Predictive Analytics

Alteryx, a leader in self-service data analytics, has announced a new Predictive Analytics District in the Alteryx Analytics Gallery to make predictive analytics more accessible to data analysts through new tools, samples and analytic applications. These new applications enable data analysts with a self-service way to easily engage in predictive analytics.…

Spotfire Review 2016 Version 7.5 Version 7 was a major release for Spotfire, majoring on ease of use and a powerful user interface. The latest version 7.5 adds some significant capability in the area of collaboration, data connectivity , and very significant architectural enhancements. The in-analysis collaboration supports live discussion…

We need analytics to answer questions and discover hidden facts about our businesses. The questions are endless. Why did sales of a certain product spike last quarter? What strategies will reduce customer churn? How can we identify fraudulent activity? Business analytics technologies provide the means to answer many of these…

Predictive Analytics Software Summary Predictive analytics works on the simple notion that historical data contains useful patterns of behavior that can be discovered by apply pattern seeking algorithms to those data. Any candidate patterns can then be tested and validated in various ways, and if found fit, can be used…

Enterprise Analytics Enterprise analytics should deliver unambiguous models, avoid duplicated effort, provide ample mechanisms for monitoring model performance and resulting business performance, promote transparency, and support the discovery of opportunities and risks buried in data. We can state fairly categorically that this will not happen unless the analytical environment is integrated.…

Guide to Predictive Analytics The goal of predictive analytics software is to create predictive models which can predict the outcome of future events, with an accuracy that is greater than is currently possible. This is achieved by trawling through historical data, looking for patterns that might be useful predictors of…

Big data analytics is concerned with the creation of value from the wide variety and high volume of data associated with big data, and often at a speed that traditional data management infrastructures cannot handle. Until value is extracted from big data it is a pure infrastructure cost. New types…

We analyse data because we need to answer questions. What did sales look like last month? Why was production low in a particular unit? How has the customer base responded to the latest promotion? The questions are endless, and so is the need for business analytics technologies and methods. Fortunately…

IBM has announced 20 new industry-specific solutions with pre-built predictive analytics capabilities that will make it easier and faster for organizations across industries like retail, banking, telecommunications, insurance and others, to uncover and act on critical business insights. To ensure these solutions address the most critical business requirements in each…