System and method for use with a data analytics environment to determine a probability of failure or downtime in work orders

A method for use with a data analytics environment to determine a probability of failure or downtime in work orders, comprising:

• providing, by a computer including one or more processors, access to a data analytics environment;
• providing a work order application at the data analytics environment, the work order application providing a work order canvas at which a work order comprising an instance of a work order asset is identified;
• generating, by a prediction engine of the data analytics environment, an indication of a likelihood of success of the work order, wherein the prediction engine utilizes data associated with the instance of the work order asset to provide the indication of the likelihood of success;
• and
• providing the indication of the likelihood of success of the work order via an interface.

A non-transitory computer readable storage medium having instructions thereon for use with a data analytics environment to determine a probability of failure or downtime in work orders, which when read and executed by a cause a computer to perform steps comprising:

• providing, by the computer, the computer including one or more processors, access to a data analytics environment;
• providing a work order application at the data analytics environment, the work order application providing a work order canvas at which a work order comprising an instance of a work order asset is identified;
• generating, by a prediction engine of the data analytics environment, an indication of a likelihood of success of the work order, wherein the prediction engine utilizes data associated with the instance of the work order asset to provide the indication of the likelihood of success;
• and
• providing the indication of the likelihood of success of the work order via an interface.