Introduction of business analytics, data analytics, and data science

Business world: Business Cose, Qualitative Analytics, Preliminary Data Report, Reporting with Visuals, Creating Dashboards and Sales Forecasting.

Some business activities are data-driven while others are subjective or experience-driven.

In the data field, you will need data to create a preliminary report. A visual representation of the performance of your company. For last year a business dashboard and also a forecast for the future sales of your company.

总结:

  1. Business 和 Data 有交集的是Preliminary Data Report, Reporting With Visuals, Creating Dashboards, and Sales Forecasting.
  2. The Business Case and Qualitative Analytis only to the sphere of business.

Business case studies are real world experiences of how business people and companies succeed or fail. You don’t need a data set to learn from business cases. Business case studies examine event that have already happened. For instance one can learn from them and attempt to prevent making a similar mistake in the future. Studying business cases is part of your analysis.
Qualitative Analytics is that use your intuition and the knowledge of the market to help in the future planning process. This includes working with tools that help predict future behavior.

总结:

  1. Business Case Studies is part of your business analysis.
  2. Qualtative Analytics is part of your business analytics.
  3. Analysis 是研究已经发生的事。
  4. Analytics 是研究和预测未来要发生的事。

Some of thet terms you see refer to activities that aim to explain past behavior while others refer to activities used for predicting future behavior.

Analytics has become a term comprising both analysis and analytics.

Past (发生过的事情):Preliminary Data Report, Reporting with visuals and creating dashboards.
Future (未来要发生的事):Sales Forecasting.

Data Science is a discipline reliant on data availability, while business analytics does not completely rely on data.
However, data science incorportates part of data analytics mostly the part that uses complex mathematical, statistical and programming tools.

Data Science: It can be used to improve the accuracy of predictions based on data extracted from various typical for drilling efficiency. It is not business analytics.

Digital signal: It is used to represent data in the form of discrete values which is an example of numeric data. Therefore data analytics can be applied to digital signal in order to produce a higher quality signal and that’s what digital signal processing is all about.

总结:

  1. 属于过去发生的事的terms: Business Case Studies, Preliminary Data Report, Reporting with visuals, and creating dashboards.
  2. 属于将来要发生的事的terms: Qualitative Analytics, Sales Forecasting, Optimization of Drilling Operations and Digital Signal Processing.
  3. 只属于Business Analytics的terms: Business Case Studies 和 Qualitative Analytics.
  4. 即属于Business Analytics 和 Data Science的terms: Preliminary Data Report, Reporting with Visuals, Creating Dashboards and Sales Forecasting.
  5. 只属于Data Science的terms: Optimization of Drilling Operations.
  6. 只属于Data Analytics 的 terms: Digital signal processing.
  7. 即属于Business Analytics , Data Science 和 Data Analytics的terms: Preliminary Data Report, Reporting with Visuals, Creating Dashboards, Sales Forecasting, Optimization of Drilling Operations.

就是这个图。 中间的徐虚线表示现在,左边代表过去,右边代表过去将来。在这里插入图片描述

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转载自blog.csdn.net/BSCHN123/article/details/103340841