BI Exports & Data Warehouse Integration

Your conversations belong in your data warehouse.

Your data team wants conversation data in the warehouse, not behind a vendor dashboard. EnableX BI Exports streams every conversation event (start, intent, sentiment turn, escalation, outcome) to your warehouse in real time, plus scheduled batch dumps for historical analytics. Build your own dashboards, in the BI tool you already use, on your full conversation history.

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Real-time stream + scheduled batch · Snowflake · BigQuery · Databricks · Looker · Power BI · Tableau
Near real time event stream
Schema-versioned backwards-compat by default
Major BI tools with native connectors
On-prem stays inside your DC

What sets it apart

Real-time event stream

Every conversation event (start, intent classification, sentiment turn, KB lookup, escalation, outcome) pushed to Kafka / Pub/Sub / Kinesis as it happens, in near real time.

Warehouse batch

Scheduled dumps to BigQuery, Snowflake, Databricks, and Redshift, hourly, daily, or monthly. Choose schema-on-write or schema-on-read; it's your warehouse and your retention.

BI native

Native connectors for Looker, Power BI, Tableau, Sisense, Metabase. Pre-built dashboards as starting points; your BI team customises from there.

How it works

Push every conversation event to Kafka / Pub/Sub / Kinesis: conversation start, customer profile, every utterance and classification, KB lookup, escalation trigger, conversation outcome. Use for real-time alerting and ML pipelines.

  • Kafka + Pub/Sub + Kinesis
  • Near real-time delivery
  • Schema-versioned events
  • At-least-once + dedupe
  • Replay from offset

Scheduled dumps to BigQuery, Snowflake, Databricks, and Redshift, with conversation, utterance, intent, sentiment, and outcome tables. Choose schema-on-write (typed) or schema-on-read (JSON), with configurable retention.

  • BigQuery + Snowflake + Databricks + Redshift
  • Hourly / daily / monthly
  • Typed schema or JSON
  • Configurable retention
  • Backfill on demand

Pre-built connectors for Looker, Power BI, Tableau, Sisense, Metabase. Pre-built dashboards (volume, containment, CSAT, sentiment) as starting points. Your BI team customises from there.

  • Looker + Power BI + Tableau + Sisense + Metabase
  • Pre-built dashboard packs
  • Custom on top
  • Embed in your portal
  • Row-level security via your IdP

Versioned schema for every export, backwards-compatible by default, with major-version bumps carrying migration windows. Every field is documented, with sample queries for common use cases.

  • Versioned + documented schema
  • Backwards-compatible by default
  • Migration windows for major bumps
  • Sample queries
  • Field-level lineage

Use cases

Data team

Centralised analytics

Conversation data in the warehouse alongside CRM, billing, product. Single source.

Conversation intelligence
ML/AI team

Custom models

Train churn, fraud, propensity models on conversation data plus your other features.

Conversation intelligence
Real-time alerting

SLA + escalation

Real-time event stream piped to Kafka piped to alerting stack. Wake up when SLAs slip.

Conversation intelligence
CFO / RevOps

Cost-per-resolution

Tie conversation events to revenue and cost. Compute cost-per-resolution per channel.

Conversation intelligence
Compliance

Audit trail

Conversation events as the audit-grade source of truth. Long-term retention configurable.

Conversation intelligence
Product

Feature analytics

Tie conversation events to product usage data. Which features drive support volume?

Conversation intelligence

Explore related

Conversation Intelligence

The full intelligence platform.

Conversation
Capability

Unified Dashboards

EnableX dashboards alongside your BI exports.

Unified
Capability

Conversation Analytics

Pre-built analytics that exports drive deeper.

Conversation
Build for me

Professional Services

We design the export schema and integrate with your warehouse.

Professional

FAQ: BI Exports

Every conversation event: conversation start (channel, customer profile, intent), every utterance with classification (intent, sentiment, entity), every KB lookup with retrieval results, every escalation trigger, conversation outcome (resolved / escalated / abandoned), CSAT signal, agent actions. Schema versioned and documented.

Both. Real-time event stream to Kafka / Pub/Sub / Kinesis (near real time) for live alerting and ML pipelines. Scheduled batch (hourly / daily / monthly) to BigQuery / Snowflake / Databricks for historical analytics. Most customers use both.

Looker, Power BI, Tableau, Sisense, Metabase. Pre-built dashboard packs (volume, containment, CSAT, sentiment, escalation) as starting points. BI team customises on top.

Semantic versioning. Backwards-compatible field additions are minor bumps (no breakage). Field removals or type changes are major bumps with 90-day deprecation windows. Field-level lineage documented in the EnableX docs.

Yes. The full export pipeline runs inside your DC for sovereign-data deployments. Data never leaves your perimeter. Required for BFSI, government, and healthcare under data-residency rules.

Connecting a single warehouse with the standard schema is quick; multi-target setups (warehouse + stream + BI) with custom schema mapping take longer. Most of the work is in your team's warehouse / BI side, not on the EnableX side.

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