For data teams

Hear about late data from your own tools, not from a stakeholder.

You own the pipelines, so you own the Monday morning message that says the numbers look odd. Tidewater makes sure you are the first to know, with the cause and the affected dashboards already attached.

The problem

Green jobs, wrong numbers.

Your orchestrator says every job succeeded. Your tests pass. And a director is asking why the revenue dashboard shows Friday. The job ran, on yesterday's data, and nothing in your stack is built to notice.

The usual fixes are a pile of freshness queries, a shared alert channel that everyone mutes, and a wiki page of who to ask. They work until someone is on holiday.

Data teams tell us the hard part is not detection. It is knowing who owns the table, what depends on it and whether it matters this morning.

The outcome

Every table has an owner, a deadline and a known impact.

Late data found first

Freshness and volume checks on every pipeline, with a median time to detect of four minutes.

Impact in the alert

Each alert lists the downstream models and dashboards, so you can decide in a minute whether it matters.

A quieter on-call

Alerts go to the owner, and low severity items wait for one digest instead of waking someone at 03:00.

In practice

A week with Tidewater.

  1. Monday: connect

    Connect Airflow or Dagster, dbt and your warehouse. Import owners from your existing tags.

  2. Tuesday: set deadlines

    Write a deadline for the ten tables people look at first. Tidewater learns the rest from history.

  3. Midweek: first catch

    A feed arrives late. The owner is told in their own channel, with the dashboards it touches.

  4. Friday: review

    The weekly review moves from what happened to what we change so it cannot happen again.

Case study

Northfold Freight

We used to learn that the shipment tables were stale from a customer email. Now the first message is in our own channel, and it already names the dashboards it affects.

Marisol Vance, Director of Data Platform, Northfold Freight
Read the Northfold Freight story
  • 6 min Median time to detect late data
  • 71% Fewer late data incidents reaching customers
  • 4 Hours a week saved on triage

See your own pipelines in Tidewater

Book a 30 minute walkthrough. We connect a sample of your setup and show you what it would have caught last month.