Service
Analytics & AI-Ready Data
Finance, operations, and a copilot should quote the same revenue. We put reporting and AI on a certified metric layer, not a fourth version of the number.
Stack
SnowflakedbtPythonSQLAWSAirflowTableau / Power BIThe work
How we help
The argument usually is not the chart tool. Tableau, Power BI, and Looker each calculate a metric the warehouse never settled, and an agent repeats whichever join it found first.
We define the metric once, on certified marts, with the semantic context an analyst or a copilot is allowed to use.
When this is the engagement
Two functions report different revenue, or a pilot quotes a number nobody has certified.
Contracted and invoiced by Havilah Technologies LLC. Delivery in your warehouse and your git.
- 01Write the metric definition the business will actually defend.
- 02Build certified marts and the semantic layer reports should read.
- 03Point Tableau, Power BI, or Looker at that layer instead of a private workbook.
- 04Document what a copilot or agent may quote, and what it may not.
- 05Leave tests so a model change cannot silently create a second revenue.
Typical work
What an engagement looks like
01
Metric definition
One written meaning for the number finance and operations both use.
02
Certified marts
The tables both sides are allowed to call source of truth.
03
BI on that layer
Workbooks that read the mart, not a copied calculation.
04
Agent boundary
What a copilot may quote, and the grain it must use.
What you receive
Deliverables
- A written metric definition
- Certified marts reports can share
- BI pointed at that layer
- A documented boundary for AI tools
Capabilities
In scope
- One metric layer for finance and operations
- Certified marts and semantic context
- BI workbooks on that layer
- A gate for what an agent may quote
Questions
- Do you replace our BI tool?
- No. We put Tableau, Power BI, or Looker on a certified mart so the tool is not inventing a second metric.
- When is data ready for a copilot?
- After the business has agreed which number is real. An agent does not settle that argument.
- What if the two reports already disagree?
- The Contested Metric Diagnostic names which figure is valid. This engagement builds the layer that keeps it that way.
Related services
Governance & Data Quality
Tests, lineage, and named owners, so accuracy holds at close, at audit, and after we leave.
Contested Metric Diagnostic
Two reports, two answers? We trace the metric to its source and give you a written ruling plus SQL you can re-run.
Data Engineering & Cloud Platforms
Pipelines and platforms that move ERP, CRM, files, and APIs into a warehouse your team can run.
Discuss Analytics & AI-Ready Data.
Analytics & AI-Ready Data is contracted under Havilah Technologies LLC. Tell us the stack, the systems, and the outcome.