Background A civic engagement and democracy-focused organization with a 100+ year legacy plays a critical role in empowering voters, educators, students, donors, and policymakers. Its digital platform serves as the primary hub for election information, civic resources, events, and donations. However, the organization’s existing website, built on Apostrophe CMS, had become difficult to scale, hard …
Background A leading deals and experiences marketplace wanted to reduce friction in its purchase journey and improve conversion rates from mobile-first users. While the platform offered a wide range of location-based deals and experiences, completing a booking required users to navigate multiple screens, forms, and redirects. To simplify this journey, the company aimed to transform …
Background A global consumer goods company set out to modernize how applications are planned, developed, and maintained. As part of this transformation, the company wanted to pilot a GenAI-first approach by building a fully digitized Sampling (Trials) Application used by ~150 Team Leaders and ~4,500 Execution Agents. The objective was not only to build the …
Background A global executive research firm specializing in financial services and investment banking relied heavily on analyst-driven market intelligence. Their core value proposition depended on accurately tracking leadership movements, mapping industry talent, and producing high-quality client reports. However, manual data entry, fragmented systems, and time-intensive reporting workflows were limiting scale, speed, and consistency. What They …
Background A leading financial institution operates across 15,000+ branches, especially in Tier 2–6 towns. With such scale, the ability to empower every employee to instantly create consistent, compliant, multilingual creatives within minutes — maintaining brand identity, saving time, and ensuring regulatory alignment becomes critical for driving local engagement. However, a fully centralized marketing process made …
Problem Statement: The GCP environment faces cost inefficiencies and performance bottlenecks due to a range of misconfigurations and operational oversights. Cost-related issues dominate, such as idle or forgotten resources, high logging/storage overheads, and unoptimized BigQuery usage may lead to high cloud spend. Additionally, architectural inefficiencies—like ineffective data partitioning, poorly designed queries, and unnecessarily activated services—further …
Problem Statement A supermarket chain faced critical challenges that impeded their ability to make timely and informed business decisions: Proposed Solution To address these challenges, the supermarket chain implemented a robust ETL pipeline using SQL Server Integration Services (SSIS), consolidated data into a SQL Server data warehouse, and restructured reporting with Power BI. Scenario Details …
Problem Statement The cosmetics retail company faced the following challenges, limiting their ability to make data-driven decisions: Proposed Solution To address these challenges, the company implemented a modern data architecture using Azure Data Factory (ADF) for ETL, Azure Data Lake Storage (ADLS) as a centralized data repository, and Power BI for unified reporting and insights. …
Business Context A leading US retail pharmacy chain handles vast amounts of transactional, inventory, and customer data daily. This data comes from diverse sources, including APIs (REST and GraphQL), SQL/NoSQL databases, and third-party platforms such as marketing and logistics systems. The company requires a scalable ELT pipeline to ensure high-quality data is transformed and analyzed …
Background A leading provider of advanced data solutions, was experiencing significant performance bottlenecks in its data processing pipelines. The company relied on legacy systems that could not keep pace with rapidly growing data volumes, leading to delays in analytics and reporting. These issues not only hampered operational efficiency but also increased operational costs and customer …