Datrato, the Datum Analysis platform, consolidates regulatory, complaint, and internal data into one searchable stream. Built for analysts who'd rather analyze than collect.
NHTSA, the Center for Auto Safety, and your internal systems — unified into one searchable interface. Trusted by manufacturers including General Motors.
Insurance · legal discovery · healthcare safety · government compliance. If your data lives across regulatory bodies, Datum can consolidate it.
Most teams spend 80–90% of their time collecting data and only 10–20% analyzing it. Datum flips that — pull any number of internal and external sources into one place, set your parameters, and start with the analysis instead of the assembly.
Enter exact parameters for a specific question, or mine for trends and patterns across every connected source.
Reporting and configuration live in one place — no stitching exports together across tools.
Results are explained so you can act on them. You don't have to be a data analyst to use the answer.
Analysis as a service
Need a deeper read? Datum also works the data for you — plain-English findings you can act on, drawn from experience across litigation, government inquiries, safety recalls, campaigns, and product feedback.
See everything Datrato does →Three steps from disparate data to decision-ready intelligence.
01 / DATA
Datrato integrates internal and external data sources into a single searchable stream. Six automotive-safety sources are pre-connected; your own systems can be added on request.
02 / DELIVERY
One keyword reaches every connected source. Results stream into a browser-based dashboard in seconds, with highlighted matches and saved searches you can rerun or refine.
03 / INTELLIGENCE
Tabular and graphical reports auto-generate on every search. Drill from Manufacturer to Make to Model to Model Year. Built-in proportion and rate analysis.
NHTSA queries in a single GM air bag search
From keyword to detailed report
Auto-refresh across every connected source
Search interface, all data streams
General Motors · Air Bag Complaint Analysis
When GM needed to investigate an emerging air bag complaint pattern across 922 make/model combinations and 10 model years, manual NHTSA searches would have taken months. Datum returned keyword-highlighted reports across every combination in seconds.
922
Combos
10
Model yrs
< 60s
Time
Datum Analysis builds systems that gather, coordinate, and analyze large volumes of data — then present it so patterns are obvious. Since 2010, we've turned disparate regulatory and internal sources into one searchable stream.
Raw data is untapped potential; the value is in how it's organized — to reduce liabilities, surface trends, and decide faster. New data sources can be added or reshaped in days, not months.
Founder, President & CEO
Khaldon J. Saadeh is the founder and chief engineer of Datum Analysis. He earned a B.Sc. in Computer Science from Yarmouk University in Irbid, Jordan, then came to the U.S. in 1995 for postgraduate work at Wayne State. He started the eResearch Analysis consultancy in 2005, and founded Datum Analysis in 2010 to turn scattered data sources into one searchable stream.
See Datum run against your data in a 30-minute demo.