Real-Time Data Ecosystem
Real-Time Intelligence for Real-World Impact

Challenge
- Companies face an increasingly competitive landscape where growth depends on the ability to run high-performing digital campaigns across Google Ads, Facebook Ads, MediaAlpha, and other platforms. For one fast-growing client, this meant dealing with:
- Dispersed and siloed data, coming from multiple ad networks and internal systems.
- Limited real-time visibility makes it difficult to react quickly to campaign performance.
- Lack of unified insights into both user journeys and agent behavior, which restricted optimization efforts.
- This created a critical barrier: despite strong demand and significant marketing spend, decision-making was reactive, slow, and disconnected.
- At Bit Solution Group, the challenge was to transform this fragmented environment into a single, reliable, and automated data ecosystem. Our role was not only to integrate and centralize multiple data sources, but also to ensure that insights could be delivered in real time, enabling faster decisions, higher efficiency, and sustainable growth.
Our Solution
- Built a high-performance, scalable solution on Google Cloud designed to unlock the full power of data. From seamless ingestion to dynamic visualization, the architecture ensures every step of the data journey adds business value. With real-time processing and AI-powered, companies gain not just faster insights but smarter decisions, improved customer experiences, and measurable growth.
- Lessons Learned:
- Modular architecture enables frictionless scaling
- Early data validation prevents downstream errors
- This project demonstrates how the right architecture can transform complexity into clarity, turning fragmented operations into automated, auditable, and insight-driven workflows. For businesses that rely on data to scale campaigns, optimize lead generation, or gain a deeper understanding of their customers, Bit Solution Group delivers solutions that connect technology directly to business growth.
Key Components
- Cloud Composer: Orchestrates daily and event-driven pipelines
- Pub/Sub: Enables real-time ingestion of events and call data
- Cloud Storage: Serves as a data lake for JSON ingestion
- BigQuery: Data warehouse with raw, staging, and consumption layers
- DataForm: Handles SQL transformations, validations, and quality control
- Power BI: Interactive dashboards for marketing, sales, and buyers
Results Achieved
- 70% reduction in data processing time
- Real-time ingestion for agile campaign optimization
- Conversational insights to improve segmentation and agent training
- Automated reporting for buyers with tailored metrics
- Enhanced traceability and auditability for compliance and quality control