Transforming Wait Times With Virtual Queue Management And Mobile Application Development
Successive Digital helped ClevaQ develop a mobile application that transforms the waiting experience with virtual...
AI-driven metadata enrichment, content intelligence, and automated data pipelines enabled a unified data ecosystem-improving efficiency, strengthening governance, and powering real-time insights across global markets as part of a broader Digital Transformation journey.
structured + unstructured data unified
platforms consolidated into a single data lake
The client is one of the world’s largest media and customer-experience groups, operating across 120+ markets with a workforce of ~68,000 employees. They deliver end-to-end marketing, media, Data & AI, content, and CX solutions for Fortune 500 brands.
Despite operating at massive scale-with 720+ offices-their content, document, and data workflows were fragmented. Data lived in hundreds of isolated systems, making audience insights, campaign optimization, and operational efficiency increasingly difficult. To remain competitive in a fast-moving digital ecosystem, their leadership prioritized a unified data foundation supported by modern engineering, automation, and Application Modernization Services.
Rapid growth and decades of acquisitions led to a siloed architecture where content and data were scattered across more than 200 disconnected systems. Without streamlined governance or modern Data Engineering Services, teams struggled with slow ingestion pipelines, inconsistent metadata, and high manual effort across tagging, validation, and document processing.
This fragmentation reduced visibility, slowed execution, and limited the ability to deliver consistent customer experiences at scale. A comprehensive Digital Transformation initiative was essential to unify their ecosystem and increase operational agility.
To modernize the client’s fragmented ecosystem, Successive Digital engineered a next-generation, AI-powered Data, Content & Document Management Hub-unifying platforms, automating data workflows, and enabling intelligent, real-time insights across global teams.
We consolidated 200+ disparate platforms into a centralized data lake, integrating 200 TB of structured and unstructured data. This served as a single, governed source of truth-an essential foundation for scalable Data & AI initiatives.
We built scalable ingestion pipelines with schema normalization, deduplication, and identity stitching, supported by modern Data Engineering Services. This ensured data consistency, reduced manual reconciliation, and enabled faster cross-platform insights with automated quality checks.
We implemented role-based access control, versioning, approval workflows, and retention policies-creating a governed content ecosystem aligned with compliance standards while supporting the company’s broader Digital Transformation roadmap.
We deployed intelligent search capabilities that index content, documents, and creative assets-enabling instant discovery, filtering, and analysis. This improved productivity across 120+ markets and accelerated operational workflows.
We enabled dashboards for ROAS/CPA/CTR performance tracking and predictive intelligence. These tools empowered teams to make data-backed decisions and optimize campaigns with AI-driven recommendations across modernized applications.
Through comprehensive Site Reliability Engineering Services, we delivered 24/7 monitoring, incident resolution, and SLA-driven operations-ensuring consistent performance and uninterrupted access for ~68,000 employees worldwide.
Honoring our achievements in AI strategy and innovation, recognized by industry leaders for driving impactful transformation.
We design and engineer AI-enabled solutions that elevate customer experience and help enterprises accelerate growth through scalable, technology-driven innovation.