Turn fragmented information into clear analysis, source-linked evidence and decisions your team can review.
Interactive examples. No upload needed.
Your industry. Your data. Evidence connected.
Built around your information.
Connect the sources. Investigate the signal. Communicate what matters.
Bring structured records, documents, images and mixed-format datasets into a source-preserving workspace. Review extracted content, including OCR.
Explore measures, compare periods and trace calculations back to the underlying records. Keep missing values and sample coverage visible.
Build editable reports and slides. Share findings with their evidence attached, with Excel, CSV, PDF, Word and PowerPoint exports.
Jan – Dec 2024 · illustrative data
revenue_2024.csv · 12 illustrative records
| Month | Revenue | Source row |
|---|
ILLUSTRATIVE REPORT / 2024Revenue rose across the year, with a dip in September and a stronger final quarter.
The sample begins at $20,000 in January and ends at $72,000 in December. These are observed values, not a forecast.
Every finding starts with a source.revenue_2024.csv · rows 2–13
Editable narrative · source references · export-ready structure
01 / 03Illustrative data. Actual workflows.
360DataX is in active development. Interactive examples use illustrative data. Request a guided demo to explore your own workflow.
Differentiate totals, distributions and rates. Review missing values, sample sizes and currency compatibility before interpreting a result.
Keep periods, cohorts and source coverage in view. Visible gaps help your team judge what a comparison can support.
Review source snapshots and code or model versions. Reproduction checks support the review of deterministic outputs.
Explore a transparent example: the records, the calculation and the next question to ask.
01 / Connect the records
02 / Find the signal
03 / Follow the evidence
Trace the finding to its sample sources and review the calculation for yourself.
Illustrative sample inputs
| Sample source | Source detail |
|---|
The context changes. The need to understand your information does not.
Shape analysis around your measures, terminology, time periods and evidence. These examples are starting points, not product boundaries.
Bring the information your industry works with: structured records, documents, images, scans and mixed-format datasets. Source suitability is reviewed for each workflow.
Bring us your use caseReconcile revenue and costs, compare periods and investigate performance with the underlying records in view.
Revenue, cost and performance analysisCompare institutional data, research records and peer groups. Keep cohort definitions, time periods and source coverage visible when interpreting results.
Benchmarking and research analysisExplore service activity, resource use and research datasets. Bring operational records and supporting documents into a connected view for review.
Operational and research insightsExamine production, quality, inventory and supplier records. Compare measures across sites and periods, then document the evidence behind operational patterns.
Production, quality and supply analysisConnect sales, customer activity, inventory and service records. Explore patterns by category, location and period, and turn the findings into reports your team can use.
Sales and service performanceAnalyze consumption, asset records, project activity and public datasets. Compare performance in context and communicate findings with traceable sources.
Resource and program analysisBring the data and questions that define your work. Shape analysis around your measures, terminology, time periods and evidence, across supported sources and industry-specific information.
Explore your industry-specific workflowControl the environment. Understand the evidence. Choose how AI helps.
Self-hosted spaces and scoped permissions keep access under your control.
Preserved sources, calculation references and version history support review.
Optional local models or explicitly consented hosted assistance. Core calculations do not depend on AI.
Bring a use case. Invest in the platform. Sponsor a measurable development milestone.
Teams repeatedly reconcile scattered records before they can act.
Sources, calculations and communication stay in one workflow.
Industry-specific workflows build on a shared analysis foundation.
See how the workflow fits your data. Shape a focused demo or pilot.
Discuss the product direction, development priorities and validation milestones.
Support a focused pilot, research workflow or development milestone.
In active development.
Help shape the next milestone.