商业智能：术语商业智能 (BI) 暗指用于收集、集成、检查和引入商业数据的进步、应用和磨练。 Commerce Insights 的目的是支持卓越的贸易选择。基本上，Trade Insights 框架是数据驱动的决策支持系统 (DSS)。商业智能现在不时与简报、报告和查询工具以及官方数据框架进行交易。
商业智能框架提供真实的、当前的和有先见之明的商业运营，最常用的是利用已组装到信息库或信息商店中的信息，有时还使用运营信息。
数据分析：数据分析 (DA) 是在特定框架和计算机程序包的帮助下持续分析信息集以得出其包含的数据的策略。 IT 公司通常使用信息分析策略来改进关联，以做出更多信息组织选择，并由研究人员和分析师测试或多样化逻辑模型、标准和信息。
下表列出了商业智能和数据分析之间的差异：
| Business Intelligence | Data Analytics |
|---|---|
| Business Intelligence alludes to the data required to upgrade commerce decision-making activities. | Data Analytics alludes to altering the crude information into a significant arrange. |
| The prime reason of business intelligence is to supply back in choice-making and offer assistance the organizations to develop their business. | The prime reason for data analytics is to demonstrate, cleanse, foresee and change the information as per the trade needs. |
| Business Intelligence can be executed utilizing different BI devices accessible within the advertisement. BI is executed as it were on Verifiable information put away in information distribution centers or data marts. | Data analytics can be executed utilizing different data storage devices accessible within the advertisement. Information analytics can moreover be actualized utilizing BI devices but it depends on the approach or methodology outlined by an organization. |
| BI component can be repaired as it were through verifiable information given and the conclusion client requirements. | Data Analytics can be repaired through the proposed show to change over the information into a important organize. |
| The term Business Intelligence has come into presence in 1865. | Data analytics has been around since19th century, but it has developed its conspicuousness in 1960’s. |
| Business Intelligence, on the other hand, is actualized in a circumstance where an organization doesn’t have any changes to its current trade demonstrate and its prime reason is to meet organizational goals | Data Analytics is executed in a circumstance where an organization is moderately unused and needs critical changes to its commerce model. |
| Business Intelligence (BI) Tools incorporate: Klipfolio, InsightSquared Deals Analytics, ThoughtSpot, TIBCO Spotfire, Alteryx Stage, Domo, Cyfe, Sisense, Looker, Microsoft Control BI. | Data analytics tools are Tableau Public, SAS, Apache Spark., Excel., RapidMiner, KNIME, QlikView. |
| Key skills for business intelligence are Data collection and Management, Data Stockroom concepts, Understanding of diverse data sources and exchange applications, Domain and business information. | Key skills for a data analysis A tall level of scientific ability, Programming languages, such as SQL, Oracle, and Python, The capacity to analyze, demonstrate and translate data, Problem-solving skills. |