📜  商业智能与预测分析之间的区别

📅  最后修改于: 2021-08-24 04:41:19             🧑  作者: Mango

1.商业智能:
商业智能或商业智能是一种技术驱动的过程,用于检查信息并传递可操作的信息,从而帮助主管,经理和不同公司的最终用户做出明智的商业企业决策。它是一个软件程序,可以将统计信息从根本上改变为可操作的见解,从而为组织的战略和战术商业企业决策提供依据。

BI设备有权进入并分析报告,摘要,仪表板,图形,图表和地图中的记录集和现有分析结果,从而为客户提供有关业务状况的有针对性的情报。商业智能一词通常还指的是各种设备,这些设备主要根据可访问的数据来提供对组织尖端状态的见解的快速,易于理解的入口权。

2.预测分析:
预测分析是使用数据,统计算法和计算设备母带策略来发现主要基于历史数据的未来后果的可能性。目的是超越对已经发生的事情的理解,以对未来将发生的事情进行出色的评估。预测分析是当今商业企业和统计科学界的热点问题。

预测分析超越了这些向后的观点,并利用您已经在商业企业中保留的统计数据来显示未来的情况,并告知您将来的情况。不仅如此。预测建模可以帮助您预测未来的结果,它还可以告知您将来应该发生的后续重大因素是什么。

商业智能和预测分析之间的区别:

S.No. Business Intelligence Predictive Analytics
1. It is about descriptive analytics or searching at what happened. It is about discovering hidden patterns the use of complicated
algorithms that help to predict future outputs.
2. With the assist of BI, raw data can be processed to information related to the product, client, region, the quarter for income etc. Using Predictive analytics, raw data is converted into “cleaned Data” by algorithms.
3. It helps people to assist in making decisions on what they can do for getting into insights. In this, the model tells us the best decision in a particular situation based on existing data.
4. It helps people to get insights to solve any business problem. It helps to detect the complex problem with the help of algorithms.
5. It has Ad-hoc reporting technology, alerts technology etc. It includes technologies like predictive modelling, forecasting etc.
6. It has data types such as structured data and data sets which can be managed. It contains both structured and unstructured data and has massive data sets.
7. Some Common types of questions include How many did we sell? Common questions in predictive analytics are what will be the optimum case for our business? Why this is happening?