Analytics & AI Transformation: Real-World Success Stories
Discover how NeenOpal empowers businesses with AI & Data-driven transformation.
38 case studies
Building a Scalable Financial Wellness Platform with AWS
Subhojit DeyThe client partnered with NeenOpal to develop a modern financial wellness platform tailored for individuals, families, and small businesses. The platform aimed to simplify money management across generations through features like account aggregation, budgeting tools, and multi-role access. NeenOpal brought this vision to life by building a scalable, secure, and insight-driven SaaS platform — powered by a serverless AWS architecture and designed for enterprise-grade reliability.
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Seamless Migration from Snowflake to Google BigQuery
Akshat Agrawal
Our client, a leading US solar services provider enhanced their data ecosystem by switching from Snowflake to Google BigQuery for improved scalability, performance, and centralized access. Over six months, 2000+ tables and 100+ procedures were migrated, overcoming challenges such as text handling and tooling limits. Robust ETL workflows and validations provided a smooth, timely transition.
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Rescuing Cloud Infrastructure & Driving Long-Term Security with AWS Well-Architected Review
Just a week into a new partnership, a digital lending company contacted NeenOpal on New Year’s Eve due to a critical infrastructure outage. Their production systems had been down for over two business days, disrupting operations during a peak traffic period. NeenOpal’s DevOps team promptly intervened, restoring services within hours. This immediate resolution was followed by a comprehensive AWS Well-Architected Framework Review (WAFR) to identify underlying reliability issues and deliver a clear roadmap for building a scalable and resilient cloud infrastructure.
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Driving Smart Manufacturing Transformation with AWS & AI-Powered Command Center
Dhruv Chowdary
Manufacturers are rapidly embracing smart manufacturing solutions to overcome challenges like unplanned downtime, poor forecasting, and siloed data. NeenOpal, in collaboration with AWS industrial services, has developed an AI-powered Manufacturing Command Center (MCC) that integrates Amazon AI, Industrial IoT, and predictive analytics. Using tools like Amazon Q, our solution transforms raw manufacturing data into actionable intelligence, enabling faster decisions and improved operational efficiency.
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Rebuilding NetSuite Saved Searches in Google BigQuery
Our client, a multinational organization, relied heavily on NetSuite Saved Searches to generate operational reports. Saved Searches served as a vital tool for extracting, filtering, and organizing NetSuite data for day-to-day decision-making. The project aimed to replicate NetSuite Saved Searches in Google BigQuery by translating their logic and configurations into SQL queries. This required a deep understanding of Saved Search logic, accurate mapping of fields, and precise joining conditions between tables to ensure outputs in GBQ matched those generated by NetSuite. The objective also included enabling seamless visualization of these reports in external analytics tools such as Tableau.
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Personalized Financial Categorization with AI-Powered SaaS on AWS
Navya AnimoneTraditional financial management tools struggle to personalize categorization at scale, often locking users into rigid category structures. NeenOpal, leveraging AWS and OpenAI, built a FinTech SaaS platform that integrates seamlessly with services like Plaid, Stripe, and Bill.com to automate income and expense categorization. By using lightweight LLMs, we enabled user-defined financial categories with real-time AI-powered classification, creating a personalized, scalable, and cost-efficient solution.
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Modernizing Monolithic Architecture: Kubernetes-Based Microservices Deployment & CI/CD Pipeline
A rapidly growing startup was held back by its old monolithic app running on traditional virtual machines. Manual deployments, poor scalability, and high maintenance slowed down progress. NeenOpal helped modernize their setup by migrating to AWS Elastic Kubernetes Service (EKS) and building a fully automated CI/CD pipeline using Jenkins, ArgoCD, and GitOps. This improved agility, security, and overall efficiency.
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Modernizing Data Infrastructure with a Real-Time, Scalable ETL on AWS
Our client, a leading provider of digital loan solutions, sought to modernize its data infrastructure for better performance and agility. NeenOpal redesigned the cloud architecture with an AWS-native ETL pipeline, enabling scalable, near real-time data movement and robust transformation. This ensured enhanced data infrastructure and analytics capabilities while reducing operational overhead. The re-architecture facilitates infrastructure modernization and serves as a blueprint for secure, cost-efficient cloud data operation.
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Automating CI/CD with AWS DevOps Tools for a Scalable Cloud-Native Application
Subhojit DeyA fast-growing fintech company was hindered by slow, error-prone manual deployments for its cloud-native application. The frontend was hosted on Amazon S3, while the backend ran on Amazon EC2, with no automated pipeline in place. NeenOpal streamlined their operations by designing and deploying a fully automated CI/CD pipeline using AWS DevOps tools, resulting in faster releases, reduced risk, and real-time observability.
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Revolutionizing Industrial Analytics for a Heavy Machinery OEM with NeenOpal's IoT Analytics & QuickSight Expertise
Subhojit DeyOur client, a global leader in the construction equipment sector, embarked on an ambitious project with NeenOpal to revolutionize its data management and analytics capabilities. This strategic partnership aimed to harness the vast volumes of IoT-generated data from their vehicles to empower decision-making processes, enhance operational efficiencies, and set new benchmarks in the heavy machinery industry.
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