Predictive Analytics Software Reviews and Ratings

I have been using Adobe Analytics for a long time now. It is an amazing product. Besides all the other great products by Adobe, this is an awesome tool for data analysts like me and also for Businesses to get reports and analysis on data. This is a predictive model which uses advanced analytics capabilities, uses current and historical data to draw out predictions about the future events. It is truly an exception tool and I would recommend everyone to use this.

Azure Machine Learning provides users a friendly environment which helps them to design, build and deploy machine learning models without prior extensive knowledge of coding. It offers the users a scalable infrastructure to train the machine learning models on large database efficiently. It can handle workloads from small scale experiments to large scale production deployments. Automated ML helps to automate the model selection, hyperparameter tuning process and feature engineering and hence makes it easy for users to build high performing models with minimal effort. Azure ML easily integrates with the other Azure services like Azure Databricks, Azure DataLake Storage. This simplifies the model deployment. Azure ML supports advanced deep learning, natural language processing , computer vision. The platform allows to track the model performance , diagnose issues and implement the model governance which ensures the reliability of the deployed models.

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 helped my customer to better understand the functionalties and challenges of Alteryx AI platform and I was member of tender commission. I supported IT team during the preparation of business needs and also to evaluate the waves of decided outcomes. With the winner of the competition we asked to check all our requirements in depth and to prepare a proof of concept. In the weanwhile customer management has prepared a dedicated project team and IT team for network implementation.

Spotfire is an excellent tool, with high levels of customization. It's so much more powerful than just using excel.

ChannelMix provides a reliable analytics product that challenges the status quo of how we analyze our data.

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,

As an administrator of the product, overall experience has been great as SAS has good resources online and great client support.

Strong AI model with real ROI, we had a use case that previously took up to 2 weeks to run 85 models, but with DataRobot, this was accomplished within a day. Models produced have high accuracy (R-squareds of 0.6-0.7)