Gartner: Data Analytics Helps Build a New Equation of Business Value

This year's Gartner release on the key data and analytics trends for data and analytics leaders to leverage in the enterprise in 2022 breaks down into three main themes: energizing and diversifying the enterprise, empowering people and decision making, and institutionalizing trust.
read more

What is the value of data analysis?

With the advent of the digital age, data has become one of the most valuable assets in businesses and organizations. And data analytics is the key tool to turn this data into real value.
read more

How big data analytics is reshaping the future of smart cities

As the world continues to urbanize and the amount of data generated by cities grows, the importance of big data analytics in shaping the future of urban life will only increase.
read more

How does big data start? From small data to big data

To do big data, first of all, you should understand what is the core of your own enterprise or industry. We often find that many enterprises are defeated not by their current competitors, but by many competitors who are not your competitors. For a simple example, everyone thinks that Amazon is an e-commerce company, but this is wrong. Its main revenue now comes from the cloud (cloud service). That is to say, enterprises need to find their own core data (value).
read more

Talking about data lake and data warehouse

Data Lake is a term that has emerged in the past decade to describe an important part of the data analysis pipeline in the big data world.
read more

Benefits of big data analysis and how to analyze big data

Big data analysis is a complex process of analyzing a large amount of data to discover information such as hidden patterns, relevance, market trends and consumer preferences, which helps enterprises make better decisions.
read more

Do I need to know Python to learn Big Data?

Python as a recognized language suitable for big data, want to do big data development and big data analysis, not only to use Java, Python is also very important a core.
read more

Why do 85% of Big Data projects end up in failure?

Companies tend to make their Big Data projects large in size and scope when implementing them, but the truth is that most Big Data projects usually end up in failure.
read more

Uncover 10 big data myths

To ensure that your organization's big data plan is on track, you need to eliminate the following 10 common misconceptions. Let's look at them together.
read more

How Research Institutes Should Use Data Analytics Tools to Improve Research Efficiency

With the increasing maturity of data analytics technology, research institutes should actively utilize data analytics tools to improve research efficiency.
read more