
Quickstart Guide
Get production-ready in under 20 minutes. Create your workspace, ingest sample social streams, and view predictive forecasts.
Explore DataFlow Insights Support & Resources to accelerate setup, troubleshoot with precision, and master agentic enrichment workflows across YouTube, Twitter, and LinkedIn.
Start smarter with DataFlow Insights' guided setup designed for technical teams and business users alike. Our step-by-step onboarding walks you from account creation to running your first agentic enrichment workflow.
Link your social sources and destination systems in a single secure flow. Connect YouTube, Twitter, LinkedIn, CRMs, HRMS, or ERPs.
Map incoming social signals to your canonical schema using our AI-assisted mapper. Reduce manual mapping time by up to 80%.
Compose automation with drag-and-drop building blocks: ingest, normalize, enrich, deduplicate, forecast, and publish.
Run a dry-run to see predictive enrichments generated from cross-network patterns with confidence bands and trend graphs.
Choose rollout modes: sandbox, staged, or live. Configure approval gates, anomaly detection thresholds, and rollback triggers.
Track time-to-first-enrichment, enrichment precision, and projected impact so stakeholders see progress at a glance.
Master the platform with crisp, developer-first docs and hands-on tutorials. Built for fast comprehension and immediate action.

Get production-ready in under 20 minutes. Create your workspace, ingest sample social streams, and view predictive forecasts.

Complete, versioned API docs with request/response examples, SDK snippets for Python, Node, Go, and authentication patterns.

Step-by-step guides for enterprise systems: ERPs, HRMS platforms, CRM systems, and data lakes with connector blueprints.

Understand how we derive predictive signals from cross-platform patterns. Model inputs, feature engineering, confidence bands.
Get up and running with concise, high-impact walkthroughs designed for technical teams. Bite-sized videos showing real workflows.
Tap into a forward-thinking network of practitioners, analysts, and builders shaping the future of agentic social data enrichment.
Production implementation combining LinkedIn job changes, Twitter sentiment, and YouTube engagement to score B2B fintech leads. Sharing workflow template and enrichment accuracy benchmarks. Achieved 73% predictive accuracy with 30-day forecast window.
Collection of production-ready templates for enriching candidate profiles from social signals. Includes schema mappings, deduplication rules, and privacy-compliant enrichment flows.
Best practices for setting up automated alerts when engagement patterns deviate from forecast predictions. Covers threshold tuning, false-positive reduction, and webhook integration patterns.
Deep dive into incremental sync patterns for maintaining enriched data in enterprise ERP systems. Schema evolution handling, conflict resolution, and rollback strategies included.
Visualize the future of social intelligence

Multi-horizon forecasts with confidence bands and anomaly markers

Comparative visualization mapping correlated activity across SNS channels

Track stages from impression to conversion with stacked area charts

Network graphs spotlighting high-value nodes and micro-communities
Download production-ready dashboard templates
Find quick answers to common questions about agentic workflows, data enrichment, forecasting accuracy, and enterprise deployment.
Our agentic workflows combine rule-driven automation with autonomous agents that execute multi-step enrichment pipelines across YouTube, Twitter, and LinkedIn-like networks. Define triggers, chain enrichment and forecasting actions, and deploy at scale.
We normalize profile, engagement, and content signals from each source into a unified schema, then apply probabilistic matching, entity resolution, and attribute synthesis to produce enriched business profiles and behavioral forecasts.
Yes. Use our visual workflow builder to add custom extractors, scoring rules, and forecast parameters. Advanced users can inject custom Python snippets or call webhooks to integrate proprietary logic.
Forecasting combines pattern detection across networked signals with time-series models and ensemble learning. Expected accuracy varies by use case and data volume; typical uplift metrics and confidence intervals are presented in each workflow run summary.
DataFlow Insights stores encrypted data at rest and in transit using industry-standard AES-256 and TLS. Role-based access control, multi-factor admin authentication, and per-workflow data retention policies are enforced.
Yes. We provide data subject request tooling, configurable retention and deletion workflows, and processing records to help meet GDPR and CCPA. HIPAA support is available via Business Associate Agreement and controlled deployment models.
Administrators can assign granular roles: Viewer, Analyst, Workflow Editor, Workflow Operator, and Admin. Role permissions control workflow creation, execution, modification, and access to enriched outputs and forecasts.