Patients get coverage faster with predictive insurance insights
A global healthcare solutions provider was grappling with the growing complexity of data management and a lack of real-time insights. Legacy systems created operational bottlenecks, from manual data handling to difficulties in estimating insurance costs and qualifying leads.
By partnering with us, the client deployed powerful, low-code Alteryx workflows to transform its data operations. This resulted in faster analytics, smarter decisions and empowered users, all enabled by a modern, scalable data environment.
The Challenge
The client’s legacy infrastructure created significant barriers to generating accurate insights and responding effectively to market needs. Manual data processing delayed workflows, middleware issues caused persistent duplicate orders and language limitations within the European B2B portal impacted usability.
The under-optimized legacy platform led to rising costs and security vulnerabilities, while a lack of integration between the B2C system and the new retail POS negatively affected customer experience. Together, these limitations not only inhibited the client’s ability to generate insights, forecast accurately and improve user experiences, but also placed additional strain on employees and eroded customer satisfaction highlighting the urgent need for transformation.
The Solution
We implemented modular Alteryx workflows tailored to key business priorities
- Health insurance cost estimation: Our Alteryx solution automated the collection, preparation and modeling of data. This included patient age, chronic conditions and physical attributes, allowing accurate premium pricing for health policies.
- Lead scoring and conversion optimization: The solution unified data from multiple sources to evaluate lead quality, website behavior and conversion potential. Predictive scoring enabled better lead prioritization and improved win rates.
Through this initiative, manual tasks were eliminated, processes were unified and decision-making became insight-driven.
The Impact
The transformation delivered tangible, cross-functional benefits:
- 20x faster diagnostic model creation, accelerating insights and actions
- 44% reduction in weekly data preparation using Alteryx AutoML
- Business users were empowered with low-code tools, enabling self-service analytics
- Enterprise-wide scaling of machine learning fostered collaboration and improved performance across teams
Beyond the Numbers
With Alteryx at the core of its data transformation, the client redefined what agility looks like in healthcare analytics. We unlocked new possibilities where insights arrive faster, decisions are backed by data and every user becomes a contributor to business growth.
This engagement reflects a growing industry shift. More healthcare organizations are embracing low-code platforms to bridge the gap between data silos and actionable intelligence. As a trusted transformation partner, we continues to empower enterprises to lead in a data-first world.
Celebrating Success
The successful implementation of workflows marked a significant transformation for the healthcare provider, shifting from fragmented systems to a predictive analytics environment. This transition not only enhanced operational efficiency but also empowered business users with low-code tools, fostering a culture of data-driven decision-making.
Insights from the our Cloud Evolution report highlight that 80% of organizations agree the value of public cloud can only be fully realized if applications are modernized when migrated rather than lifting and shifting. Additionally, 76% of respondents reported they employ platform engineering either extensively or for some subset of their development projects, helping them accelerate cloud-native adoption, improve developer productivity and standardize delivery across teams. These trends reinforce how a modernized data ecosystem can enable healthcare enterprises to unlock insights, scale innovation and deliver smarter outcomes.
