A clear path to dramatic organizational improvement.
ClearPath Analytics allow organizations to understand the story that is told by their data.
Data analytics is the science of analyzing raw data in order to make conclusions about that data. Data analytics techniques reveal trends and metrics that would otherwise be lost in the mass of information. The trends and metrics are then used to optimize processes to increase the overall efficiency of a business or system. NBRI ClearPath Analytics transform data into true insights and change how business gets done.
For instance, an employee survey is reported in terms of its N’s, means, distribution of responses, and benchmarking scores, but it is analyzed by NBRI with a Root Cause Analysis, including random forest using managed machine learning and intercorrelations among the predictors for identifying multicollinearity in the regression. The output of the Root Cause Analysis provides Management with those 3 to 5 perceptions in employee thinking that are driving behavior. When these are addressed, employee productivity, engagement, and customer loyalty are improved in the most expedient manner possible.
Longitudinal studies, such as those of customers or guests with frequent data collections, again require random forest with managed machine learning, but also generalized estimating equations to fit a repeated measures logistic regression. Generalized linear mixed models may also be used by extending the linear model so that the target is linearly related to the factors and covariates via a specified link function.
With these type of analyses, clients are able to “cut to the chase.” There is no time or money wasted trying to decide what to work on or what actions should be taken. NBRI provides the analyses and the training to respond to the results. This expertise is a critical component of all scientific, psychological research, and the means by which NBRI provides clients with a clear path to dramatic organizational improvement.