LIba

Available now · Data & reporting

Dashboards your operators
actually trust.

A LIBA data pod builds, owns and maintains your reporting layer — refreshes, fixes, narrates and retires — so the dashboards your team opens on Monday are the ones they still trust on Friday.

Talk to usA day in the life

What we cover

The whole reporting layer. Not just builds.

Dashboard ownership

Build, refresh, fix, retire. Every dashboard has a named owner.

Weekly reporting

Trading, ops, finance — packaged with a written narrative.

Variance analysis

Plan vs actual, cohort vs cohort, week vs week — explained, not just shown.

Ad-hoc analysis

20% of capacity reserved for the question that came up Tuesday.

Data quality

Tests, anomaly checks, freshness monitors — surfaced before stakeholders see them.

Stakeholder requests

One inbox, one queue, one team lead — no more shoulder-tapping the analyst.

The engagement

Six steps. Four to six weeks.

  1. 01

    Discovery

    We audit dashboards, sources, models, current trust level.

  2. 02

    Design

    We design the pod, the dashboard inventory, the weekly rhythm.

  3. 03

    Hire

    We recruit in Bali against your brief. Slowly. Properly.

  4. 04

    Week one in Bali

    Your data lead flies to Bali. We walk every dashboard, every source, every owner — in person. Included in every engagement.

  5. 05

    Shadow

    Two-week parallel run. Your team validates every refresh.

  6. 06

    Operate

    Live, weekly, accountable to a documented SLA.

Sample deliverables

What lands in your inbox.

Every pod ships the same artefacts on the same cadence. No surprises, no chasing.

Weekly trading pack

Every Monday

Revenue, margin, AOV, conversion, channel mix — with a written narrative explaining what moved and why.

Variance commentary

Weekly

Plan vs actual on the metrics that matter, with a short note per variance >5%. Not just numbers — explanation.

Dashboard inventory

Quarterly

Every live dashboard, owner, last refresh, last view, last edit. Stale ones flagged for retirement.

Ad-hoc analysis log

Continuous

Every question asked, who asked, what was found, where it lives. Nothing answered twice.

How we price

Quoted against scope, not seats.

Pricing is built around dashboard count, source complexity, stakeholder count and reporting cadence — and shared in writing after a scoping call.

Tier

Single-team pod

One operator, one team lead share — sized to a single function (trading, ops or finance).

Tier

Multi-team pod

Two or more operators with a dedicated team lead — sized to a cross-functional reporting layer.

Monthly engagements with a 30-day notice period. Indicative numbers shared on the scoping call.

Native to your stack

  • Looker
  • Metabase
  • Power BI
  • Tableau
  • BigQuery
  • Snowflake
  • dbt

A day in the life

AEST, from open to close.

  1. 06:00 AEST

    Overnight refreshes validated. Anomalies flagged to AU.

  2. 09:00 AEST

    Daily ops dashboard sent to operators. Trading view live.

  3. 12:00 AEST

    Stakeholder queue cleared. Ad-hoc questions in progress.

  4. 15:00 AEST

    Mid-week variance pack drafted. Sources checked for freshness.

  5. 18:00 AEST

    Day handover. Tomorrow's priorities logged for AU close-of-day.

Case study · Multi-brand retailer

From forty-one stale dashboards to twelve trusted ones.

A multi-brand retailer moved its reporting layer to a LIBA pod over six weeks. Forty-one dashboards were audited, twenty-nine retired, twelve rebuilt and owned. Monday trading meetings shortened from 90 minutes to 30 — because the numbers stopped being argued.

Illustrative · composite of LIBA pod work

12

trusted dashboards

29

stale dashboards retired

6 wk

from scope to live

Data & reporting FAQ

Asked and answered.

  • Do you build the data warehouse?

    We work in your warehouse — BigQuery, Snowflake, Redshift or Postgres. We don't sell warehouse build. We make the layer above it trustworthy.

  • What's the difference between you and a contract analyst?

    A contract analyst hands you a dashboard and leaves. A LIBA pod owns the dashboard week after week — refreshes, fixes, retires what's stale, and writes the narrative. It stays trusted.

  • Can you cover ad-hoc analysis as well?

    Yes. Every pod has a built-in budget for ad-hoc work — typically 20% of capacity. Larger projects are scoped separately so the recurring work doesn't slip.

  • Do you write SQL or just drag-and-drop?

    SQL-first. Every operator is fluent in SQL and at least one BI tool. dbt is in scope when your stack supports it.

Ready to trust your dashboards again?

30-minute scoping call. No deck. Honest answer on whether we're a fit.

Book a scoping call