AnalyticsComing SoonReviewed February 2026

Sherlock Calls
for Looker

Your call investigations need business context. Sherlock will connect to Looker so you can ask questions combining real-time call data with your BI metrics — all from plain English in Slack.

TL;DR — What this integration will do

  1. 1

    Sherlock Calls will connect to your Looker instance via API credentials — read-only, no LookML changes, no Explore modifications. Your team will be able to pull Looker data into call investigations from Slack in under 2 minutes.

  2. 2

    You will be able to ask 'What do our call volume KPIs look like in Looker compared to last week?' or 'Pull the customer satisfaction scores for accounts that had call failures today' — answered in under 5 seconds.

  3. 3

    Sherlock will query Looker Explores and dashboards to surface business metrics during call investigations — giving your operations team context that turns call data into business decisions.

Gartner Leader

Magic Quadrant BI & Analytics 2025

Google Cloud

Native BigQuery integration

0

Explores to open manually

About Looker

What is Looker?

Looker is Google Cloud's enterprise BI platform, recognized as a Leader in the 2025 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms and the 2025 IDC MarketScape for Business Intelligence. Built natively on BigQuery, Looker provides semantic-layer modeling, embedded analytics, and AI-powered data exploration — trusted by customers including MLB, Wayfair, Wix, and Sky Group.

About Sherlock Calls

What is Sherlock Calls?

Sherlock Calls is an AI call detective that lives in your Slack workspace. It connects to voice providers, CRMs, and ad platforms, then answers any question about your calls in plain English — in under 5 seconds, with no code, no new dashboards, and no SDK required. Think of it as a senior analyst always on call, inside the tools your team already uses.

Planned Setup

Connect Looker to Sherlock in 2 minutes — when it launches

No code, no webhooks, no new dashboards. Here's how setup will work.

  1. 1

    Connect Looker via API credentials

    Add your Looker API client ID and secret in Sherlock Calls — read-only access to your Looks, Explores, and dashboards. No LookML changes or model modifications required.

  2. 2

    Add Sherlock to Slack

    Install the Sherlock Calls Slack app to your workspace. Your operations and analytics team can pull Looker data into conversations from any channel immediately.

  3. 3

    Run your first BI-enriched query

    Ask 'What does our call center performance Look show for this week?' — Sherlock queries Looker and your telephony data and returns a correlated, sourced answer.

Future Use Cases

What teams will ask Sherlock about Looker

  • SC
    What do our call center KPIs look like in Looker compared to last week?
  • SC
    Pull the customer satisfaction scores for accounts that had call failures today
  • SC
    Which Looker dashboard shows call volume by region and channel?
  • SC
    What does our Looker cost-per-call metric show for this quarter vs last?
  • SC
    Show me the Looker data for our top 10 call volume customers this month

Planned Features

What you'll be able to do with Looker

Look & Dashboard Access

Pull any saved Look or dashboard into Slack during a call investigation. Get the BI context you need without leaving the conversation.

Explore Queries

Run natural language queries against your Looker Explores. Ask business questions about call KPIs that are answered with your modeled, governed data.

KPI Correlation

Correlate call anomalies with business KPIs from Looker. Understand whether a call spike is reflected in your operations metrics and revenue dashboards.

Customer Segmentation

Pull Looker customer segment data into call investigations. Understand the business profile of callers without switching between tools.

Operational Metrics

Surface operational KPIs — handle time targets, SLA adherence, cost metrics — from Looker during live call investigations in Slack.

BigQuery Correlation

For teams using Looker on BigQuery, Sherlock can correlate call data with your warehouse-scale analytics models for deep business intelligence.

AI Tools

6 specialized tools, zero configuration

Sherlock will pick the right tool automatically. You just ask in plain English — the AI will know which APIs to call and how to correlate the results.

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FAQ

Common questions about Sherlock + Looker

How does Sherlock Calls connect to Looker?

Sherlock connects to your Looker instance via API client credentials with read-only access to Looks, Explores, dashboards, and metrics. No LookML changes, no model modifications, and no Looker admin configuration is required. Setup takes under 2 minutes.

Can Sherlock Calls query Looker Explores in plain English?

Yes. Sherlock can run queries against your Looker Explores using natural language — ask 'Show me call volume by region from Looker this week' and Sherlock returns the result without you opening Looker.

Can Sherlock correlate Looker data with Twilio or Genesys call data?

Yes. Connect Looker alongside your telephony or contact center provider, and Sherlock can combine call-level data with your Looker business metrics in a single investigation.

What Looker data can Sherlock Calls access?

Sherlock can access Looker Looks, dashboards, Explore query results, and content metadata. All data is queried via the Looker API in real time — nothing is replicated or stored.

Does Sherlock work with both Looker (Google Cloud) and Looker Studio?

Sherlock connects to the Looker platform (formerly Looker Enterprise, now on Google Cloud). Looker Studio (formerly Data Studio) uses a separate API and is available as a separate integration.
Coming Soon

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