Predictive Analytics

35676165 - coal-fired power plant , cooling towers and river surface reflection , jiangxi , china

Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data.

The ROI of predictive maintenance is usually measurable – a plus in justifying the project. Many organizations are turning to predictive analytics to increase their bottom line and efficiency and therefore competitive advantage. It can make the difference between business success or failure.

Predictive analytics is no longer just for data scientists. If done well, many knowledge workers can utilize predictive analytics. Predictive models use known results to develop (or train) a model that can be used to predict outcomes. Models provides results in the form of predictions for a target variable associated to a probability. Here is our primer on “Data Science for Everyone“.

Predictive analytics applies to all kinds of machinery operations, fraud detection, marketing campaigns and all kinds of risk management.

We built a test drive for predictive maintenance for you. Let us customize it with your data and put your company on the fast track to predictive analytics success.

Experience how our solution with HPE Vertica enables you to store in near real time sensor data from multiple cooling towers across the USA and predict equipment failure ahead of time to provide continuity of service. In this AWS Test Drive, we will create an instance of the Vertica Cluster and generate readings from multiple cooling towers in real time that are stored in Vertica. The test drive also includes a web based dashboard that interacts with Vertica to leverage machine learning algorithm such as logistic regression to predict risk of failure to prevent down-time. You will have 4 hours to play, query and analyze the dataset.

Try is now for free here. Choose the “HPE Vertica Predictive Maintenance Testing Trial”.