Factspan & Google Cloud
Partnership

Partnering with Factspan unlocks the full potential of Google Cloud through our “Data to AI” strategy. We accelerate time-to-value by cutting migration time in half with GenAI-powered tools and accelerators.

Our industry specific unified data models, enhance data trust and governance, while ensuring security and compliance.

Furthermore, we drive analytics innovation with AI/ML-powered industry solutions and a GenAI intelligence layer that simplifies complex insights. Our Data to AI strategy establishes a strong data foundation that unlocks business value and data-driven decision-making.

Our Offerings

Factspan offers a comprehensive suite of solutions designed to empower enterprises with advanced data, analytics, and AI capabilities. Our offerings encompass both horizontal services and industry-specific solutions, enabling organizations to harness the power of AI, democratize insights, and achieve cost efficiency.

Data Analytics Migration

We modernize analytics stacks by migrating to GCP services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Looker. From planning through execution, we ensure seamless onboarding with minimal disruption, optimized for scale, performance, and cost.

Cloud Data Engineering

Using tools like BigQuery, Dataflow, Dataproc, and Cloud Storage, we build scalable pipelines that automate data ingestion and transformation. Our solutions ensure real-time processing, reliable ETL, and cross-platform access, all within a secure GCP architecture.

Data Science & ML

We apply Vertex AI, AutoML, and GCP-native MLOps to solve real business problems, across forecasting, NLP, and computer vision. From model training to drift detection, our solutions are built to scale, automate, and accelerate time-to-insight on Google Cloud.

Generative AI & FLUX

Our FLUX GenAI framework runs natively on GCP using Vertex AI and custom LLM stacks. We help enterprises build safe, production-ready GenAI systems, covering everything from maturity assessments and fine-tuning to Responsible AI governance.

Strategic Analytics

We build high-impact BI solutions using Looker and BigQuery to turn raw data into business action. With a focus on storytelling, experimentation, and decision-ready dashboards, we empower teams to drive growth using GCP’s full analytics ecosystem.

Data Governance

We design enterprise-grade governance frameworks on GCP using IAM, Data Catalog, Cloud DLP, and native security controls. Our approach ensures compliance, metadata visibility, and trusted data access, across teams, tools, and environments.

Expertise

We deliver enterprise-scale data analytics solutions using Google Cloud’s native services such as BigQuery, Dataflow, Dataproc, Dataplex, and Pub/Sub. Our teams enable organizations to build intelligent, real-time, and governed data platforms, complemented by intuitive dashboards and embedded analytics using Looker.

Factspan Google Cloud Competencies

Our Google Cloud-certified professionals specialize in cloud-native architectures, AI-driven solutions, and enterprise analytics, helping businesses maximize their GCP investments. From modernizing data platforms and automating machine learning workflows to enhancing real-time decision-making, we deliver high-impact solutions tailored for Google Cloud.

Our Accelerators

Data Validation Framework

Custom Data Ingestion Framework

Data Quality Framework

Attribute Validator & Recommender

Tailored for GCP migrations, this solution ensures data accuracy by automating validation tasks. It delivers precise insights through dashboards, improving look-up and match rates while minimizing manual effort.

Talk to our Expert

Developed to streamline large-scale data ingestion, this framework automates processes from diverse sources into GCP. It enhances efficiency with parallel  processing, cutting processing times by up to 70%.

Talk to our Expert

Focused on maintaining data integrity, this framework automates quality checks using customizable rules. It provides quick issue resolution via integrated dashboards, reducing manual workload by 50%.

Talk to our Expert

Designed for accurate product data management, this engine identifies missing or incorrect attributes and recommends corrections. It ensures data reliability through robust validation mechanisms. 

Talk to our Expert