GBS
Advanced Analytics

From the business question to measured impact.

Our approach to Advanced Analytics runs through five steps — from framing the business question to measuring the impact.

Approach

Five steps, from question to impact.

A structured path that connects the business question to the decision — grounded in reliable data, tailored models and continuous measurement of results.

01

Frame the question

02

Prepare the data

03

Build the model

04

Scale the deployment

05

Measure the impact

Many organizations invest in data and technology but struggle to convert analytical capability into measurable business results. The gap is rarely technical — it lies in strategic alignment, data readiness and execution discipline.

Business

Problem Definition

Data

Governed Architecture

Technology

Modern Pipelines

Organization

Capabilities & Adoption

Approach

Five steps, from question to impact.

A structured path that connects the business question to the decision — grounded in reliable data, tailored models and continuous measurement of results.

01

Frame the question

02

Prepare the data

03

Build the model

04

Scale the deployment

05

Measure the impact

Many organizations invest in data and technology but struggle to convert analytical capability into measurable business results. The gap is rarely technical — it lies in strategic alignment, data readiness and execution discipline.

Business

Problem Definition

Data

Governed Architecture

Technology

Modern Pipelines

Organization

Capabilities & Adoption

What we deliver

Four fronts covering the analytics cycle — from business-driver framing to model industrialization and governance.

Capabilities end to end.

01

Business-Driver Analytical Framing

  • Business driver decomposition
  • Analytical hypothesis formulation
  • Prioritization of high-impact use cases
  • Quantified value potential assessment
02

Predictive & Prescriptive Modeling

  • Forecasting models (demand, revenue, risk...)
  • Predictive scoring & classification models
  • Optimization models (cost, pricing, supply...)
  • Scenario simulation & sensitivity analysis
03

Decision Intelligence & Optimization

  • Prescriptive decision engines
  • Resource allocation optimization
  • Portfolio and investment simulation
  • "What-if" modeling environments
04

Industrialization & Model Governance

  • Model validation & performance testing
  • MLOps and production deployment strategy
  • Monitoring frameworks
  • Continuous refinement roadmap
Results

Generating measurable results.

up to USD 10M

in savings through predictive algorithms.

up to USD 8M

in direct free-cash-flow improvement.

50%

reduction in billing fraud with classification algorithms.

Success stories

Analytical models applied to business decisions across different sectors.

From analysis to measured impact.

Food & Beverage Food & Beverage
USD 10M
[ inventory reduction ]

MRO inventory optimization for a global beverage leader.

Development and deployment of machine learning models to redesign the MRO inventory policy for a global beverage company operating across Latin America. The initiative reviewed item criticality, redefined replenishment parameters, and implemented algorithm-driven purchase and transfer decisions to optimize working capital and improve supply reliability.

Impact

USD 10MM (37%) reduction in average inventory value and 58% reduction in stockouts.

Agribusiness Agribusiness
<5%
[ projection error ]

Accounts receivable forecasting optimization.

Development and benchmarking of advanced time-series and machine learning models to increase the accuracy of daily accounts receivable forecasting, replacing a volatile projection logic with a robust analytical framework to support better cash management and financial planning.

Impact

Projection error reduced from 25% to below 5% with multiple scenario simulations.

Natural Gas Natural Gas
90%
[ penalty reduction ]

Demand forecasting optimization.

Implementation of advanced predictive models to forecast gas consumption across network entry points, replacing an unreliable demand planning process with a data-driven forecasting engine and establishing an end-to-end monitoring framework for sustained performance.

Impact

90% reduction in contractual penalty expenses and USD 1.1MM in annual savings.

Related

Insights & Reports.

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From the business question to measured impact.

Count on EloGroup to turn data into decisions — with tailored models, governance and measurable impact.