Overcoming tax evasion in the digital economy necessitates reconciling scattered data, analyzing different data types, and prioritizing audit candidates. Given the massive size and scope of data, these processes are nearly impossible to do with traditional tools and require advanced capabilities. Decision Intelligence platforms leverage data fusion, machine learning and AI, to enable authorities to automatically ingest, fuse and analyze data from virtually any source, on a massive scale, in order to generate data driven insights and decisions. This helps to reveal anomalies, identify patterns of suspicious activities, assess risks, and uncover potential tax evasion and fraud. Best-in-class decision intelligence platforms enable tax authorities to tackle these challenges by offering the following capabilities: Combatting tax evasion in the digital marketplace Data fusion To streamline tax evasion investigations, tax authorities need to fuse data from separate platforms, tax submissions, VAT records, and internal databases to form holistic profiles for sellers and transactions with all the information investigators need for their work. Based on the fused data, a decision intelligence platform can enable a tax authority to automatically calculate and tag discrepancies to identify tax gaps. Unstructured data analysis Videos, audio, texts and photos are all used to sell and are therefore it is necessary to analyze this unstructured data during investigations, as well as structured data from traditional financial and tax databases. AI-powered media analytics enables investigators and analysts to surface and analyze posts from all media types, and correlate the data across multiple formats. This is particularly important for streaming video content. The right analytics tool can infer sales indications from recorded and live video streams to flag potential unreported sales. 2 Challenges for Tax Authorities 1 Tax Evasion in the Digital Economy 4 About NEXYTE 8 3 Combatting Tax Evasion in the Digital Marketplace