SYSTEM ACTIVE · PIPELINE RUNNING · LAST UPDATE: NOW
PAGE 03DATA & BI

Data.

A pipeline that turns raw source into continuous decisions.

METRIC 01
12
Active dashboards
METRIC 02
47
Connected sources
METRIC 03
180+
Reports/mo
METRIC 04
3.2s
Average latency
PIPELINE ACTIVE GEOMARKETING · 8 TERRITORIES MAPPED BI RUNNING AUTOMATED REPORTS EVERY MONDAY CRM INTEGRATED DASHBOARDS WITH NO MANUAL WORK PIPELINE ACTIVE GEOMARKETING · 8 TERRITORIES MAPPED BI RUNNING AUTOMATED REPORTS EVERY MONDAY CRM INTEGRATED DASHBOARDS WITH NO MANUAL WORK
REPORT 02EXECUTIVE BRIEF

Data is direction,
not destination.

FY 2026
CONTINUOUS ED.
AUTHOR: TH—AGENT

Data without action is inventory. In a market, inventory weighs you down, it doesn't move you. Theorema's data-first operation starts from the end: what decision needs to be made, by when, with what confidence?

From there we build the pipeline backwards: which sources, which transformations, which visualizations, which alerts. Every dashboard we deliver answers a concrete business question. No decorative dashboards.

Geomarketing for expansion. BI for results. Audience analysis for product. Automated reports for the executive routine. All connected to real sources: CRM, ERP, ads, analytics, with no manual PowerPoint at month's end.

The advantage of operating with AI agents isn't speed: it's continuity. The system watches while you sleep, flags when something drifts, updates the dashboard before Monday's meeting. You arrive to decide, not to assemble the data.

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REPORT 04SERVICES MATRIX

Services in operation.

Ref. Service Description Agent Status
SVC-01 BI & Dashboards Executive dashboards updated automatically. Zero manual work. Métrikos ACTIVE
SVC-02 Geomarketing Territory mapping, market potential, saturation by neighborhood and municipality. Métrikos ACTIVE
SVC-03 Attribution Analysis Multi-touch models that show what actually drove the sale. Métrikos ACTIVE
SVC-04 Automated Reports Weekly reports delivered before the meeting. With drift alerts. Métrikos ACTIVE
SVC-05 Cohort & Retention Customer cohort analysis, projected LTV, predictive churn. Métrikos ACTIVE
SVC-06 Data Strategy Data architecture consulting: governance, analytical maturity, roadmap. Strategos ACTIVE
REPORT 03OPERATIONAL PIPELINE

From raw source
to insight.

STEP 01
01
Source ingestion

We connect CRM, ERP, ad platforms, analytics and custom APIs. Data arrives structured.

HubSpot · Salesforce · GA4 · Meta
STEP 02
02
Transformation

Automated ETL, schema normalization, deduplication and enrichment. Clean data.

dbt · Python · Airflow
STEP 03
03
Modeling

Attribution models, cohorts, geomarketing, propensity scoring. Analysis that grounds decisions.

BigQuery · Looker · Python
STEP 04
04
Visualization

Executive dashboards, weekly automated reports, threshold alerts. No manual work.

Looker Studio · Metabase · Slack
STEP 05
05
Action

Automatic triggers for campaigns, product recommendation, expansion routes. Data that becomes revenue.

n8n · Make · Agentes IA
TH—DAD—03 · PIPELINE SPEC · REV. 01 SHEET 3 OF 6
ANALYSIS ACTIVE FRAME 05 / 06
Data aren't the end. They're direction.
TH—DAD—TRANS PIPELINE RUNNING ©2026
REPORT 05METRICS GROWING

Trajectory in real time.

M-01
+37%
Dashboard growth
↑ vs. Q4 2025
M-02
+12 new
Sources added / qtr
↑ pace accelerating
M-03
98%
Pipeline uptime
→ stable
M-04
-41%
Report prep time
↓ ongoing reduction
M-05
4x
More decisions per week
↑ data-driven decisions
M-06
2.1s
Target latency 2026
↓ from 3.2s today
M-07
8
New territories Q2
↑ geo expansion
M-08
100%
Reports with no manual work
→ automated
TH—DAD—05 · MÉTRIKOS · ATUALIZADO AUTOMATICAMENTE Growth data, not a static snapshot.
REPORT 06CLOSING

Data that
grounds
decisions.

Pipeline built in 4 weeks. Dashboards running by Thursday. Your team goes back to deciding with data, not building spreadsheets.

Theorema Digital Data Operation · AI-first
FILED 13.06.2026 SPEC TH-DAD-06 STATUS RECEIVING BRIEFS AUTHOR TH—DIGITAL
PROOF

Where it ran.

Documented projects, with the problem, the decision and what changed.

FREQUENTLY ASKED

Before you ask.

What people usually want to know before the first brief.

Do I need my data organized before starting?
No. The work starts precisely in the mess: scattered sources, manual spreadsheets, reports no one trusts. Organizing is part of the pipeline.
How long until the first dashboard?
The pipeline is built in about 4 weeks, with dashboards running before that. The goal is your team back to deciding with data, not building spreadsheets.
Do you replace my current BI?
Only if it's getting in the way. In most cases we connect to what already exists. The problem is rarely the tool, it's what reaches it.
Who maintains it once it's live?
The agents. The pipeline runs on its own and warns when something breaks. You get the decision ready-made, not the raw alert.
WHERE IT RAN