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.

The client, a global financial enterprise, relied on NetSuite as its core system but faced integration challenges. To enhance their data ecosystem, they aimed to expose NetSuite data in a scalable external database for seamless integration with platforms like Salesforce and marketing automation tools. The project involved raw NetSuite data migration into Google BigQuery (GBQ) using Informatica Intelligent Cloud Services (IICS) as the ETL tool. By centralizing financial and transactional data, the client built a robust data warehouse, enabling multi-source integration, advanced analytics, and executive-level insights to drive informed decision-making.

A global manufacturing enterprise specializing in welding solutions struggled with cloud management challenges. To address this, NeenOpal conducted an AWS Well-Architected Review, evaluating the client’s infrastructure and implementing best practices. Using the AWS Well-Architected Tool, the client assessed applications and workloads, gaining insights to secure executive buy-in, reduce risk, mitigate technical debt, and enhance security and reliability.

Mokkup.ai is a SaaS platform for dashboard wireframing that streamlines BI development for over 100,000 users worldwide. With Mokkup, users can create dashboard wireframes in just 30 minutes, secure stakeholder approval, and export the wireframe to Power BI or Tableau—reducing development time by 80%.

Our client, a leader in addiction treatment innovation, sought to improve traditional recovery models, which had a 50% success rate over 17 years. Fragmented care and inconsistent assessments hindered effectiveness. NeenOpal developed a scalable, cloud-native SaaS platform—the Digital Risk Stratification Tool using advanced analytics for data-driven risk assessment, real-time insights, and automated reporting. This solution enables personalized care plans, enhances recovery outcomes, and transforms addiction treatment into an insight-driven, predictive healthcare model.

Our client, a leading solar energy company in the USA, uses advanced technology to improve efficiency and decision-making. After being acquired by a parent company using Tableau, they needed to migrate all reports from Power BI to Tableau. They also faced challenges in tracking the usage and adoption of both new and existing dashboards and needed a solution to monitor these metrics effectively.

Our client, the leading independent promoter of live entertainment in North America, partnered with NeenOpal to transform its data visualization and reporting capabilities. Specializing in comedy, festivals, and music, our client sought to leverage data from its entertainment events to drive strategic decision-making, optimize operations, and enhance client services. NeenOpal delivered a comprehensive business intelligence solution powered by Amazon QuickSight, seamlessly integrating automated data processing, advanced visualizations, and tailored dashboards. This implementation has redefined how our client utilizes data, enabling actionable insights and setting new standards in the live entertainment industry.

Our 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. Through the integration of Amazon QuickSight and advanced data engineering solutions, NeenOpal delivered a transformative business intelligence platform that redefined our client's approach to data-driven insights.

Our client, a Fortune 500 subsidiary, collected sensor data from garbage trucks but wasn’t using it for insights. They needed a solution to improve fleet performance, reduce fuel use, and enable preventive maintenance. Using Power BI, NeenOpal built interactive dashboards to reveal performance metrics, patterns, and machine learning results like anomaly detection and clustering.

Our client, a global leader in the engineering sector specializing in welding consumables and machinery, operates in over 100 countries with a network of more than 30 subsidiaries, delivering exceptional service and support worldwide. To enhance their operations, NeenOpal designed Tableau dashboards currently utilized across four regions and 26 countries, supporting a geographically diverse user base. With 40 active users presently and plans to exceed 200 in the coming months, these dashboards showcase their effectiveness and adaptability to meet the client’s global business requirements.

A US-based lending organization offers non-diluting loans to SaaS companies and small-to-medium businesses, providing fast, easy, and affordable funding for their growth. With quick approvals and flexible terms, they help businesses take advantage of opportunities without the hassle of traditional financing.

Our client, a Seattle-based leading firm in employee scheduling software, specializes in shift-based workforce solutions. Their platform helps businesses streamline scheduling, adapting smoothly to changing demands. With NeenOpal’s expertise, they wanted to consolidate data from multiple sources including Salesforce, Quickbooks into Azure SQL database, offering clear visual insights for smarter decision-making and finding new opportunities. NeenOpal enabled the client to take their initial step into cloud adoption with the implemented solution.

Our client, a leading real estate insurance provider, safeguards brokers, agents, and home sellers from legal disputes while offering escrow and closing services. Their in-house marketing team helps real estate partners with market stats, social media assets, and growth strategies. In the competitive real estate industry, innovation is essential. NeenOpal helped them enhance efficiency, gain strategic insights, and strengthen their market position through real estate data analytics and cloud solutions.

Our client, a prominent pharmaceutical company, delivers global healthcare solutions. One of their key goals is to continuously explore new strategies to refine their business operations and maintain a strong competitive edge. With a global footprint spanning multiple continents, the company remains steadfast in its pursuit of optimizing operational efficiencies to uphold its competitive position in the dynamic healthcare market.

Our client, a leading U.S. energy company, is building a centralized Snowflake Data Warehouse (DWH) to unify data from Salesforce, Meta, Bing, Google, and NetSuite. This improves data analysis, reduces inconsistencies, and enhances accessibility. NeenOpal’s solution ensures seamless data management with robust governance and security measures.

As a trusted brand in America’s solar industry, our client drives impact through innovative solutions and excellence. Their sales and marketing team sought to revamp their setup to enhance call center efficiency, boost ROI, optimize marketing spend, and automate reports. With data from Meta, Bing, and Google, they needed a unified system to streamline marketing and improve operations.

A leading Canadian healthcare technology company is revolutionizing medical care access by offering real-time walk-in clinic wait time information. NeenOpal's advanced data analysis solution addressed complex challenges, transforming fragmented data into actionable insights. This intervention significantly elevated clinic operations and enhanced user experiences, marking a turning point in healthcare innovation.

Our client, a real estate insurance provider, ensures protection for brokers, agents, and home sellers from legal liabilities. As it expanded across US locations, integrating various tools led to data silos, hampering information access. Leadership faced challenges in decision-making due to fragmented insights, while the technical team struggled to maintain 16 disparate data sources.

Our client, a UK-based startup aims to transform real estate by harnessing publicly available data for a cutting-edge Machine Learning model. This model will provide precise property price forecasts for the UK over the next 5 years, empowering investors and enthusiasts with data-driven decision-making capabilities.

Our client, a leading Orlando-based holding company specializing in venture capital and private equity, operates across lead generation, market analysis, financial services, and tech solutions like targeted email delivery. Despite leveraging AWS, they faced optimization challenges—where NeenOpal stepped in to enhance their AWS workloads.