Paquetá Shoes
The risk of delayed decisions
Testimonial
"We had a lot of difficulty because we didn't have reach for the data. We've been with BIMachine for about four months, and we've already managed to reach stores, deliver to directors, managers, supervisors, the complete hierarchy in 4 months of project, whether desktop or mobile."
"Many of the reports I needed to develop — retail case, which is very fast, needs assertive information — we couldn't have enough speed with what we had."
"People say: 'I need the information, but you don't have it now. When you send it, I'll look, but... I think we can do it like this, let's keep going.'"
Jailson
Data Analyst
Paquetá Shoes
When the business is faster than the information
Retail doesn't wait. Store manager sees zero stock of a product that's selling? Needs to replenish now. Supervisor identifies store with below perform...
Reports with unacceptable delay
Managers deciding on 'gut feeling' due to lack of data
Analysts as operators
Intellectual capacity wasted on manual tasks
Hierarchy without direct access
Dependency on centralized analysts created bottlenecks
Inadequate speed for retail
Information arrived after the decision window
"Many of the reports I needed to develop, retail case which is very fast and needs assertive information, we couldn't have enough speed. People say: 'I need the information, but you don't have it now. When you send it, I'll look, but... I think we can do it like this, let's keep going.'"
Jailson
Data Analyst, Paquetá Shoes
The BIMachine Solution
Technology and methodology to turn data into results
Accelerated Implementation (4 Months)
Complete project in record time: system integration (industry + retail), dashboard development by hierarchical profile, massive user training, rollout to entire organization — all in 4 months vs typical 12-18 months.
Read moreFull Hierarchy Reach
Information available for ALL levels: Stores (operational dashboards), Managers (view + comparison), Supervisors (multiple stores + alerts), Directors (consolidated strategic view). Real democratization.
Read moreMulti-Device (Desktop + Mobile)
Desktop access for deep analysis + mobile for quick daily checks. Managers can access data from anywhere, anytime. Retail on the move demands information on the move.
Read moreReal-Time Information
Management based on real-time data — no more waiting days for reports. Decisions based on continuously updated data, suited to retail's accelerated dynamics.
Read moreImpactful and Flexible Visualizations
Ability to create different scenarios, varied visual structures, dashboards that impact and communicate — not just number tables. Autonomy to answer new questions quickly.
Read moreThe Methodology
Agile implementation with focus on quick wins, prioritization of critical retail use cases (speed > perfection), wave rollout to ensure adoption.
Month 1
Setup and Integrations
System integration (industry + retail), data modeling, KPI definition by hierarchical level.
Month 2
Dashboard Development
Accelerated creation of dashboards for different profiles (store, manager, supervisor, director), validation with key users.
Month 3
Training and Rollout
Training for entire hierarchy, desktop/mobile access distribution, massive onboarding.
Month 4
Full Go-Live
100% data-driven operation, dashboards accessed daily by entire organization, analysts focused on strategic analysis.
The Transformation in Numbers
4 months
Record speed
Complete implementation
100%
Organizational reach
Full hierarchy
Real Time
Decision transformation
From days to instant
Strategic
Analyst role shift
From operator to strategist
Before
No reach
For data (literal phrase)
Days of waiting
For on-demand reports
Gut feeling
Managers deciding without data
Centralized
Information restricted to analysts
Operational
Analysts making reports
Inadequate
Speed for retail dynamics
Limited
Static dashboards
After
100% hierarchy
Stores → Directors with access
Real time
Instant information, self-service
Assertive data
Decisions based on facts
Democratized
Desktop + Mobile for all
Strategic
Analysts generating insights
Very real-time
Management suited to retail (literal phrase)
Flexible
Varied scenarios, impactful visualizations
Impacts of the Transformation
From operation where managers decided on 'gut feeling' because waiting wasn't viable to culture of decisions based on assertive, real-time data
Analysts transformed from report operators to strategists generating insights and proactive analysis
Complete democratization: entire hierarchy (stores, managers, supervisors, directors) with desktop and mobile access
Speed suited to retail: 'management based on very real-time data' (literal quote from testimony)
Flexible capability: create different scenarios, impactful visual structures, answer new questions quickly
Lessons from this Transformation
Implementation speed is competitive advantage
4 months of complete project vs typical 12-18 months means starting to generate ROI 3x faster.
Real democratization = all hierarchical levels
It's not enough to give directors access. Stores, managers, supervisors also need data.
Multi-device is not a luxury, it's a necessity
Retail managers are on the move.
Retail demands real time, not daily batch
Retail's accelerated dynamics don't tolerate yesterday's data.
Freeing analysts from operational tasks generates value
When analysts stop being 'report makers' and become 'insight generators'.
Impactful visualizations accelerate adoption
Beautiful and clear dashboards aren't vanity.
Agility > Perfection in data projects
Better to have good data available in 4 months.
Be the next success case
Strategic AI Diagnosis
Mapping of current analytical maturity
Identification of concrete opportunities for AI use in your area
Prioritization of initiatives based on impact and feasibility
Guidance on structure, tools and necessary integrations
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