Predictive Analytics Software Reviews and Ratings

My experience was as good as hoped with Adobe Analytics. The detailed reports help me to understand what I am missing and where I need to work. Also, with the help of customizing dashboards I can create my own dashboard with data which is most important for me. Sometimes it gets slow while handling large scale data and it's a bit expensive.

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.

Our university stands as a completely different place from what it was before when handling data analytics using Oracle Analytics Platform. Making sound decisions mostly in academic fields and enhancing future strategies within different sections are among the merits of this thorough analytical solution with regard to higher learning institutes and their administrations.

The use of IBM SPSS Modeler at our university has changed the way we analyze data. We have greatly improved scientific research and business intelligence as it enables us to make informed decisions in different departments

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.

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

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.

My experience with KNIME Analytics Platform data analytics tool is satisfactory and this has helped our org from data scientists to business analysts. It offers extensive capabilities for data extraction, blending, transformation, visualization, and advanced analytics without having high level coding skills. It is a powerful, flexible and user community-supported product that caters to the different needs of analytics,

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 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.