Build & Modernize
The governed foundation AI runs on.
A trustworthy data platform is the critical path to dependable AI. We treat data as a product, built intentionally and governed across business, process, and technology, so every human- or AI-led decision runs on clean data.
Where clients get stuck.
- AI initiatives stall on data nobody trusts
- Data silos block analytics and self-service
- No clear owner, steward, or policy for critical data
- Governance gaps create regulatory and AI-specific risk
Data Platforms Case Studies
Where Presidio built the governed data foundation behind AI and analytics.
Built through years of M&A, Moove needed to unify eight companies’ ERP systems and data. Presidio modernized its data architecture on Microsoft Azure, giving Moove full order-to-cash visibility and real-time insight into its key metric: on-time delivery. “There was an ‘AHA’ moment. I now see why I need to have my data in the cloud.”
Data Platforms Benefits
The key to enabling AI.
Presidio assesses maturity across technology, process, and policy, then delivers a prioritized, actionable roadmap.
Data fit to act on.
We improve accuracy and integrity at the source and in analytics, with validation, quarantine, and observability built into the pipeline, so decisions and models rest on data you can trust.
Core data services.
We build and run the platform, warehouse, and model ops, for a modern foundation that turns raw data into a usable asset.
Protected by design.
Trust and compliance are engineered in. Platform security, hardening, access control, masking, encryption, and policy-based management, aligned to privacy regulations.
Prepped for generative and agentic AI.
We define what generative AI, agentic systems, and machine learning need from your data: better quality, metadata, and stewardship, and integrate governance with Responsible AI.
Designed for AI traffic.
AI workloads generate traffic patterns that legacy three-tier networks were never designed to carry. We design network fabric for AI throughput from the start.
News & Insights
Rethinking the Data Maturity Model in the Age of Generative AI
For nearly two decades, the classic data maturity model has been focused on descriptive business intelligence (what happened) -> predictive (what might happen) -> prescriptive (what should happen and why). These insights have guided organization’ data roadmaps.
The IPEDS Wake-Up Call – A Data Modernization Moment for Higher Education
The latest Integrated Postsecondary Education Data System (IPEDS) executive order reveals a sobering reality that university leaders can’t ignore: the federal agency responsible for education data analysis now has only three staff members remaining.
Accelerate AI Value with a Data Product Strategy on Snowflake
Since the December 2022 launch of ChatGPT, the constant question that C-level execs ask their data and IT organizations is, “What value can GenAI bring to our business?”
Data Platforms FAQs
What data leaders ask before committing to a governance program or a data platform build.
Weeks, not the typical 18-to-24-month build. Presidio delivers product-first: the first data product ships live, and the platform accrues beneath outcomes already in production. Each release funds the next.