Bigglo

Bigglo is a Poland-based company that provides data analytics and cloud services focused on Google Cloud Platform. The organisation positions itself as a provider of analytics, data engineering and cloud migration services and cites clients from multiple countries, indicating operations that extend beyond Poland.

Services and capabilities

• Data analytics and modeling: development and deployment of analytical models, segmentation and behavioral models, and delivery of analytical reports and pipelines.
• Business Intelligence and reporting: creation of dashboards and self-service BI solutions using tools such as Looker Studio and Looker; production of report suites for monitoring business metrics.
• Data warehouse implementation: design and deployment of BigQuery-based data warehouses for storage, querying and analytical workloads.
• ETL/ELT and data replication: design and operation of data ingestion and transformation pipelines, including replication of on-premises or external data into BigQuery (source cites 20 TB replicated).
• Cloud migration and operations: migration of workloads to Google Cloud, configuration of cloud services, and post-deployment support and maintenance under an SLA.
• Machine learning and AI: building and operationalising ML models using Vertex AI, BigQuery ML and related tooling for predictive use cases.

Industry focus

• E-commerce: implementing ML models for sales uplift, conversion optimization and customer retention analytics.
• Internet businesses and marketing: analytics for campaign ROI, web analytics and conversion rate improvement.
• SaaS startups: behavioral modelling, segmentation and classification models integrated with cloud infrastructure.
• Payments and fraud detection: implementation of transaction monitoring and fraud detection systems (case references a reduction in fraudulent transactions).

Technology and delivery approach

• Work is executed on Google Cloud Platform components including BigQuery, BigQuery ML, Looker, Looker Studio, Vertex AI, Dataflow, Dataform, Datastream, Cloud Functions, Cloud Run and orchestration tools such as Workflows and Cloud Composer.
• Typical deliverables include data pipelines, data warehouses, dashboards, ML models and automation scripts; projects are run in short sprints with ongoing monitoring and post-deployment support.
• The organisation states it employs Google-certified experts and provides support and maintenance services under a stated SLA.