📜  商业智能和预测分析之间的区别

📅  最后修改于: 2021-09-12 11:17:27             🧑  作者: Mango

1.商业智能:
商业智能或 BI 是一种技术驱动的程序,用于检查信息和传递可操作的信息,帮助高管、经理和不同的公司最终用户做出明智的商业企业决策。它是一个软件程序和产品,可从根本上将统计数据转变为可操作的见解,为组织的战略和战术商业企业决策提供信息。

BI 设备有权访问并分析报告、摘要、仪表板、图形、图表和地图中的记录集和现有分析结果,为客户提供有关业务状态的有针对性的情报。术语商业智能通常还指各种设备,这些设备提供快速、易于理解的入门权,主要基于可访问的数据,深入了解组织的前沿状态。

2. 预测分析:
预测分析是使用数据、统计算法和计算设备掌握策略来发现主要基于历史数据的未来后果的可能性。目的是超越了解已经发生的事情,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,并利用您在商业企业中已经保存的统计数据来预测未来,并告知您未来将出现的情况。不仅如此。预测建模允许您预测未来的结果,它还可以告诉您未来应该发生的后续重要因素是什么。

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?