Types of Big Data Analytics Data
With the gradual development of big data, there is more and more data, and data analysis is especially important.
Category: Big Data
Accurate data is more important than more data in the healthcare industry
By 2025, healthcare data is expected to grow at an average annual rate of 36%, far outpacing other sectors such as manufacturing, financial services, the media industry, and entertainment.
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.
Big Data Case Study Sharing - "Interesting Big Data"
Big data has been closely related to our life, many enterprises have started to use big data, even a small thing in our life may be related to big data.
What is the biggest gap in the big data trend sweeping the world?
With the continuous improvement of big data infrastructure, data analytics and business intelligence tools will gradually become the mainstay of big data. Therefore, the big data industry will develop toward these trends in the coming years.
Six big data mistakes that enterprises should avoid
The application of big data is just like the use of credit cards. The better you use it, the greater the income. On the contrary, can enterprises bear the cost of mistakes in big data? This article describes 6 major mistakes and solutions.
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.
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.
How Big Data is changing the nature of consumer lending
In the digital age, the emergence of disruptive technologies has changed the nature of lending. Thanks to big data, the lending process is now less about the bank and more about the customer.
