Winning Business Excellence with Data Analytics
What is the significance of digital transformation? This is the answer to the question that every enterprise is looking for, and the most common answer is the reinvention of business processes.
Category: Big Data
Where does the data for Big Data come from?
Big data has always been a relatively mysterious industry, in recent years because of big data discriminatory pricing only by more than the average person to understand, so have you ever thought about big data whether it is developed or analyzed, where the data inside are coming from?
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 can big data help tennis players improve their performance on the court?
The combination of analytics and video can help coaches further improve player performance. The tennis community is now actively introducing various emerging technologies into all aspects of the sport.
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.
What is streaming data?
Streaming data includes a variety of data, such as log files generated by customers using your mobile or web applications, online shopping data, in-game player activity, social networking site information, financial trading floors, or geospatial services, as well as telemetry data from connected devices or instruments in your data center.
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.
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.
3 Ways to Overcome Big Data Obstacles
In order to unlock the potential of advanced visualizations that enable organizations to analyze multiple sources of information and uncover hidden patterns and trends, certain challenges of leveraging big data should be addressed.
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.
