G-Fenix
Idioma
DATA & ANALYTICS

Casos de Uso we solve.

10 real problems companies face when data starts piling up — and how we turn scattered spreadsheets, ad-hoc extracts and rogue dashboards into clean, reliable, available data and confident decisions.

ASSESS
Inventory & diagnose
QUICK WINS
Value in 0–90 days
ROADMAP
Short & medium term
DATA-DRIVEN
Decisions on clean data
THE SITUATION

No real data platform. Excels, manual extractions and a few Power BI reports built by different people keep piling up. Numbers don't match between teams, and decisions depend on whoever happens to hold the latest file.

OUR APPROACH

We run a data assessment: we inventory every source, map how data flows, and diagram the current situation in plain, non-technical language so leadership can actually decide. Then we deliver a prioritized action plan — quick wins now plus a roadmap toward clean, reliable, available data.

QUICK WINS · 0–90 DAYS
  • Consolidate the 3 most critical reports into one trusted dashboard.
  • Define metric owners and a shared glossary so everyone counts the same way.
  • Retire duplicate and contradictory files.
ROADMAP
SHORT TERM3–6 months

Central data store with automated refresh; one trusted version of key reports.

MEDIUM TERM6–18 months

Governed self-service BI and a culture of decisions made on clean data.

OUTCOME One version of the truth, faster and calmer decisions, far less manual rework.
THE SITUATION

Sales live separately in the POS, the online store and the marketplace. Inventory is reconciled by hand, so stockouts and overstock are discovered far too late.

OUR APPROACH

We integrate every channel into one model, standardize SKUs into a clean product master, and build a near-real-time sales & stock dashboard with alerts on the products that matter most.

QUICK WINS · 0–90 DAYS
  • Daily consolidated sales report across all channels.
  • Low-stock alerts on best-sellers.
  • Clean, de-duplicated product master.
ROADMAP
SHORT TERM3–6 months

Automated channel ingestion feeding one sales & stock model.

MEDIUM TERM6–18 months

Demand-aware replenishment and margin analytics by product and store.

OUTCOME Fewer stockouts, less dead stock, and clear margin visibility per channel.
THE SITUATION

Production data is trapped inside machines and paper or Excel logs. Downtime causes are anecdotal, and OEE is unknown or roughly estimated.

OUR APPROACH

We capture and clean production data, define OEE (availability, performance, quality) consistently, and visualize where losses happen by line and shift.

QUICK WINS · 0–90 DAYS
  • Automated daily output and downtime report.
  • Pareto of the top stoppage causes.
  • Reliable OEE baseline per line.
ROADMAP
SHORT TERM3–6 months

Trustworthy OEE per line, refreshed automatically.

MEDIUM TERM6–18 months

Predictive maintenance signals and scrap-reduction analytics.

OUTCOME Visible bottlenecks, targeted improvements, and measurable throughput gains.
THE SITUATION

Deliveries, routes and costs are tracked in personal spreadsheets. There are no reliable on-time or cost-per-delivery KPIs to manage the operation.

OUR APPROACH

We model the operational data into one dataset and build a KPI cockpit — on-time %, cost per delivery, route efficiency — with drill-down to the problem cases.

QUICK WINS · 0–90 DAYS
  • Automated on-time and cost dashboard.
  • Exception list of late or expensive deliveries.
  • Single, agreed operational dataset.
ROADMAP
SHORT TERM3–6 months

One operational data model powering daily KPIs.

MEDIUM TERM6–18 months

Route optimization and SLA forecasting.

OUTCOME Tighter SLAs, lower cost per delivery, and accountable operations.
THE SITUATION

Patient, appointment and billing data sit in separate systems. Monthly reports are built by hand, while data quality and privacy remain ongoing concerns.

OUR APPROACH

We consolidate sources with privacy by design, clean and standardize records, and automate the operational and financial reporting that today eats hours every month.

QUICK WINS · 0–90 DAYS
  • Automated occupancy and no-show report.
  • De-duplicated patient master record.
  • Access-controlled reporting layer.
ROADMAP
SHORT TERM3–6 months

Governed reporting layer with role-based access.

MEDIUM TERM6–18 months

Capacity planning and clinical outcome analytics.

OUTCOME Hours saved every month, trustworthy KPIs, and audit-ready data.
THE SITUATION

Ad spend is spread across channels and ROAS is argued from each platform's own numbers. There is no unified, comparable attribution.

OUR APPROACH

We unify spend and revenue into one marketing mart, build a comparable channel attribution and ROAS model, and deliver a marketing performance dashboard the whole team trusts.

QUICK WINS · 0–90 DAYS
  • Blended ROAS and CAC dashboard.
  • Weekly channel performance view.
  • Unified spend and revenue dataset.
ROADMAP
SHORT TERM3–6 months

Single marketing data mart across channels.

MEDIUM TERM6–18 months

Attribution modeling and budget-allocation scenarios.

OUTCOME Smarter budget allocation, lower CAC, and defensible marketing decisions.
THE SITUATION

The monthly close and board reporting run on fragile Excel files — slow, error-prone, and dependent on one person who holds all the knowledge.

OUR APPROACH

We model finance data in a warehouse, automate the core metrics (MRR, churn, margin), and deliver board reports that update themselves and reconcile to the source.

QUICK WINS · 0–90 DAYS
  • Automated MRR and churn dashboard.
  • Reconciled revenue report.
  • Documented, repeatable metric definitions.
ROADMAP
SHORT TERM3–6 months

One finance data model feeding self-updating reports.

MEDIUM TERM6–18 months

Scenario planning and forecasting.

OUTCOME A faster close, fewer errors, and no key-person risk.
THE SITUATION

Headcount, turnover and recruiting are tracked in disconnected spreadsheets, leaving leadership without a clear, current picture of the workforce.

OUR APPROACH

We consolidate HR data with privacy in mind, define the core people KPIs, and build a leadership people dashboard that answers the recurring questions instantly.

QUICK WINS · 0–90 DAYS
  • Headcount and turnover dashboard.
  • Time-to-hire report.
  • Clean, consolidated people data model.
ROADMAP
SHORT TERM3–6 months

Reliable people data model with core KPIs.

MEDIUM TERM6–18 months

Attrition-risk analytics and workforce planning.

OUTCOME Proactive retention, faster hiring, and data-backed people decisions.
THE SITUATION

Each venue runs its own POS and performance is compared by emailing spreadsheets around. There is no timely, fair cross-location view.

OUR APPROACH

We centralize POS data, standardize the menu and product catalog, and build per-location and group dashboards so every site is measured the same way.

QUICK WINS · 0–90 DAYS
  • Daily group sales with per-venue ranking.
  • Labor-versus-sales view by site.
  • Standardized menu and product catalog.
ROADMAP
SHORT TERM3–6 months

Automated multi-venue ingestion into one model.

MEDIUM TERM6–18 months

Menu engineering and demand forecasting per site.

OUTCOME Fair comparison across sites, faster reactions, and protected margins.
THE SITUATION

Time tracking, costs and invoicing are scattered. Nobody knows which projects or clients are actually profitable until it is too late to act.

OUR APPROACH

We join time, cost and revenue data, define project and client profitability consistently, and build a live margin dashboard that flags trouble early.

QUICK WINS · 0–90 DAYS
  • Project margin and utilization dashboard.
  • Automatic flag of loss-making projects.
  • Unified delivery and finance dataset.
ROADMAP
SHORT TERM3–6 months

One delivery-and-finance dataset powering margin views.

MEDIUM TERM6–18 months

Pricing insights and capacity forecasting.

OUTCOME Protected margins, better pricing, and clear utilization visibility.