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 whatever dashboards you want, in whatever BI tool you use, on top of your full conversation history.

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Real-time stream + scheduled batch · Snowflake · BigQuery · Databricks · Looker · Power BI · Tableau
Sub-second stream latency
Schema-versioned backwards-compat by default
5+ BI tools with native connector
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. Latency: sub-second.

Warehouse batch

Scheduled dumps to BigQuery, Snowflake, Databricks, Redshift. Hourly / daily / monthly. Schema-on-write or schema-on-read. Your warehouse, 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
  • Sub-second delivery
  • Schema-versioned events
  • At-least-once + dedupe
  • Replay from offset

Scheduled dumps to BigQuery, Snowflake, Databricks, Redshift. Conversation, utterance, intent, sentiment, outcome tables. Schema-on-write (typed) or schema-on-read (JSON). 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; major-version bumps with migration windows. Documented field-by-field. Sample queries for common use cases.

  • Versioned + documented schema
  • Backwards-compatibility guarantee
  • 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.

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ML/AI team

Custom models

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

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Real-time alerting

SLA + escalation

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

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CFO / RevOps

Cost-per-resolution

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

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Compliance

Audit trail

Conversation events as the audit-grade source of truth. 7-year retention configurable.

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Product

Feature analytics

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

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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
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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 (sub-second latency) 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.

Cloud: 1-2 weeks for connecting to a single warehouse with standard schema. 3-4 weeks for multi-target (warehouse + stream + BI) with custom schema mapping. Most of the work is in your team's warehouse / BI side, not on the EnableX side.

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