登录查看更多内容

点击“继续加入或登录”，即表示您同意遵守领英的《用户协议》、《隐私政策》及《Cookie 政策》。

全部

What are some ways to identify and analyze insurtech data using critical thinking?

由人工智能和领英社区提供技术支持

Insurtech data is a valuable asset for insurance professionals who want to improve their products, services, and customer experience. However, data alone is not enough to generate insights and solutions. You also need to apply critical thinking skills to identify, analyze, and evaluate the data and its implications. In this article, you will learn some ways to use critical thinking to enhance your insurtech data analysis.

此文章中的业界达人

由社区从 5 条内容中精选。了解更多

Jacy Johnson

BI Workhorse

1 Define the problem

The first step in critical thinking is to define the problem you want to solve or the question you want to answer with the data. This will help you narrow down your focus, set your objectives, and identify your assumptions and criteria. For example, if you want to improve customer retention, you need to define what retention means, how you measure it, and what factors influence it.

添加您的观点

Jacy Johnson

BI Workhorse
举报内容
The generation of a hypothesis begins with induction, which depends on active awareness in observation. Induction further demands our thoroughgoing analysis of how the mechanics of the hypothesis might manifest in reality. We cannot assume that the mechanism we suppose or the model we provisionally create is itself the reality.

已翻译

赞

2 Gather relevant data

The next step is to gather the data that is relevant to your problem or question. This may involve collecting data from various sources, such as internal databases, external platforms, surveys, interviews, or social media. You need to ensure that the data is reliable, valid, and up-to-date. You also need to check for any gaps, biases, or errors in the data that may affect your analysis.

添加您的观点

Jacy Johnson

BI Workhorse
举报内容
Never mistake the data model for the data set. The points on the graph are the data; the lines connecting them, the tick marks, the averages, the smoothing we apply all confuses the model for the data. Our worst errors take place at the data conversion step, because we mistake our mental aids for the data.

已翻译

赞

3 Analyze the data

Once you have the data, you need to analyze it to find patterns, trends, correlations, or outliers that may provide insights or answers. You can use different methods and tools to analyze the data, such as descriptive statistics, inferential statistics, visualization, or machine learning. You need to apply logic, reasoning, and evidence to support your analysis and avoid fallacies or cognitive biases.

添加您的观点

Jacy Johnson

BI Workhorse
举报内容
No single method, tool, system or approach can meet every data challenge. We must therefore remain thoroughly skeptical of what we bring to the data. We often too quickly apply our "fixes" to the data to make it conform to our expectations: outliers are ignored, correlations are deemed impotent, moving averages are applied and damage is done to the data until we have made a textbook distribution that bears no resemblance to our underlying data set.

已翻译

赞

4 Evaluate the results

The final step is to evaluate the results of your analysis and see how they relate to your problem or question. You need to assess the strengths and weaknesses of your results, the limitations and implications of your data, and the assumptions and criteria you used. You also need to compare your results with other sources, perspectives, or alternatives and see if they are consistent or contradictory.

添加您的观点

Jacy Johnson

BI Workhorse
举报内容
Hypothesis testing requires us to be willing to actually modify that hypothesis, and to not depend on our childhood comforts like p-values to do all the thinking on our behalf.

已翻译

赞

5 Communicate the findings

After you evaluate the results, you need to communicate your findings to your stakeholders, such as customers, colleagues, managers, or partners. You need to tailor your communication to your audience, purpose, and context. You need to use clear, concise, and accurate language and visuals to convey your message and recommendations. You also need to acknowledge any uncertainties or risks and invite feedback or questions.

添加您的观点

Jacy Johnson

BI Workhorse
举报内容
If you actually understand what you measured, you should have no issue communicating that to other teams. If you struggle to reword a metric or segment into an understandable alias for your customers, you likely have measured the wrong thing.

已翻译

赞

6 Reflect and improve

The last step in critical thinking is to reflect on your process and outcome and see how you can improve them. You need to review your data analysis and identify what worked well and what did not. You need to learn from your mistakes and successes and apply them to your future projects. You also need to update your data and analysis as new information or changes occur.

添加您的观点

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Insurance

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

What are some ways to identify and analyze insurtech data using critical thinking?

1

2

3

4

5

6

7

1 Define the problem

2 Gather relevant data

3 Analyze the data

4 Evaluate the results

5 Communicate the findings

6 Reflect and improve

7 Here’s what else to consider

Insurance

给文章评分

感谢您的反馈

更多Insurance相关文章

更多相关阅读内容