Predictive Analytics Software Reviews and Ratings

If you like to analyze and derive meaningful insights to enhance the overall organization strategies, this is the perfect product for you. It is a robust analytics product designed by Adobe which allows users to read and analyse large datasets easily.

Azure Machine Learning, also addressed as AML in the data science community, provides numerous tools and products for ML applications. AML has a very intuitive user interface and covers almost all applications in its domain. The tools and models provided have high accuracy and recall.

SAP Analytics Cloud offers a seamless and intuitive user experience with its integrated platform for business intelligence, planning and predictive analytics. Users benefit from an interactive interface, real-time data visualization and collaborative features. While cloud-based nature ensures accessibility from all devices, AI driven insights enhance decision making. It provides robust tools for data exploration and storytelling, making complex data analytics more straightforward and engaging for both technical and non-technical users.

I have been using Alteryx and it has been a great support in our analytics journey and together with its AI platform. It has provided us with better data insights and reliable results which has made our decision making more effective and responsive in achieving better results. At the same time, I would like to say that it has driven impact on coordinated and collaborative work with its other tools.

It is the most powerful tool for data analysis and visualization with its extensive capabilities and advanced features. I have positive experience with its advanced analytics, visualization tools and high performance make it easier to use.

Data administration and helping with the analysis and interpretation of research data are frequent examples of duties for the research support coordinator. In this particular situation, using sophisticated tools such as IBM SPSS Modeler becomes imperative.

My overall experience with spotfire was quite amazing. It helped me analyze large data which excel could not handle with ease and the output was quite accurate

SAS Viya has been tremendously helpful within the workplace because of its ability to help make predictions and forecast trends of what the next outbreak of diseases or trends within healthcare facilities that we may see. When having to deal with so many different sources of data it can be difficult to manage parentheses but is easily done through the application of this software. It is great to be able to utilize one system and pull information from many different data sources, which not only increases our efficiency in producing visualizations tables, but also produces results for our deliverables. Overall, it has boosted efficiency in meeting timelines and emphasizes an importance in creating effective visualizations that other platforms are not as able to efficiently as this one.

It is very user friendly. They have great customer support. They can automate all digital reporting and solve pacing challenges. It can aggregate data from various sources, helping in analysis.

KNIME is indeed a strong and flexible tool, it works well in automating data workflow and drag-and-drop features makes it easier. It can be especially helpful in the integration of data and processing complex sets of analysis, making it a valuable tool for predictive analysis. However, performance with large datasets and learning advanced features can be challenging and overwhelming for beginners. Overall, I can say it's my go-to tool every time.

It is a very positive experience because in trial period itself I could figure out its a very powerful tool and has a intuitive UI to build and helps very well to deploy machine learning. You can use this even if you have very little technical experience.