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DATA ENGINEERING AND AI

Build better data. Create smarter businesses.

Every AI solution, dashboard, and business decision starts with good data.

At PI Analytics, we help organizations bring together data from different systems, prepare it for business use, and build reliable data platforms that can support analytics, AI, and intelligent automation.

Our goal is not simply to move data from one place to another. We want to help businesses turn their data into something they can actually use.

Data engineering

Business data often lives across SAP, databases, cloud applications, spreadsheets, APIs, and other systems. We help bring that information together and create reliable, usable datasets.

  • Data ingestion and integration
  • ETL and ELT pipelines
  • Data cleansing and transformation
  • Data modeling
  • Structured and unstructured data processing
  • Data quality and validation
  • Batch and real-time data pipelines
  • Data migration
  • Data warehouse and data lake solutions

Data preparation for AI

AI is only as useful as the data behind it.

We help organizations prepare, clean, organize, and enrich datasets so they can be used effectively by machine learning models, generative AI applications, and AI agents.

We also help businesses refine and optimize datasets based on the specific problem they are trying to solve rather than simply feeding large amounts of unstructured information into an AI model.

AI agents and business process automation

We build AI agents that can work with enterprise data and business applications to support and automate real business processes.

This can include agents that retrieve information, analyze documents, validate data, identify exceptions, recommend actions, and support workflows that traditionally require significant manual effort.

Our focus is on practical AI that solves a business problem. Connect the data. Understand the process. Automate where it makes sense. Keep people in control where judgment matters.

Cloud data engineering

We help organizations design, build, migrate, and modernize data platforms across leading cloud environments, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud, as well as modern data platforms and cloud-native services.

  • Cloud database architecture
  • Data warehouse and data lake architecture
  • Cloud migration
  • Data pipelines and orchestration
  • Data integration
  • Data transformation
  • Performance optimization
  • Data platform modernization
  • Analytics and AI-ready data architecture

From raw data to business impact

  1. Raw Data
  2. Trusted Data
  3. Analytics
  4. AI
  5. Intelligent Automation

At PI Analytics, we see data engineering as the foundation for analytics and AI.

Whether you are modernizing a cloud data platform, preparing enterprise data for AI, connecting SAP data with other systems, or building AI agents to automate business processes, PI Analytics can help you build the data foundation to make it possible.

Build the foundation. Trust the data. Turn intelligence into action.

Let's talk about your needs

Tell us about your business challenge using our contact form, and we'll get back to you.

Contact us