1.3.1.Data Science in Business

How Data Science is saving lives

Using Data Science techniques to understand and analyze the large data sets available today has a huge impact on human lives. It can provide targeted information to help healthcare professionals give the best treatment to patients, or help predict natural disasters so that people can prepare early, and much more besides.

Data science tools enable organizations to analyse vast quantities of data from widely different sources, and present that information in a way that allows data scientists to gain new knowledge, in some cases, saving hundreds of lives.

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How Should Companies Get Started in Data Science?

First thing first, start capturing data. Once you have data, then you can apply algorithms and analytics to it. So the first thing to do would be to capture data. If you're not capturing it, start capturing it. If you're capturing it, archive it. Do not overwrite on your old data thinking you don't need it anymore. Data never gets old. Data is always relevant, even if it's 100 years old, 200 years old. It is relevant to you and and your firm and your success. So keep data, capture it, archive it, make sure nothing goes to waste. Make sure there's a consistency. So someone 20 years later trying to understand, that data should be able to do so, so have proper documentation. Do it now. Put the best practices for data archiving in place the moment you start a business. And if you're already in business and you haven't done it, do it now.

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Lesson Summary

In this lesson, I have learned:

• Data Science helps physicians provide the best treatment for their patients, and helps meteorologists predict the extent of local weather events, and can even help predict natural disasters like earthquakes and tornadoes. 데이터 사이언스는 의사들이 환자에게 최상의 치료를 제공할 수 있도록 돕고 기상학자들이 지역 기상 현상의 정도를 예측할 수 있도록 도와주며, 지진이나 토네이도와 같은 자연재해를 예측하는 데도 도움을 줄 수 있다.

• That companies can start on their data science journey by capturing data. Once they have data, they can begin analysing it. 기업은 데이터를 캡처함으로써 데이터 과학 여정을 시작할 수 있다. 일단 데이터가 있으면 분석을 시작할 수 있다.

• Some ways that data is generated by consumers. How businesses like Netflix, Amazon, UPs, Google, and Apple use the data generated by their consumers and employees. 소비자가 데이터를 생성하는 몇 가지 방법이 있다. Netflix, Amazon, UPs, Google 및 Apple과 같은 기업이 소비자와 직원이 생성한 데이터를 사용하는 방법

• The purpose of the final deliverable of a Data Science project is to communicate new information and insights from the data analysis to key decision-makers. 데이터 사이언스 프로젝트의 최종 결과물의 목적은 데이터 분석의 새로운 정보와 통찰력을 주요 의사 결정자에게 전달하는 것이다.

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Quiz

Reading:The Final Deliverable