Case study · Technology · Data & operations
A B2B SaaS companyMillions of rows, answerable in Slack.
The answers were in the data; getting them meant a query, an analyst, and a wait. We built a knowledge graph connected to the company's systems of record, so any employee can ask a question in Slack and get an answer drawn from millions of rows, without writing SQL or filing a ticket.
The problem
The company's data lived across systems of record with millions of rows, and only a handful of people could query it. Everyone else filed a request and waited, so most questions never got asked at all.
How many accounts on the enterprise plan haven't logged in this month?
When answering a question takes an analyst and a ticket, people stop asking. A knowledge graph over the real data changes that.
What we shipped
A knowledge graph wired into the systems of record, with Slack as the front door.
A knowledge graph
Models how the company's entities and records relate, so questions resolve across millions of rows instead of one table.
Connected to the SOR
Reads live from the systems of record, so answers reflect the current state of the business, not a stale export.
Ask in Slack
Employees ask in plain English where they already work, and get the answer back in the thread.
Outcomes
What changed after the rollout.
Data for everyone
Anyone can answer their own question in seconds, so decisions run on real numbers instead of gut feel or a week old report.
Analysts unblocked
Routine lookups stop landing in the data team's queue, freeing them for the analysis that actually needs an expert.