Low-latency analytics is a technology that enables processing and analyzing big data in real time or near real time. It is critical in big data processing because it allows organizations to extract insights from data faster.

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.

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.

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

With the gradual development of big data, there is more and more data, and data analysis is especially important.

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.

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.