今天，每个组织都拥有比以往更多的数据。但从中获得有意义的见解以提高运营效率仍然是一个巨大的挑战。数据分析^{(Data Analytics)}似乎是解决此问题的实用解决方案。

什么是数据分析

数据分析^{(Data Analytics)}是指在专业系统和软件的帮助下检查大量大数据^{(Big Data)(Big Data)}以发现隐藏模式、相关性和其他见解的过程。

这是一种趋势做法，许多公司正在接受并采用这种做法，以获得超越商业竞争对手的竞争优势并增加新的收入。但是，在将其放入应用程序之前，首先必须先了解其前景（类型、挑战和机遇）。

从市场的角度来看，有必要选择正确类型的数据分析^{(Data Analytics)}工具进行数据分析。

数据分析工具^{(Data Analytics Tools)}可以分为两种基本类型：

1. 简单的数据分析^{(Simple Data analytics)}

主要侧重于描述已经发生的事件，找到其根源并提供见解。

1. 复杂数据分析^{(Complex Data Analytics)}

它可以进一步细分为

• 预测建模^{(Predictive Modelling)}——挖掘收集的数据以寻找未来情况和行为的模式。
• 规范性建模^{(Prescriptive Modelling)}- 包含预测分析的结果，以建议可以利用预测场景的更正行动方案。

根据您组织对数据分析^{(Data Analysis)}的需求，您可以考虑使用上述任何数据数据^(Data) 分析^(Analytics)应用程序来处理大量数据，提高其运营效率并增加新收入。

数据分析用于什么

即使是简单的产品有时也存在非常复杂的潜在问题，因此需要通过数据分析整合不同的排列/工作解决方案以快速解决问题。^(Data)其他潜在的好处包括，

更快更好的决策^{(Faster and better decision-making)}

借助分析新数据源的能力，企业能够立即分析信息，并根据所学知识做出决策。

降低成本^{(Cost reduction)}

基于云的分析带来显着的成本优势。它有助于确定更有效的经商方式，而不是依赖过时的试错经验。

新产品和服务^{(New products and services)}

凭借通过分析来衡量客户需求和满意度的能力，越来越多的公司现在能够开发新产品来满足客户的需求。

遏制洗钱威胁^{(Curbing money laundering menace)}

^(Money)近年来，洗钱风险的复杂性和规模都在增加。事实证明，数据^(Data)分析在发现和追查跨国犯罪和洗钱方面有巨大帮助，从而加强了监管框架的执行方法。

希望这能给你一些关于数据分析的基本概念。^{(Hope this gives you some basic idea of Data Analytics is all about.)}

What is Data Analytics and what is it used for

Today, every orgаnization has more data than ever at its disposal. But deriving meaningful insights from іt to improve operational efficiency remains a potent challenge. Data Analytics appears to be a practical solution for this problem.

What is Data Analytics

Data Analytics refers to the process of examining copious amounts of Big Data to uncover hidden patterns, correlations and other insights with the aid of specialized systems and software.

It is a trending practice that many companies are embracing and adopting to gain competitive advantages over business rivals and drive new revenue. However, it is first essential to first understand its landscape (types, challenges, and opportunities) before putting it into the application.

From a market perspective, it’s necessary to choose the right type of Data Analytics tools for data analysis.

Data Analytics Tools can be distinguished into 2 basic types:

1. Simple Data analytics

Mainly focuses on the description of an event that has already occurred, finding its root causes and offering insights.

1. Complex Data Analytics

it can be further sub-categorized into

• Predictive Modelling – data collected is mined for patterns indicative of future situations and behaviors.
• Prescriptive Modelling – subsumes the results of predictive analytics to suggest a corrected course of action that can take advantage of the predicted scenarios.

Depending on the appetite for Data Analysis of your organization, you can consider any of the above data Data Analytics application to handle large volumes of data, improve its operational efficiency and drive new revenue.

What is Data Analytics used for

Even the simple products sometimes have very complex potential problems and so different permutations/working solutions via Data analytics need to be incorporated to quickly resolve the situation. Other potential benefits include,

Faster and better decision-making

With the ability to analyze new sources of data, businesses are able to analyze information immediately – and make decisions based on what they’ve learned.

Cost reduction

Cloud-based analytics bring significant cost advantages. It helps in identifying more efficient ways of doing business rather than relying on archaic trial and error experience.

New products and services

With the ability to gauge customer needs and satisfaction through analytics, more companies are now in a position to develop new products to meet customers’ needs.

Curbing money laundering menace

Money laundering risks have grown in complexity and scale in recent years. Data analytics has proved of immense help in detecting and pursuing transnational crime and money laundering, thereby strengthen regulatory framework enforcement approach.

Hope this gives you some basic idea of Data Analytics is all about.

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