The data analytics industry continues to experience considerable growth, and this is likely to continue for the foreseeable future. Trends in data analytics tend to be intrinsically linked with technological advances and developments. So, what are the key data analytic trends you can expect to see in 2025?
Smarter Artificial Intelligence
The continued advancements in technology will lead to smarter and more scalable AI and Machine Learning solutions for data analysis. This will include those that can work with smaller data sets, and also some that can reduce the need for manual intervention.
Data Visualisation
Data visualisation is something that is likely to gain popularity in 2025 and beyond. It is a way of making complex data more digestible and easier to understand when making decisions. It can be presented in various formats including charts, graphs, and even animations.
Hybrid Cloud Services and Cloud Computation
Hybrid cloud systems, combining public and private clouds, are likely to become the preferred choice in 2025. They offer a balance between affordability, security, agility, and functionality.
Edge Computing
From a data perspective, edge computing is a way of bringing data processing and analysis physically closer to where the data is generated. This also keeps the data safer because it has less distance to travel.
Data Experts
If you feel that your organisation could benefit from the expertise of a data analysis company, specialists such as shepper.com/ are able to offer a range of solutions and services.
Augmented Analytics
A relatively new concept, augmented analytics uses Machine Learning, Artificial Intelligence, and Natural Language Processing to enhance and automate data analytics, business intelligence, data sharing, and insight discovery. It is able to deal with external and internal data and make business data processes easier and more robust.
Dynamic BI Tools and User-Created Dashboards
Static dashboards have probably had their time. They are likely to be replaced by more modern, dynamic and tailorable Business Intelligence tools and interactive dashboards which users can control themselves. This will potentially save money as well as improve insight and understanding.
