DataGlue
THE GLUE CONSOLE

Ask what matters. See why. Decide what happens next.

Most insights die in a dashboard nobody opens. The Glue Console weaves your data and analytics into the daily decisions of your core teams, and captures those decisions for continuous learning.

ONE SHARED PICTURE

The customer story, the evidence, and the next move.

DataGlue
Sarah Chen
sarah.chen@gmail.com
OVERVIEW
Visits18
Things done146
Emails opened9
Sales notes6
Product actions22
Last visit2h ago
CONNECTED DETAILS
Website visit
Seen 2h ago
sarah.chen@gmail.com
Confirmed email
All history
Website
Sales
Product
Email
APR 30, 2026

Looked at pricing

/pricing

10:24AM

Opened the ROI email

ROI breakdown

10:21AM

Used the analytics dashboard

Analytics dashboard

9:32AM

Read the retail case study

/retail-success

9:15AM

Returned to the retail case study

/retail-success

9:08AM

WHY THE CONSOLE

The console your team keeps. Not another dashboard they abandon.

01

Ask in plain English

Ask the way you would ask the smartest analyst on your team. No SQL, no report queue, no waiting for someone else's sprint.

YOU

What did customers do in the week before they renewed?

GLUE CONSOLE

Renewing accounts went back to pricing and opened the ROI summary in the five days before they renewed.

Identity confirmed47 timelines3 sources
02

Every answer shows its evidence

Inspect the people, moments, sources, and results behind an answer before the business acts on it. Confidence stays visible, uncertainty included.

EVIDENCE · SARAH CHEN4 of 146
Renewed the annual planBilling
Opened the ROI summaryEmail
Revisited pricingWebsite
Invited two teammatesProduct
03

Decisions become data

Each decision is captured with its evidence and its result, so the next one starts from what the business already learned, not from scratch.

DECISION CAPTURED

Move the onboarding check-in from day 7 to day 3.

OwnerCustomer team
Evidence12 renewal timelines
DecidedApr 30, 2026
OutcomeActivation, tracked weekly
04

Our agent layer, or yours

Fuel the models you already use with connected history and meaning, not a loose pile of exports. Your data is always yours. If you leave, it leaves with you.

OpenAIClaudeGeminiYour LLM
CONTEXT PACKETyours
{
  "customer": "sarah.chen@gmail.com",
  "identity": "confirmed",
  "history": "146 events · 4 sources",
  "outcome": "renewed · Apr 30"
}
START WITH ONE QUESTION

Bring the question your tools answer differently.

Choose one decision where the picture is incomplete. We connect the context behind it, and the console puts it to work with the evidence in view.

  • Which decision still starts from an incomplete picture?
  • Where do teams read different versions of the same customer?
  • What evidence should be visible before the business acts?
  • Which answer should the whole company share?