Gartner has released the top 10 data and analytics (D&A) trends for 2023. These trends can guide data and analytics leaders in anticipating change and turning huge variables into new business opportunities, thus opening up new sources of value for their enterprise organizations.

In the context of digital transformation, as it relates to business change and digital support, the need for IT departments and business departments to work closely together, the responsibility is not clear if it is even easier to fall into the whirlpool of meetings and communication.

It has been on the lookout for digitization for a long time, it's just that I'm hesitant to do it." This is probably the heart of many business operators. The key to the problems encountered by traditional manufacturing enterprises still lies in the weak foundation of digitalization.

In the era of big data, data has become an important asset for enterprises and individuals, and how to extract useful information and tap potential value from massive data has become a concern for every organization and individual. As an intuitive and efficient way to display data, large visualization screen is gradually becoming the first choice of enterprises and individuals.

As technology continues to advance and global demand for the Internet increases, the space and satellite Internet industry plays an important role in connecting the world and providing high-speed Internet access.

With the development of digitization in all aspects of society and the rapid growth of the digital economy, data has become an important strategic resource in the current era.

Data Warehouse (Data Warehouse) abbreviated as DW, an integrated center for storing large amounts of data. The purpose of the data warehouse is to build an analytics-oriented integrated data environment for the enterprise to provide decision support (Decision-Support).

Data governance is the set of strategies, processes, standards, metrics, and roles that ensure the effective use of data to support an organization in achieving its goals.

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.

The data grid can overcome many challenges inherent in big data by driving higher levels of autonomy and data engineering alliances among a wider range of stakeholders. However, big data is not a panacea, it brings a series of risks for enterprises to manage.