Unify enterprise data
Connect SAP, Oracle and business applications. Design batch and streaming pipelines and a governed data platform.
YOUR GOOGLE CLOUD TEAM
Data & AI consulting
Connect enterprise data to business decisions. Ingestion, integration, governance, analytics and AI, from SAP and Oracle to a unified Google Cloud data platform.
Discuss your data platform ↗How we help
Make insight usable
Develop BigQuery data models and Looker reporting around the decisions your teams need to make.
Take AI into practice
Prioritize use cases, build an MVP, evaluate quality and risks, then plan integration and operations.
What the engagement can deliver
A prioritized use case tied to a business owner, available data and a measurable evaluation plan.
A pilot or MVP with documented architecture, access controls and quality evaluation.
A production-readiness plan covering integration, human review, monitoring and knowledge transfer.
Agree the scope before we start
We agree the data permissions, quality measures, security boundaries and conditions for moving beyond the pilot. Model outputs and business benefits must be evaluated in context; a successful demonstration is not automatically production readiness.
What to bring to the first conversation
The business problem, process owner, relevant data sources, access constraints and the way you would judge a useful result.
Questions about this service
Can you help us start before our data platform is complete?
We can assess readiness, select a suitably bounded use case and identify the data foundations needed for a useful pilot before agreeing the build scope.
What should we prepare for the first conversation?
The business problem, process owner, relevant data sources, access constraints and the way you would judge a useful result.
Data, analytics and AI guidance
Explore the capabilities, methods and practical resources for your project. Scope, licensing, timing and support are agreed with your Cloudypedia team.
End-to-End Data & AI Services
Unlock Your Data's True Value:
End-to-End Data & AI Services
Your data is your most valuable asset, but it's often locked in complex silos. Enterprise systems like SAP, Oracle, and other legacy applications don't easily connect to modern cloud tools, making "value realization" a constant challenge.
Cloudypedia bridges this gap. As Google Cloud Premier Partners, we don't just build reports; we build the entire, end-to-end data platform that transforms your raw data into measurable business value. We manage the full data lifecycle, from complex ingestion to transformative AI.
Our End-to-End Data Lifecycle
We build the governed foundation that makes analytics and AI possible.
1. Ingestion & Integration (Connecting Your Enterprise)
We build robust, scalable data pipelines to ingest data from any source. We specialize in complex integrations with the core enterprise systems you run today, including SAP S/4HANA, Oracle (OCI), and other legacy applications. Using tools like Google Cloud Dataflow and Pub/Sub, we stream and batch all your data into one unified platform.
2. Transformation & Governance (The Modern Data Warehouse)
Raw data must be clean, governed, and ready for analysis. We use Google BigQuery to build a modern, AI-ready data warehouse that becomes your single source of truth. This central, serverless platform enables high-speed processing and federated queries, all while ensuring your data is secure, compliant, and governed using tools like Google Cloud Dataplex.
3. Value Realization (Analytics & AI)
This is where your data creates value. We turn your governed data into tangible business outcomes. Using Google Looker, we build advanced analytics dashboards. With Google Vertex AI, we design, build, and deploy custom AI models—from demand forecasting and anomaly detection to personalized customer experiences and Generative AI applications.
How We Deliver: Our Data & AI Services
We provide end-to-end consulting and implementation to guide every step of your journey.
Planning & Strategy: We start with a clear roadmap. Our experts assess your current data landscape, identify high-value use cases, and design a future-proof data platform architecture that aligns with your business goals.
Migration & Integration: We manage the heavy lifting. We migrate your on-premise data warehouses (like Teradata, Oracle Exadata) and complex workloads to Google Cloud. Our deep expertise in SAP and Oracle ensures a smooth, secure, and seamless transition.
AI & Generative AI Pilot Projects: Ready to explore the power of AI? We design and deliver rapid Vertex AI pilot projects. We'll work with your team to build a predictive model or a Generative AI application to prove business value quickly and secure stakeholder buy-in.
Managed Services: We don't just build and leave. Our expert team can operate, maintain, and continuously optimize your entire data platform. We handle security, governance, and pipeline operations so your team can focus on innovation.
Technology & Integration Expertise
We are experts in implementing and certifying against a wide range of global and local standards:
Core Google Cloud Platform:
Google Vertex AI (for Custom & Gen AI)
Google BigQuery (for Data Warehousing & BQML)
Google Looker (for Business Intelligence)
Google Dataflow & Pub/Sub (for Data Pipelines)
Google Dataplex (for Data Governance)
Key Enterprise Integrations:
SAP S/4HANA & ECC
Oracle Cloud Infrastructure (OCI) & Databases
Other Legacy Mainframe & On-Premise Systems
SaaS Applications (Salesforce, etc.)
Ready to Master Your Data?
Move from data chaos to certified control. Contact us today for a GRC assessment.
Forward-deployed AI engineers. Working alongside your team.
Cloudypedians bring cloud, data and AI engineering into the way your business works. Our forward-deployed AI engineers work alongside your domain experts, connect to the systems you use and build practical solutions from discovery through production.
Understand the work
Map the workflow with the people who run it. Choose a use case, establish a baseline and agree what a useful result looks like.
Build in your environment
Connect approved data, integrate AI with existing applications and test quality, security, latency and cost with your teams.
Make it useful in production
Roll out with human review, monitoring and clear ownership. Transfer knowledge and improve against agreed measures.
AI transformation, grounded in your industry
Manufacturing & logistics
Explore knowledge assistants for maintenance teams, document processing and exception triage across supply-chain workflows.
Retail & consumer businesses
Connect product knowledge, customer support and merchandising workflows with AI that fits your operations.
Financial & professional services
Explore document review, research and internal knowledge retrieval with permissions and traceable sources.
Public services & education
Help teams find guidance, handle requests and support learning, with accessible experiences and appropriate human oversight.
We agree data access, domain requirements, evaluation, human oversight and production responsibilities with your team.
Discuss your data platform ↗Make the next conversation useful.
Bring the business outcome, current environment and constraints. We can then define a suitable assessment, implementation or ongoing service.
Business sponsors
Agree the intended outcome, users, priorities and how the work will be accepted.
Technical teams
Review architecture, integrations, data access, security and operational ownership.
Procurement teams
Confirm scope, contracting entity, licensing route, commercial terms and support responsibilities in the proposal.
What shapes your proposal?
Workload complexity, dependencies, data location, delivery responsibilities and operating needs determine scope and timing. Licensing, billing currency, taxes, payment terms and support coverage are confirmed for the relevant market and agreement.
