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Success Case

Grupo Verdes Vales

The bottleneck of analytical speed

From full morning to hour by hour

When indicator culture meets the right tool

Having indicator culture for years, but generating those indicators manually consumed entire mornings of back-office work, created conflict between departments (each with its own methodology) and delivered outdated data for urgent decisions. Verdes Vales, one of Brazil's Top 10 John Deere dealers, always knew WHAT to measure — the problem was HOW to measure with agility in agribusiness.

Grupo Verdes Vales

Client since Project started after ~9 months of negotiation

John Deere Dealer (On-Dealer)

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Founded
Expansion: 4 → 21 companies
Employees
Team distributed across all branches
Location
HQ: Santa Maria/RS | 15+ branches across state
Partnership
In implementation during case years

Departments Involved

FinanceCommercialPartsServicesCRMControllership

Testimonial

"Our company always had indicator culture. It always guided its strategic actions through indicators. The problem was the growing difficulty in generating those indicators."

"A very complex and bureaucratic information transmission chain was created. The need to produce these indicators with more agility became pressing."

"The BI concept was a perfect fit. Senior management was amazed. Try taking BI away today. It would be chaos. The company would be blind today."

J

Juliano

IT Manager
Grupo Verdes Vales

When you know WHAT to measure, but can't measure FAST

Verdes Vales had something rare: indicator culture consolidated for years. The problem wasn't convincing people — it was making the process viable. Ba...

Full morning generating indicators

Qualified back-office underused in manual work

IT as information bottleneck

Manual extractions and complex data chain

Conflict between departments

Methodology discrepancies distorting reality

Outdated data when it arrived

Climate and harvest change rapidly in agribusiness

Spreadsheet error risk

Scattered formulas distorting strategic results

Expansion complexity

Difficulty controlling growth from 4 to 21 companies

"It used to be very complicated to produce these indicators. It was extraction after extraction of reports, cross-referencing in spreadsheets, absorption of staff. That started to become almost unsustainable."

Juliano

IT Manager, BI Project Lead, Grupo Verdes Vales

The BIMachine Solution

Technology and methodology to turn data into results

90% of Loads Updated Hour by Hour

Automatic ERP integration with data updated every 60 minutes. End of full mornings generating manual spreadsheets.

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Single Indicator Methodology

Collaborative build eliminating discrepancies. Single source of truth mitigating conflict between departments.

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Management Focus (not Operational)

BI for management indicators and ERP for operational audit. Avoid huge tables and keep focus on strategic management.

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Co-Creation with Key Users

Area managers leading panel definition, with IT acting as strategic enabler.

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Mobile Access for Senior Management

Directors track revenue and projects via app at 10pm from anywhere, with full autonomy.

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The Methodology

Co-creation with key users leading and management by cycles rotating between areas.

1

Negotiation

~9 months

Rigorous market evaluation and strategic decision.

2

Initial Panel

Phase 0

Global revenue and basic commercial indicators.

3

Expansion

Cycles

Parts, Services, CRM and Controllership in rotating cycles.

4

Maturity

Continuous

100% remote implementation consolidated with data culture.

The Transformation in Numbers

90%

Automated loads

Hour-by-hour update

Morning →60min

Speed

Automatic indicator generation

21 companies

Scalable management

4→21 without losing control

100%

Accuracy

BI as operational quality auditor

Before

Full morning

Back-office generating indicators manually

Bottleneck

IT overloaded with manual extractions

Conflict

Methodology discrepancies between departments

Delay

Outdated data at decision time

Operational

Qualified professionals underused

Risk

Comma or formula errors in spreadsheets

BIMachine

After

Automated

Indicators ready hour by hour

Strategic

IT and Back-office focused on analysis

Single Source

End of discrepancies between areas

Real time

Agile decisions in volatile scenario

Engagement

Directors with data on phone at 10pm

Audited

BI revealing and correcting source errors

Impacts of the Transformation

Back-office freed from operational work to focus on strategic analysis.

End of conflict between departments: single methodology and single source of truth.

Senior management with 24/7 visibility via mobile from anywhere.

BI serving as quality auditor of operation across 21 companies.

Indicator culture enabled with agility needed for agribusiness.

Lessons from this Transformation

01

Existing Culture Accelerates Everything

If the company already knows what to measure, the BI tool is absorbed immediately as solution to real pain.

Immediate adoption
02

BI Isn't 'Big Table'

Keeping focus on management indicators and not operational reports is vital for strategic value.

Focus on management
03

Methodology Unifies the Company

Eliminating organizational babel of each area with its own criteria generates alignment and saves time.

Single language
04

Cycle-Based Management Generates Balance

Preventing one area from 'hijacking' the project by allowing all to evolve in rotating cycles.

Balanced evolution
05

Key User Leads, Consulting Enables

Area manager defines WHAT they need to see and HOW they want to see it. IT/Consulting define HOW to extract/automate. Priscila (parts) practically built her own panel.

Excel-replicating panels automated
06

Cycle Management Prevents Project Hijacking

Enthusiastic area can monopolize project. Solution: cycles rotating between areas, maintaining balance. All served progressively.

All areas served in balance
07

Rigorous Validation Turns BI into Quality Auditor

When data diverges, 100% of the time the problem is in operations (not BI). BI correctly flags and reveals operational errors.

100% data reliability
08

Agribusiness Demands Speed (Variables Change Daily)

Climate, harvest, dollar, commodities change rapidly. Yesterday's data is obsolete. Hour by hour is the right cadence for decision making.

Agile decisions in volatile scenario

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