
Automated data systems that extract, validate, and transform your operational data into reliable business intelligence — customized to your processes, maintained as an ongoing service.
From Scattered Data to Trustworthy Intelligence
Most operations teams have data everywhere — spreadsheets, databases, systems — but no single source of truth they can trust.
We build custom operational intelligence infrastructure that:
Extracts data automatically from all your sources
Validates quality at every step with automated checks
Transforms raw data into reliable business intelligence
Maintains and evolves the system as your needs change
You get: Automated reporting, validation checks, audit trails, and dashboards — backed by ongoing infrastructure management.
Not Consulting
We don't write reports and recommendations. We engineer and maintain the actual infrastructure that powers your operational intelligence.
Not Off-the-Shelf SaaS
We don't sell you generic software and leave you to configure it. We build a system specifically engineered for your data sources, processes, and decision-making needs.
Not Internal IT
You don't need to hire data engineers or maintain the expertise in-house. We build it, run it, and evolve it as your needs change.
Our proprietary operational intelligence infrastructure:
Automated Extraction
Scheduled data collection from all your sources — Excel files, databases, systems — without manual effort
Continuous Validation
Quality checks and error detection at every step using proven validation frameworks (Soda, data profiling)
Unified Truth Layer
Single validated source of operational data with full audit trails and lineage tracking
Intelligent Delivery
Dashboards, reports, and insights that update automatically and alert you to issues
We Work With a Select Number of Companies
Operations-focused businesses who need automated, validated operational intelligence but don't want to build internal data engineering teams.
You're a good fit if:
You have operational data scattered across multiple sources
Manual reporting is laborious and data is always out of date
You need validation and audit trails but don't have them
You want confident decisions based on reliable intelligence
We're selective about who we work with — we want to deliver excellent work and maintain long-term partnerships with companies that value operational rigor.
Case Study — Turning Chaos Into Clarity
A national manufacturer depended on hundreds of Excel workbooks across plants — each with different formats, formulas, assumptions, and manual data entry. Leaders needed operational visibility, but extracting answers meant hours of digging, reconciling, and second-guessing the data.
Praxum designed an automated data-architecture pipeline that:
Crawls and extracts key operational, quality, and throughput metrics from every workbook, every cycle
Validates, standardizes, and reconciles missing, conflicting, or stale inputs before they reach decision-makers
Generates action-ready outputs, including quality alerts, operational task lists, and data-hygiene findings
Feeds a unified executive dashboard that surfaces trends, bottlenecks, anomalies, and leading indicators in real time
The Impact:
One governed, validated source of truth replaced scattered spreadsheets
Decisions now rely on consistent, trustworthy data rather than detective work
The organization moved toward standardized work without disrupting existing processes
Continuous improvement became repeatable, measurable, and scalable
For organizations buried in spreadsheets, Praxum turns data chaos into decision-grade intelligence.
Case Study — Designing Clarity Before Launch
A large manufacturer was preparing to open a new operation — and leadership believed twelve additional technicians would be required to hit projected demand. The plan looked sound in spreadsheets, but the underlying workflow had never been tested as a real system.
Praxum built a lightweight, process-flow simulation that revealed:
Artificial staffing demand driven by idle zones, hand-off friction, and overlapping responsibilities
Bottlenecks caused by equipment placement and task sequencing
Hidden capacity that could be unlocked through role and workflow redesign
The Impact:
~$750,000 in avoided annual labor spend
A validated, scalable workflow before launch
A reusable decision model for future layout and volume changes
Data and design-driven decisions, not instinct-driven ones
Praxum built the model for of operational clarity — seeing the system before you build it.
Operational Expertise Meets Data Engineering
Praxum is led by a Lean Six Sigma Master Black Belt with deep expertise in data engineering and automation.
We combine operational understanding with technical capability — a rare combination that lets us build systems that actually work in real operational environments.
We don't just understand databases. We understand factory floors, process flows, and what "good" looks like in operations.
If you’d like to discuss an operational challenge, a plant initiative, or explore whether Praxum’s CORE Framework fits your environment, reach out anytime.