Data & AI Platform BigQuery

Unleash the value of your data - for lightning-fast analyses, intelligent insights and data-driven decisions at petabyte scale.

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Big data as an opportunity

Raw Material for Growth and Innovation

We are drowning in data from countless sources! Legacy data systems are often slow, expensive and rigid. But in this data deluge lies immense potential: understand it better, optimize processes and make smarter decisions. What you need is a modern, flexible data platform that grows with your organization. Google BigQuery is precisely that – the solid foundation for valuable data insights and an agile company culture.

Serverless data warehouse

Google BigQuery

Google BigQuery is a fully-managed, serverless data warehouse that can analyze gigantic datasets (terabytes to petabytes) extremely fast at a fraction of the cost. As the core of the Google Cloud Data Analytics Platform, it is easy to set up and operate, allowing you to focus on extracting insights rather than managing infrastructure, so you can concentrate fully on gaining new knowledge.

In addition to a flexible pricing model, the ability for real-time analysis, multi-cloud analysis and the creation of ML models via Gemini in BigQuery, it offers integrated security and governance. Benefit from robust security based on Google Cloud, end-to-end data encryption (at rest and in transit), Identity and Access Management (IAM), VPC Service Controls and detailed audit logs.

Your benefits

The Added Value of Google BigQuery

The use of Google BigQuery goes far beyond mere data storage and offers your company tangible strategic advantages:

Data for Everyone

Simple access to data and analysis tools for everyone in the organization, independently and scalable.

Fast Insights

Gain insights in seconds for better, faster business decisions.

Cost Savings

Significantly lower costs thanks to the serverless architecture - you only pay for what you actually use.

Boundless Growth

Scales automatically with your data and requirements - without limitations.

AI Integrated

Use machine learning directly in the data warehouse - for predictive and AI apps, without complex infrastructure.

Data Protection

Top Google Cloud security and easy compliance with data protection and compliance requirements.

Multi-Cloud Capable

Unified data view and analysis, even if your data is distributed across different clouds (thanks to BigQuery Omni).

Data Preparation

Easily load, transform and prepare data from any source for analysis.

Companies that understand how to effectively collect, analyze and turn data into actionable insights gain a decisive competitive advantage.

Matthias Krenzel Head of Data & AI Google Cloud

Google BigQuery Use Cases

A business meeting setting where one person points to a data dashboard displayed on a laptop screen, which shows various charts and graphs. Paper documents with data are on the table, along with a calculator, a light green heart-shaped plant, and a vintage-style alarm clock.

Real-time Business Intelligence and Reporting

Analyze data in real-time across your organization to gain insights and make data-driven decisions.

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360-Degree Customer Analysis and Personalization

Consolidate data from various sources like web, mobile, CRM, and transactional systems to create a unified customer view and deliver hyper-personalized experiences.

A close-up of business documents and charts, including a large blue and green bar graph, financial spreadsheets with numbers, and a slip of paper with the bold black text "predictive analytics". A green highlighter is marking a row of data on the spreadsheet.

Predictive Analytics and Forecasting

Leverage machine learning on structured/semi-structured data for predictive modeling, anomaly detection, demand forecasting to optimize business processes and decision-making.

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IoT Data Analytics and Predictive Maintenance

Ingest, process and analyze large volumes of sensor data from IoT devices and connected equipment to monitor performance, predict failures and schedule timely maintenance.

Two women, viewed from behind, are collaborating intensely in front of a large whiteboard covered with handwritten notes, charts, graphs, flowcharts, and sticky notes, representing a detailed business or marketing planning session involving data analysis.

Marketing and Sales Analytics

Analyze online and offline customer interactions, digital marketing campaigns to better understand customers, optimize marketing efforts and increase conversions.

Two individuals wearing safety vests and hard hats stand in a shipping yard, surrounded by tall stacks of multicolored cargo containers.

Logistics and Supply Chain Optimization

Streamline operations by analyzing supply chain, logistics and transportation data to optimize inventory, reduce costs and improve service levels.

A laboratory scientist, wearing a white protective suit and bright blue gloves, works with a microscope and a syringe, drawing liquid from a small vial and dispensing it into a beaker filled with blue liquid, symbolizing scientific research, pharmaceutical development, or clinical trials.

Genomics and Life Sciences Research

Accelerate research and drive innovations in areas like precision medicine, disease research and drug discovery by analyzing large genomic datasets.

A close-up view of a dark computer screen displaying a financial or stock market candlestick chart with green and red lines, numbers, and vertical bar graphs, symbolizing real-time data analysis, trading, and financial monitoring.

Financial Analysis and Research

Analyze large volumes of stock trade, transaction data to gain market insights, build quantitative models for portfolio optimization and risk management.

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Gaming Analytics and Risk Management

Analyze user interactions, gameplay telemetry data to optimize gaming experience, detect cheating/fraud patterns and manage risks.

Data protection obligations

Your Google BigQuery, Your Data

Data belongs to the customers, not Google.

Protection against insider access to data.

Google never sells customer data to third parties.

Data is not used to train Google's own models.

Google does not use customer data for advertising.

Your data is not used to train models for other customers.

A selection of our services

From Data Foundation to Successful AI Initiatives

Data Foundation

With our Data Foundation on Google Cloud, take the next step in your transformation journey. We'll help you transition to an agile, data-driven operating model across different business areas.

In-depth analysis of existing data sources.
Comprehensive support for migrating your data to the cloud.
Implementation of advanced data pipelines and reporting tools.
Provisioning of your Data Warehouse and Business Intelligence infrastructure.

Let's talk about Data Foundation

Agentic AI with Gemini Enterprise

With our modular Gemini Enterprise jumpstart, take the next step towards Agentic AI. Let us assist you in meeting the biggest challenges of the present time. Gemini Enterprise will help your teams work more productively and efficiently.

Setup of Gemini Enterprise.
Integration of your systems.
Development of individual data connectors.
Consulting and training for your employees.

Let's talk about Agentic AI

Google Cloud Data & AI Consulting

Leverage the data in your company for innovation and growth with the "Data to Value" approach of PCG. We'll help you make the most of the Google Cloud's vast capabilities to manage and analyze large data sets, implement AI models and develop tailored use cases to drive impact.