SAP Predictive Analysis Review - why 4.8 stars?

SAP Predictive Analytics is a web-based statistical analysis software and data mining software that enables its users to develop and build predictive models for discovering the hidden intelligence and relationships within the data, from which subsequently users can make predictions about any events that will happen in the future. The SAP Predictive Analytics software can be installed in a single go on desktops, and it includes two user interfaces, Automated Analytics and Expert Analytics, respectively.

In addition, the SAP Cloud also has augmented analytics features powered by technologies like Artificial Intelligence, Machine Learning, and Deep Learning, etc., which automate and enhance workflows and optimize productivity. SAP Cloud or SAP Predictive Analytics offers a wide variety of services. It includes automated analytics and expert Analytics, respectively.

The Automated Analytics interface has the following features; a Data Manager for analysis and working, a Modeler for creating models such as a classification model, regression, clustering, & time series model. Expert Analytics aids the user in performing a variety of analyses on the data that users feed it, including forecasting, anomaly detection, classification, regression, and others.

SAP SE is a German software company that originated from Walldorf. The company develops enterprise resource planning (ERP) software to curate and handle business processes such as customer relations and management. Their most famous product is ERP software.

The rating of SAP Predictive Analysis is 4.8 stars out of 5 and the total score is 91 out of 100. The ratings are based on our unbiased experts. Learn more in our rating methodology page

Customers of the software include businesses of all sizes hailing from a variety of industries. Major industries and domains where it can be used include automation and manufacturing, retail and wholesale, technology and electronics, media and entertainment, education, healthcare and hospitality, and others.

SAP Predictive Analysis is ranked 9 out of 532 software in their category (Business Intelligence systems).

The software helps in building predictive data models in order to discover hidden data relationships and make accurate predictions about future events. Support is offered for a wide range of predictive methods including decision trees, linear regression, logistic regression, market basket analysis, model ensembles, neural networks, self-organizing maps, and time series data mining. It also supports various code formats including C, Java, PMML, and XML etc.

For reliable predictive model validation, SAP Predictive Analytics offers ROC charts, ROI metrics, and validation partition. Its data preparation features include data sampling, binning, data merging, and outlier filtering. Other important capabilities include data clustering, variable selection, in-database and in-memory data processing, and others.

SAP Predictive Analytics software, the SAP Cloud, has three competitors: Sales Cloud Einstein by Salesforce, IBM SPSS Modeler by IBM, and Azure ML by Microsoft.

• Customer Base/Headquarters: Microsoft Corporation is one of the world most famous technology companies that produce software, electronics, personal computers, and more. It is an American company and is best known for its MS Office Suite and MS Windows products. Microsoft was ranked as the 21st in the world, ranking the 2020 Fortune 500 as the largest United States organization when compared by total revenue.
  
  International Business Machines Corporation (IBM) is another American multinational technology company operating in 171 countries. Its headquarters are located in Armonk, New York, with a customer base worldwide, including third-world countries. Salesforce is another American company that develops cloud-based software. Its headquarters are located in San Francisco, California. It provides customer relationship management (CRM) services for small, medium, and large-sized organizations.
• Functionality: Microsoft Azure is a platform that offers up to 70 percent fewer iterations for training models on datasets. In addition, it features up to 90 percent of lesser lines of code for pipelining processes. Microsoft boasts 60 compliance certifications, and it is the only platform that integrates the PyTorch Enterprise features. Users can easily label the training data, create, access, and manage datasets with the software.
  
  The software also provides the facility to continuously monitor model performance parameters, detect when the data strays away, and subsequently trigger retraining to improve the model performance. The IBM SPSS Modeler enables the user to harness the capabilities of the open-source platform, including developing or coding on R or Python.
  
  The software is offered both on-premises and a public or private cloud-based platform. In addition, it has the features of enabling users to refine the data process by streamlining the data streams. It also can audit data. Sales Cloud Einstein is the predictive analytics software offered by Salesforce. It is a vast software with a variety of domains of features.
  
  It has domains such as a Contact Management Software, an Opportunity and Lead Management platform, report generation ability, customizable and dynamic dashboards. It also includes pipelining processes management, automation of all work processes, data management, and file sharing, syncing of files.
• Support: Salesforce offers customer support by 24/7 live chat, phone numbers, the option of potential customers providing them information and having a representative contact them, or contacting them via email. Microsoft has its community where users offer solutions and troubleshoot problems, 24/7 chat, email services. IBM provides support by 24/7 chat, email, and contact numbers by countries offices they operate in. Finally, SAP provides customer support by 24/7 live chat, email support, and country-specific phone numbers.

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