companion allegedly hacked as reported by Everest ransomware with details: leak of Empresas Públicas de Medellín (EPM) and its affiliated fellowship CHEC a complete export of the analytics ecosystem of Empresas Públicas de Medellín (EPM) and its affiliated company CHEC - including all force bi semantic models related to client debt, CMI indicators, overdue analysis, and collections management. This is not a partial dump of reports but ready-to-use intellectual dimension in the fields of financial risk management, operational control, and performance analytics - power bi semantic models with transactional databases, KPI monitoring, delinquency-tracking algorithms, and branch-level analysis logic. number archive size: 20.43 gb number of files: 22 Semantic .pbix models: 16 for EPM (~19.3 GB), 6 for CHEC (~1.3 GB) EPMCARTERA.pbix (5.39 GB) - Overall client debt: trends, division by status and delinquency range, average indicators, geo-analytics. CARTERA_CARGOS.pbix (4.72 GB) - Debt by charges: trends in charges, segmentation by product, cycle, branches, and delinquency ranges. CARTERA_DIFERIDA.pbix (287.36 MB) - Deferred debt: % of deferrals, segmentation, clustering, collection routes, priorities. CMI_CARTERA.pbix (52.28 MB) - CMI indicators: dynamics by periods and variables, segmentation by delinquency ranges, debt status and financing, branches. CMI_HISTORICO_INDICADORES.pbix (282.85 KB) - Historical CMI indicators: comparison by regions and periods. CMI_INDICADORES_EPM_MEDICION_OFERTAS.pbix (548.67 MB) - Overdue debt by offers: segmentation by water, gas, energy; detailed by clients and subscriptions. CMI_INDICADORES_FULL.pbix (3.38 GB) - Full CMI model: complete debt control, segmentation, forecasting of problematic clients, geo-analytics. CMI_INDICADORES_MOROSOS_CONSOLIDADO_RANGO_MORA.pbix (26.5 MB) - Consolidated delinquency indicators by range: combined analysis by branches and clients. CMI_INDICADORES_MOROSOS_EPM.pbix (16.81 MB) - EPM overdue clients: detailed debt data, division and risk analysis. CMI_INDICADORES_MOROSOS_FILIALES.pbix (6.66 MB) - Overdue clients by branches: trends of average indicators, segmentation by services, furcate control. CMI_INDICADORES_MOROSOS_MEDICION_OFERTAS.pbix (4.03 MB) - Overdue debt by offers: segmentation by water, gas, energy; detailed by clients and subscriptions. CMI_INDICADORES_MOROSOS_RANGO_MORA.pbix (646.46 MB) - Delinquencies by ranges: trends in % of overdue debt, segmentation and risk analysis by delinquency days. CMI_RODAMIENTO_ESTADO_CORTE.pbix (15.66 MB) - Debt status rodamiento: installation trends, % rodamiento, transition matrices, division by categories, branches, priorities. CMI_RODAMIENTOS_RANGO_MORA.pbix (10.43 MB) - Rodamiento by delinquency ranges: rodamiento trends, segmentation and clustering by CMI variables. RESUMEN_GESTION.pbix (1.48 GB) - Collections management: distribution by management results, segmentation by responsible personnel, region, product, clustering of positive and negative results. RESUMEN_GESTION_HISTORICO.pbix (2.62 GB) - Historical management performance: long-term trends in management results, collections, critical activity routes, segmentation by responsible personnel, products, and regions. CHECCARTERA.pbix (553.53 MB) - overall node debt: trends, segmentation by status and delinquency range, average indicators, geo-analytics by branches. CARTERA_DIFERIDA.pbix (27.4 MB) - Deferred debt: % of deferrals, division by variables, clustering, assembling routes and priorities. CMI_CARTERA.pbix (8.92 MB) - Detailed CMI analysis: dynamics of CMI by periods, segmentation by delinquency ranges, debt status, average indicators and branches. CMI_INDICADORES_FULL.pbix (654.15 MB) - Full CMI indicators model: complete debt control, clustering, forecasting of problematic clients, geo-analytics. CMI_INDICADORES_MOROSOS_FILIALES.pbix (42.95 MB) - Overdue clients by branches: trends of average indicators, segmentation by services, leg control. CMI_INDICADORES_MOROSOS_RANGO_MORA.pbix (2.73 MB) - Delinquencies by ranges: trends in % of overdue debt, segmentation and peril analysis by delinquency days.