Who’s Who in Predictive Analytics
Predictive analytics is all about extracting information from raw data and using the data to predict trends and behavior patterns. Thanks to faster CPU speeds, cheaper memory and better architecture and technology in general (e.g., in-memory databases, Hadoop, MapReduce) it is now easier than ever to collect, process and analyze incredible amounts of structured and unstructured data.
There are different types of solution offerings for those interested in exploring predictive analytics. There are open source and freeware tools, proprietary systems, and software APIs for example and each (when used independently on in conjunction with one another) is capable of delivering insights into data regardless of what specific enterprise demands exist.
Predictive analytics definitely has the ability or capacity to greatly influence decision making within the enterprise. So who's who in the predictive analytics space? What solutions are companies using today to engage in these initiatives?
Check out 10 offerings in use by analysts at companies large and small today and if you've got a solution that you think deserves a mention, share it with the Website Magazine audience by submitting a comment below now.
SAS Predictive Analytics
SAS predictive analytics supports an integrated predictive modeling process that helps analysts solve complex problems, exploit data assets and drive better performance.
R is an free programming language and software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.
IBM Predictive Analytics
A predictive analytics solution enabling developers to apply statistical analysis, data mining, real-time scoring and decision management to human capital management, evidence-based medicine, crime prediction and prevention, supply chain analysis and more.
RapidMiner is a data science software platform that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics.
Google Prediction API
Google Cloud Prediction API provides a RESTful API and cloud-based machine learning tools to build Machine Learning models and analyze data to add features to applications, such as customer sentiment analysis, spam detection, and recommendation systems.
SAP Predictive Analytics
SAP Predictive Analytics is business intelligence software from SAP that is designed to enable organizations to analyze large data sets and confidently predict future outcomes and behaviors.
Oracle Data Mining
Oracle Data Miner creates predictive models that application developers can integrate to automate the discovery and distribution of new business intelligence-predictions, patterns and discoveries within the enterprise.
Apache PredictionIO is an open source Machine Learning Server built on top of an open source stack for developers and data scientists to create predictive engines for any machine learning task.
Dataiku Data Science Studio (DSS)
Data Science Studio from Dataiku is an integrated development platform for data professionals to turn raw data into predictions.
Microsoft Azure Machine Learning
Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop tool you can use to build, test, and deploy predictive analytics solutions on your data. Machine Learning Studio publishes models as web services that can easily be consumed by custom apps or BI tools such as Excel.