Improving organizational performance is a priority for the managers and experts of companies. Performance appraisal capabilities are activities that use available information to improve business processes and achieve company goals. Knowledge information entered into companies, on the one hand, is effective in learning people and, on the other hand, is used in management decisions. This study aims to improve these organizational performances by using Business intelligence (BI) and Artificial intelligence (AI) on Data mining systems (DMS) in privately held companies. This descriptive survey study is based on the purpose of applied and quantitative research. The statistical population includes managers of privately held companies. These companies use BI and AI in their data mining systems. The results revealed that BI capabilities & reliability affect performance capabilities. Further, Performance evaluation capabilities (PEC) impact competitive advantage; Since the BI capabilities are related to BI reliability, thus, Business intelligence infrastructure (BII) impresses BI reliability. Path coefficient between the two variables of integration of BII on BI capabilities is β = 0.389. Moreover, the T-statistic between these two variables is t = 5.768. Path coefficient between the two variables of BI capabilities over reliability business intelligence is β = 0.158. Moreover, the T-statistic between these two variables is t = 1.967. Path coefficient between the two variables of Integrate BII with business intelligence reliability is β = 0.344. Moreover, the T-statistic between these two variables is t = 4.452. Innovation has a significant impact on the company's performance by creating an improved market position, which indicates a competitive advantage and superior performance.

提高组织绩效是公司管理者和专家的首要任务。绩效评估能力是利用可用信息改进业务流程和实现公司目标的活动。输入企业的知识信息，一方面可以有效地学习人，另一方面可以用于管理决策。本研究旨在通过在私营公司的数据挖掘系统 (DMS) 上使用商业智能 (BI) 和人工智能 (AI) 来提高这些组织绩效。这项描述性调查研究基于应用和定量研究的目的。统计人口包括私营公司的经理。这些公司在其数据挖掘系统中使用 BI 和 AI。结果表明，BI 能力和 可靠性影响性能能力。此外，绩效评估能力 (PEC) 影响竞争优势；由于 BI 功能与 BI 可靠性相关，因此，商业智能基础设施 (BII) 给 BI 可靠性留下了深刻印象。BII 对 BI 能力的积分两个变量之间的路径系数为β  = 0.389。此外，这两个变量之间的 T 统计量为t  = 5.768。BI 能力对可靠性商业智能的两个变量之间的路径系数是β  = 0.158。此外，这两个变量之间的 T 统计量为t  = 1.967。Integrate BII 与商业智能可靠性的两个变量之间的路径系数为β  = 0.344。此外，这两个变量之间的 T 统计量为t  = 4.452。创新通过创造更好的市场地位对公司的业绩产生重大影响，这表明了竞争优势和卓越的业绩。