We transform data into strategic business value through advanced solutions. Our expertise in Data & AI empowers clients to effectively manage evolving market scenarios, turning change into tangible outcomes.

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Synthetic Data Management: Principles for Effective Governance

Data Quality: From Hidden Cost to Competitive Advantage

Metadata: the Importance of a Qualitative Framework

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Through advanced analytics, machine learning, and deep industry knowledge, we deliver solutions that help organizations make smarter decisions, automate operations, and unlock new sources of value. From finance to manufacturing, our Data & AI capabilities are tailored to solve real-world challenges and drive measurable impact.

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As a data-centric company, we combine digital and data‑science expertise developed across multiple technologies and platforms to deliver innovative, customized solutions for the business. Our service portfolio is organized around four key domains of the Data & AI landscape.

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We work with top technology partners to deliver advanced Data & AI solutions. Together, we help businesses unlock insights, enhance decision-making, and drive innovation.

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Oracle

Google Cloud Platform

Cloudera

Teradata

Informatica

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Rapidminer

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Microsoft

Elasticsearch

Tableau

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Databricks

Talend

AbInitio

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A flexible, “liquid” software solution that supports data governance and quality processes while seamlessly integrating with other services and products.

DG Suite is a flexible, adaptable software solution designed to fully support data governance and data quality processes through its modular components. These modules integrate seamlessly with existing services, products, or suites, providing a comprehensive, hybrid solution for managing and monitoring your organization’s data while addressing diverse business needs.

Data governance defines the responsibilities, procedures, and policies that determine who can perform specific actions on data, and under what conditions. This ensures data's accuracy, consistency, accessibility, confidentiality, preservation, and security.Data quality assesses how suitable data is for its intended purpose by measuring its completeness, accuracy, timeliness, and integrity against predefined criteria, standardizing procedures to guarantee the desired level of quality.Thanks to DG Suite's modular architecture, governance and quality processes integrate smoothly, ensuring reliable data across the enterprise and enabling comprehensive management of the data landscape.

Context

Module for Data Governance and Data Quality management based on a centralised metadata repository.

QISS

Specific module to meet the regulatory requirements of the GDPR.

KIPRO

Module for managing the KQI calculation of remediation process evaluation.

KIRA

Module for Data Quality control and data profiling.

QENGINE

Specific module for the design of processes and monitoring of their progress through the integration of the various company systems.

KORO

DG Modules

Integrated validations and customizable quality controls ensure that data remains accurate, complete, and consistent.

Information quality

Centralized tracking and checkpoints allow full visibility into data changes, simplify compliance processes, and resolve discrepancies.

Internal audit control

Thanks to real-time profiling, monitoring, and remediation evaluation, stakeholders gain trusted insights that drive and accelerate decision-making.

Data optimization

Benefits

Offering expert advice on strategic approaches to Data Governance & Data Quality programs.

Strategic consulting

Developing comprehensive policies and guidelines related to Data Governance and Data Quality.

Policy and guidelines

Utilizing a proprietary methodology (IQF© - Information Quality Framework) to expedite the implementation of Data Governance and Data Quality projects.

Proprietary methodology

Providing consultancy services on the practical implementation of Data Governance and Data Quality control systems.

Practical implementation

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DG Suite

BEAM Mantis delivers accurate, explainable forecasts across thousands of time series, enhancing planning, cost efficiency, and evaluation.

Beam is an integrated system for explainable forecasting developed through experience with top supermarket chains. It enables parallel projections across thousands of time series, organized by categories and hierarchies. Each forecast is broken down into seasonality, trend, and external factors, and validated against historical data for transparent, component‑level insights.

For any organization, forecasting future trends — such as sales or demand for goods and services — is crucial for strategic planning in finance, production, marketing, and logistics. The quality of these forecasts directly affects the effectiveness of plans and the achievement of goals.With Beam, transactional data, sensor networks, and data from web, mobile, and open sources converge with high‑performance computing and cloud‑based parallel systems. This combination creates new opportunities for forecasting solutions that predict, explain, evaluate, and refine outcomes by leveraging extensive data.

Generation and simulation of multiple “what‑if” scenarios, using side‑by‑side comparison reports to evaluate alternative strategies and make data‑driven decisions.

Forecast scenarios

Comprehensive reports on predictor quality that highlight both correlations and causal relationships, identifying the factors that drive KPIs and differentiating between genuine business drivers and spurious links.

Correlation & causation analysis

Utilization of both internal and external variables — ranging from pricing and promotions to macroeconomic indicators — to enhance forecasts, quantifying the impact of each variable and providing actionable insights.

External variables decomposition

Automated validation of model performance through rolling cross‑validation, which generates comprehensive error metrics (MAE, RMSE, MAPE, etc.) to ensure the accuracy and reliability of forecasts.

Cross validation

Creation of reconciled forecasts across categories or organizational hierarchies, allowing for a detailed analysis from enterprise‑level totals to individual SKUs and vice versa, with consistent, verifiable results.

Hierachical and segmented forecasting

Beam Modules

By optimizing resource allocation, guiding product development, and directing targeted market expansion, Beam helps businesses anticipate change and market shifts, allowing them to seize new opportunities.

Strategic planning enablement

By automating parallel processes, we reduce forecasting time and costs, freeing up resources for high‑value activities and streamlining core operations.

Operational efficiency

With explained, correlated, and validated forecasts, the system reveals hidden patterns, improving accuracy and strengthening data-driven decisions.

Forecast reliability

Collecting and analyzing variables from internal and external sources — pricing, promotions, economic indicators — to quantify the influence of each factor and refine your forecasts.

Variable impact analysis

Breaking down each prediction into its components, including seasonality, trend, and external drivers, to understand not only the “what” but the “why” behind each figure.

Forecast explainability

Generating forecasts for thousands of series in a short time while simultaneously testing multiple “what‑if” scenarios using parallel computing infrastructures.

Parallel scenario forecasting

The cloud-native application enables on-demand scaling and seamlessly integrates with existing systems, automating data ingestion and forecast delivery while paying only for the computation required.