Date: February 17, 2015

Author: Jeremy DalleTezze

KPIs, reports, and dashboards often provide real-time insights into what people believe are important to their business and their customers--but are our beliefs and assumptions accurate? As tech evolves due to commoditization and customer preferences for consumption, organizations can leverage predictive analytics to replace assumptions with continually validated relationships among success plays, performance metrics, and business outcomes. We provide a framework for this validation process in addition to exploring specific advanced analytics' topics such as multivariate outlier analysis, pattern recognition, rule learning, and statistical modeling.

Applicable Disciplines:
Education Services;Field Services;Professional Services;Customer Success and Support;Service Revenue Generation-Recurring;Managed Services

service capabilities

Functional Areas:
Engineering;Finance;Human Resources;Marketing;Operations;Partner Management;Professor;Research;Sales;Service Delivery;Strategy;Student;Training

Consumer Technologies;Enterprise IT and Telecommunications;Healthcare and Healthcare IT;Industrial Automation;Other