📜  业务分析和预测分析之间的区别

📅  最后修改于: 2021-09-12 11:27:07             🧑  作者: Mango

商业分析:商业分析是商业智能的一个分支,主要侧重于基于数据和统计方法准确而深入地了解业务绩效的能力。它充分而综合地利用分析建模数值分析来促进准确的决策。它利用各种工具的优势,涉及数据分析、大数据处理和数据挖掘,以帮助管理人员做出适当的数据驱动决策。

预测分析:预测分析是数据分析的一个子集,它利用了包括机器学习数据挖掘在内的各种统计技术和方法。它使用过去和当前的数据,对其进行处理,然后对未来和未知事件进行预测。它识别各种相似性和模式,发现不同维度或因素之间的关系,以评估潜在的机会和风险。

下表列出了业务分析和预测分析之间的差异:

S.No. Business Analytics Predictive Analytics
1. It processes raw data into valuable information so that people can use it directly. Raw data is first processed into structured data and then patterns are identified to predict future events.
2. It helps people to make decisions based on insights. It helps businesses in various fields to make decisions based on data
3. It is the interpretation of historical data to understand changes that occurred in a business and draws comparisons. It is the interpretation of historical data to predict unknown events by finding hidden patters by using complex algorithms.
4. It is used to know to know what had happened in the past of organisation’s operations. It is used to know to know what will happen in the future or unknown events.
5. Type of data used is traditional and structured data along with manageable data sets. It can use unstructured as well as complex data, or data which is either internal or external to the company.
6. Technologies include data mining, reporting, OLAP, dashboards, descriptive analysis, alerts, surveys etc. Technologies include predictive modeling, forecasting, statistical analysis and machine learning.
7. It helps to solve a business issue, which includes some assumption-making and being dependent on individual experience. It helps to detect complex patterns and creates a model that gives the better insights of what will happen in the future.
8. Using BA, people make better decisions with their insight, without the use of strong verification that they are correct. Using PA, the model itself tells you the optimal decision to make using the insights from the data.