Tax Compliance for the Digital Economy
The digital transformation has reshaped the global economy, introducing new business models, complex regulatory frameworks, and cross-border tax challenges. The increasing regulation of digital services requires businesses to adopt structured tax compliance strategies to mitigate risks and ensure full adherence to international standards.
We provide specialized assistance in:

• Digital Services Tax (DST) compliance and alignment with OECD guidelines (Pillar One & Pillar Two);

• VAT and indirect taxation for e-commerce, marketplaces, and online platforms (B2B & B2C);

• tax incentives for startups and innovative enterprises;

• Transfer Pricing strategies for digital business models;

• cryptocurrency taxation and digital asset compliance;

• risk assessment under BEPS (Base Erosion and Profit Shifting) regulations for digital enterprises;

• tax implications of Digital Permanent Establishments (DPEs);
• innovation tax regimes, including Patent Box, R&D Tax Credits, and Startup Visa programs;

AI-Driven Business Intelligence & Advanced Analytics
The integration of machine learning, predictive analytics, and automation enhances decision-making accuracy, speed, and efficiency. FHP, in collaboration with Beliven Srl, has established a joint venture leading to the creation of Novametrix (link to www.novametrix.it), a platform that helps businesses adopt AI-powered solutions to maximize operational efficiency and competitiveness.

Key Applications of Business Intelligence (BI):

• real-time data processing and analysis – BI rapidly processes and analyzes large data volumes, delivering actionable insights in real time;

• machine learning and predictive modeling – Advanced algorithms identify patterns and hidden correlations, enabling businesses to anticipate trends and future behaviors;

• Automated data analysis: BI automates repetitive analytical tasks, freeing up resources for strategic decision-making;

• natural language processing (NLP) – Extracts insights from unstructured data, such as customer feedback and textual information;

• benchmarking – Compares corporate performance against competitors and industry standards for strategic positioning.

Business Intelligence is particularly valuable for small and medium-sized enterprises (SMEs), granting access to advanced insights and analytics that were traditionally available only to large corporations. By optimizing limited resources, BI enhances decision-making and operational efficiency without requiring significant investments in human or technological resources.

Below are key areas of application where BI can drive measurable impact.

Business Intelligence & Advanced Analytics Applications

Management Control & Reporting

• Data-driven insights: AI-powered bots analyze complex datasets from accounting software, CRM, and ERP systems, extracting actionable insights.

• Interactive dashboards: Custom-built dashboards provide real-time KPI tracking and performance visualization.

• Cost analysis: Implementation of an actual-costing system, moving beyond standard cost assumptions.

• Real-time budgeting & business planning: Scenario-based budgeting incorporating macroeconomic (inflation, interest rates), geopolitical (trade routes, conflicts), and legal (new regulations, trade agreements) variables.

• Automated reporting – AI-driven automated report generation covering key business operations.

Supply chain management:

• Demand forecasting: Sales data and market trend analysis optimize production planning and inventory levels.

• Inventory optimization: Automated tracking reduces overstocking and associated holding costs.

• Supplier performance evaluation: Data-driven assessment ensures reliability and quality compliance.

• Logistics efficiency – Cost and delivery time optimization for improved supply chain performance.

• Risk mitigation – Early identification of supply chain disruptions, such as delays or quality issues, enables proactive intervention.

Risk Management & Compliance

• Risk identification: Advanced analytics detect anomalous customer behavior, operational inefficiencies, and regulatory risks.

• Predictive risk analysis: Statistical modeling and machine learning algorithms anticipate potential risks and enable preventive action.

• Data-driven decision support: Business Intelligence provides reliable, evidence-based analytics for informed decision-making.

Tax Compliance & Optimization:

• Tax risk identification: AI-powered tools detect potential non-compliance issues, allowing for timely corrective measures.

• Fraud detection: Pattern recognition algorithms identify irregular transactions and fictitious invoices, enabling real-time fraud prevention.

• Transfer pricing optimization: AI-driven analysis establishes market-aligned intercompany pricing strategies, ensuring compliance and efficiency.

Sustainability & ESG Reporting:

• Data aggregation: Consolidation of internal and external ESG data to support compliance and impact assessment.

• Performance analysis & benchmarking: BI tools evaluate sustainability performance against industry benchmarks and corporate objectives.
• Transparent ESG reporting – AI-powered platforms generate clear, accessible sustainability reports, facilitating stakeholder engagement and regulatory compliance.

Novametrix^TM
FHP, in partnership with Beliven, founded Novametrix (www.novametrix.it), a pioneering venture in turnkey, scalable, and fully integrated Business Intelligence (BI) solutions.

Beliven specializes in BI consulting and system development for both large corporations and SMEs. The company employs over 30 developers, each with expertise in various BI domains, and has an extensive track record across industries, including: Automotive, Biomedical & Healthcare, Fintech & Financial Services, Travel & Hospitality, Cybersecurity, Telecommunications, Logistics & Supply Chain, Consulting Services, Fashion & Retail.

Novametrix stands out as a one-of-a-kind BI provider in Italy, delivering customized, end-to-end BI solutions designed to enhance decision-making and operational efficiency.

The team is composed of:

• chartered accountants (Dottori Commercialisti) with legal, economic, and corporate finance expertise, combined with BI proficiency;
• developers, programmers, and AI/BI specialists skilled in designing advanced data-driven solutions.