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Yash Thakkar
1 ш - перевести

Healthcare data teams want apps that live where their data lives. Building Unify—one of our first Snowflake Native Apps—showed us why that choice solves headaches around security, speed, and trust. Here we break down each stage of the build for the deduplication app, share the problems we met, and list the habits that kept us on track.

Most healthcare data management apps still live outside the warehouse, pulling rows across networks and piling audit tasks onto already-tired security teams.

We wanted a cleaner path.

So, we built Unify as one of our first Snowflake Native Apps that run inside the customer account. Doing so changed how we think about trust, speed, and even pricing. This article spells out what we learned during the development of a data dedupe app, starting with the core idea—keeping the work where the healthcare data already lives.

Discover best practices in Snowflake Native App development from our experience building Unify, a secure and scalable data deduplication solution.

https://inferenz.ai/resources/....blogs/building-unify

#datadedupeapp #deduplicationapp #healthcaredatamanagement #healthcaredata #datadeduplicationapp

Best Practices in Snowflake Native App Development 
inferenz.ai

Best Practices in Snowflake Native App Development 

Discover best practices in Snowflake Native App development from our experience building Unify, a secure and scalable data deduplication solution.
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Yash Thakkar
3 ш - перевести

Explore how Inferenz helped a global consumer-networking brand overcome chaotic event data and outdated churn models by unifying tens of millions of raw JSON events per day under one common schema, cutting across clickstreams, alerts, and device logs. By introducing a low-code rule engine and predictive models based on gradient-boosted trees, they enabled real-time detection of churn risk days earlier. The results? A 25% increase in customer renewals through more timely offers, an 80% reduction in time needed to onboard new event types, and a 40% reduction in processing costs thanks to a shared event-processing pipeline

Driving this transformation was a tech stack featuring Kafka, Snowflake, Databricks, Python/PySpark, AWS Lambda, and Apache NiFi, combined with live dashboards via Tableau. The integrated pipeline directly streamed churn risk scores into CRM and push-notification systems, enabling proactive campaign adjustments and measurable campaign-to-sale conversion improvements

Check the full case study here.

https://inferenz.ai/resources/....case-studies/predict

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Yash Thakkar
3 ш - перевести

Learn how Natural Language Analytics (NLA) can simplify complex healthcare data and make insights more accessible for home care providers. Inferenz’s AI-powered solution allows users to ask questions in plain English and receive instant, actionable insights—no technical skills required. Whether it’s scheduling, patient records, billing, or performance metrics, everything becomes easier to access and interpret.

By using Natural Language to SQL (NL2SQL) technology, care teams can reduce their reliance on IT teams or data analysts and make faster decisions that directly impact patient outcomes. This approach not only saves time but also improves operational efficiency across departments.

Read the full blog to learn more about how Natural Language Analytics is transforming decision-making in home healthcare:
https://inferenz.ai/resources/....blogs/artificial-int


#machinelearning #naturallanguageprocessing #llm #artificialintelligence #agenticai

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Yash Thakkar
4 ш - перевести

Looking to unify and simplify your healthcare data?

https://inferenz.ai/resources/....case-studies/intelli

Inferenz offers Intelligent Data Integration Solutions tailored for US-based home care organizations.

-> Real-time data sync
-> Legacy system modernization
-> HIPAA-compliant integration
-> Faster decision-making with unified views

In our recent case study, we helped a leading home care organization overcome fragmented data silos and build a scalable, AI-powered platform using Azure, Informatica, and Snowflake.

Whether you're a health system, provider network, or care-at-home agency — we can streamline your data journey.

Key Features:
-> Cloud Data Warehousing (Snowflake)
-> ETL/ELT Pipelines (Informatica Cloud)
-> Secure and Scalable Azure Integration
-> Real-time Alerts and Dashboards

Contact Now:
Email: hello@inferenz.ai
Website: https://inferenz.ai/

Intelligent Data Integration for US-Based Home Care Organization
inferenz.ai

Intelligent Data Integration for US-Based Home Care Organization

Inferenz built a scalable data science platform to automate the ML lifecycle—boosting model development, deployment, and collaboration.
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Yash Thakkar
4 ш - перевести

At Inferenz, we built Unify to solve a critical challenge in healthcare data management—duplicate records inside Snowflake. Unify is a lightweight, AI-powered deduplication app that runs directly within your Snowflake account, eliminating the need for data exports or additional infrastructure. It accurately detects and removes duplicate rows, ensuring your data is clean, consistent, and analytics-ready.

With just a few clicks on the Snowflake Marketplace, Unify can be installed and deployed in minutes. It’s designed to help healthcare organizations maintain data integrity, improve operational efficiency, and drive better patient outcomes—while staying fully within the Snowflake ecosystem.

Discover how Unify by Inferenz simplifies healthcare data cleanup.

https://inferenz.ai/solutions/unify/

#healthcaredata
#datadeduplication
#datadedupeapp
#snowflakenativeapp
#snowflakemarketplace

Unify by Inferenz | Healthcare Data Dedupe App on Snowflake
inferenz.ai

Unify by Inferenz | Healthcare Data Dedupe App on Snowflake

Unify is a Snowflake-native app by Inferenz that de-duplicates healthcare data with zero exports or servers—fast, secure, and ready in minutes.
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  • 16 сообщений
  • https://inferenz.ai/

  • Мужской
  • 05/21/84
  • Работает в Inferenz
  • Страна Индия
  • Город 1407 - 1415, The Capital 2 , Science City Road, Sola, Ahmedabad 380060, Gujarat, India.
  • Социальные ссылки
О нас

Yash Thakkar is the Co-Founder and Managing Director of Inferenz, a leading Data and AI/ML solutions provider. With expertise in Data Analytics, Databases, AI/ML, and Cloud Computing, Yash is dedicated to creating positive social and environmental impact through innovation. Passionate about learning and collaboration, he seeks opportunities to grow as a leader and contribute to dynamic organizations.

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