数据科学与分析咨询

The digital revolution is becoming more popular in the consulting industry. The result is a lot of opportunities available to enhance the experience of the clients. Despite this, consultants have to gain new knowledge to remain ahead. There has been a global surge in how companies spend on analytics consulting. Investment is between spending on external consultants and creating capabilities in-house.

Data analytics is a method of extracting and drawing conclusions from data to make better decisions. This technology is fast-rising. It uses artificial intelligence, statistics, and advanced market knowledge. Users gather this data to figure out essential patterns in large sets of data. Deploying smart analytics provides excellent insights into the performance metrics of a company. It also shows the complicated changes taking place there.

数据分析的类型

一般来说，数据分析有四种类型。它们是：

1.描述性分析

Descriptive analytics provides expository information. It answers the fundamental questions of what, who, where, when, and how many. It is not possible to have dashboards and Business Intelligence tools without it, because it is the backbone of reporting. We can further divide Descriptive Analytics into two groups: canned reports and ad hoc reporting. Canned reports contain information about a particular subject. An example is a monthly report providing information on ad performance. Ad hoc reporting is usually not scheduled. It is essential to get better information about a particular issue. You can do this through social media by viewing the people who have interacted with your page. It also helps you get other demographic data. Ad hoc reporting is hypersensitive, and it provides a bigger picture of your audience.

2.诊断分析

诊断分析回答了为什么会发生某事。它将历史数据与其他类型的数据进行比较。诊断分析使您能够深入研究。它可以帮助您找到依赖关系并找出模式。企业利用这种分析来深入了解特定问题。组织需要始终拥有详细的数据。否则，数据收集可能看起来是针对每个挑战的单一收集，并且会耗费更多时间。诊断分析会在潜在问题出现之前向您发出警报。例如，它可以让您知道哪些员工的工作时间比应有的少。

3.预测分析

预测分析为您提供有关未来可能发生的事情的信息。它利用了描述性分析和诊断性分析的发现。它可以帮助您发现集群、趋势和例外。然后，您可以预测未来可能发生的趋势。因此，预测分析是一种至关重要的预测工具。尽管它有很多优点，但预测仅提供估计值。其准确性取决于数据的质量。因此，它需要定期优化和仔细处理。

4.规范分析

这种分析规定了要采取的措施，以防止将来出现任何问题。它还利用了所有有希望的趋势。这种分析是大数据和人工智能发挥作用的地方。统计建模用于评估情况以证明或反驳假设。人工智能用于根据许多变量预测潜在结果。

Data science and analytics consulting are essential to all businesses. It can help them create new products. It also makes them more efficient for better performance and enhances the customer experience. It provides information for better decision-making and detects challenges and opportunities. It makes forecasts that can reduce labor and cost, saving time.