Advanced analytics Once data has been fused, the right AI tools can get to work surfacing new insights. Machine learning algorithms can be trained on historical data relating to tax fraud to identify relevant risk factors that help tax analysts score and prioritize audit candidates. AI can also enrich profiles to allow analysts to get deeper insight into a company or person of interest. Enrichment can come from unstructured data sources, like photos, videos, posts, and internal database records. AI and Machine learning can also surface new suspects by detecting connections between entities, such as bank accounts and companies, to uncover fraudulent networks and identify inferred business relationships. Unified investigative workspace A unified workspace allows multiple analysts or teams to easily conduct investigations, see all data related to an investigation, and view advanced data visualization, such as timelines and visual link analysis, to illustrate connections between suspicious sellers. These capabilities help analysts easily detect suspicious patterns and anomalies. Tax evaders are hiding in the overwhelming masses of data, depriving governments of valuable revenue. Having the right tools can empower tax authorities to conduct thorough and efficient investigations to boost revenues and prosecute tax evaders. 2 Challenges for Tax Authorities 1 Tax Evasion in the Digital Economy 4 About NEXYTE 9 3 Combatting Tax Evasion in the Digital Marketplace