ‘delighted customers’ by providing end-to-end business solutions through best-in-class software, expertise, and analytics, while adhering to customer experience best practices.

CFN was building a niche customer satisfaction and customer delight platform, which could impact financials and customer acquisition models. There were multiple teams working on this platform across multiple cities. Since their time to market was aggressive and budget was tight, they needed the development environment ‘as a service’. This is when they reached out to Neurealm.

The customer is a leading, innovation-led satellite communications company. Their advanced and resilient global mobile connectivity infrastructure and satellite communications services and solutions provide a connectivity lifeline even in the most remote and challenging locations.

The customer has applications producing large amounts of data that are fed into BigQuery. Several decision systems consume this data to build analytics; and many applications work off the data from other applications. The customer wanted a solution that would make the right data available to the right system, efficiently transfer data from and to applications, and securely manage the data.