{"id":"W4416249881","doi":"10.1109/icccnp63914.2025.11233722","title":"Sales Data Visualization and Future Predictions Using Power BI and Machine Learning","year":2025,"lang":"","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Sales management; Revenue; Visualization; Data visualization; Sales forecasting; Business intelligence; Power (physics); Predictive power","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007703952,0.0008849904,0.0003544085,0.003287623,0.0004729653,0.002520013,0.0005480633,0.0005169929,0.008085771],"category_scores_gemma":[0.00411806,0.0002813379,0.0003914508,0.003248377,0.0002368899,0.002324781,0.0008022525,0.0009722048,0.001493633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005999557,"about_ca_system_score_gemma":0.0006067291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01530844,"about_ca_topic_score_gemma":0.01458338,"domain_scores_codex":[0.9996284,0.00009908753,0.0000232039,0.00005915647,0.000161723,0.00002841923],"domain_scores_gemma":[0.9987339,0.0005673757,0.0001449136,0.0001190986,0.0003606811,0.00007406198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001031959,0.0004575888,0.04089889,0.0004193996,0.0001613959,0.0009067369,0.001822574,0.2531509,0.006564153,0.04030382,0.06987492,0.5844076],"study_design_scores_gemma":[0.00002671775,0.00004970332,0.006410939,0.00005933037,0.00001950608,0.0001156357,0.0004604995,0.9522171,0.003212222,0.01677811,0.02059837,0.00005189615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2952694,0.002517293,0.5426967,0.007712693,0.0006792985,0.0003216582,0.01307926,0.03729247,0.1004312],"genre_scores_gemma":[0.8022429,0.001267352,0.1830852,0.0002127651,0.000109612,0.0001190781,0.00380563,0.0007480956,0.008409376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01530844,"threshold_uncertainty_score":0.03043866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07581328367578906,"score_gpt":0.3265766794986076,"score_spread":0.2507633958228186,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}