Data lives in silos
Finance, operations, and IT each keep their own extract. Nothing reconciles, and nobody owns the gap between them.
Data Engineering & Analytics Consulting
Uncover the hidden opportunities
Your data already holds the answer. Ecce Insights brings scattered, disagreeing data sets together into one source of truth, then turns it into analytics your teams actually make decisions with.
- Years in data & finance
- 0+
- Enterprise scale
- Microsoft & Amazon
- Engagement model
- Senior, hands-on
The problem
Three teams. Three numbers. One meeting.
Most organizations do not have a data shortage. They have a data agreement problem. Reports get rebuilt by hand every month, definitions drift between departments, and the meeting turns into a debate about whose spreadsheet is right instead of what to do next.
Reporting eats the month
Skilled analysts spend the first week of every month copying, pasting, and reconciling instead of analyzing.
Decisions wait on data
By the time everyone trusts the number, the window to act on it has already closed.
What we do
Two disciplines, one outcome
Engineering builds the foundation. Analytics makes it useful. Ecce Insights delivers both, so the pipeline and the insight are never someone else's problem to chase down.
Data Engineering
The foundation that makes trustworthy analytics possible, built to run quietly without anyone watching it.
- Pipeline design and automation (ELT/ETL)
- Consolidating disparate sources into one warehouse
- Dimensional data models built for how the business asks questions
- Data quality metrics, validation, and monitoring
- Replacing manual, spreadsheet-driven reporting processes
Data Analytics
Reporting that answers the question behind the question, and holds up when leadership pushes back on it.
- Executive dashboards and self-service BI
- Financial analysis, planning, and forecasting
- KPI definition and metric governance
- Revenue, channel, and operational reporting
- Data storytelling for board and leadership audiences
Assessment & roadmap
A clear-eyed read on your current data estate, the gaps that matter, and a sequenced plan to close them.
Single source of truth
One agreed set of definitions and one place they live, so every team's number reconciles by construction.
Fractional data leadership
Senior guidance for teams that need direction and standards more than another set of hands.
How it works
A deliberate path from scattered to settled
No twelve-month discovery phase. Each step produces something you can use before the next one starts.
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1
Listen
Understand the decisions you are trying to make and where the current numbers break down. The business question comes before the architecture.
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2
Consolidate
Bring the disparate sources together, reconcile the definitions, and agree on what each metric actually means.
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3
Automate
Replace the manual monthly assembly with pipelines that refresh themselves and flag their own failures.
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4
Enable
Hand over the documentation, the standards, and a team that can run it. The engagement ends. The capability stays.
Outcomes
What changes when the data agrees
Meetings start at "what do we do"
Not "whose number is right." The reconciliation argument disappears, because there is only one number.
Analysts do analysis
The hours that went into assembling the report go into interpreting it instead. That is where the value was all along.
Reporting survives turnover
Documented, automated pipelines do not walk out the door when the person who built the spreadsheet does.
Leadership trusts the dashboard
When the number holds up to scrutiny every single time, people stop quietly keeping their own private copy.
Ecce Insights LLCInsights Leader · 2023 – present
Amazon & AWSData Engineering Manager · Sr. Product Manager
MicrosoftGroup Finance Manager · Data Quality Manager
Seattle UniversitySpokane, Washington
Who you will work with
David Betz
Insights Leader, Ecce Insights LLC
Every company I have worked with already had the answer sitting somewhere in its data. The hard part was never finding more data. It was getting everyone to agree on what the data said.
I have spent more than 25 years turning messy enterprise data into decisions, first at Microsoft, then at Amazon, and now for my own clients. The pattern repeats everywhere: three teams, three numbers, and a meeting that becomes an argument about the spreadsheet instead of the business.
At Amazon I managed data engineering for Devices & Services Finance and led the common reporting platform behind the Devices business, bringing one set of numbers from many sources to teams across the company. At Microsoft I ran worldwide retail revenue planning and forecasting, and built the first data quality metrics for MS Sales.
That mix is deliberate. Enough finance to know which number actually matters to the business, and enough engineering to build the thing that produces it. When I finish an engagement, you should not need me anymore. That is the point.
- Data Engineering
- Data Analytics
- Business Intelligence
- Financial Analysis
- Forecasting
- Process Improvement
Your invitation to insights
Let us find what your data is hiding
A short conversation is usually enough to tell whether there is something here worth pursuing. No pitch deck, no pressure, no obligation.