Touchpoint Pattern Analysis
Written by Michael McAlary
Services Area: Risk and Strategy
Industry Sector: Energy and Utilities
Chairmont has developed a Touch Point Pattern Analysis diagnostic within a Big Data world aimed at improving the effectiveness and efficiency of businesses and governments.
“Big Data” refers to the increasing volume and detail of information captured by enterprises and through the rise of multimedia and social media that will drive the accelerating growth in data going forward. Chairmont has developed a Touch Point Pattern Analysis diagnostic within a Big Data world aimed at improving the effectiveness and efficiency of businesses and governments. This diagnostic has been conceptually applied to the effectiveness of social security and welfare expenditure.
Governments often allude to measurement deficiencies in respect of their “value for money” principle in respect of inputs and outputs versus desired outcomes. These deficiencies are in respect of the lack of evidence of a clear relationship between expenditures and outcomes. Chairmont’s Pattern Analysis tool leverages our SPEM diagnostic (refer separate case study) as applied to the welfare system.