Part of building a strong TAM team is seeking skills that will help to advance practices rather than sustain the status-quo. For example, implementing a TAM program relies on data accuracy and strong data analytic skills. Typically, when an agency starts its TAM journey, data accuracy is an issue. When data is not accurate, people may lack the confidence necessary to use the data for making decisions.
Advancements in technology are changing the way data are collected, processed and analyzed, as well as how work is planned and carried out. As automation increases, certain routine tasks become obsolete, while it becomes necessary to acquire new skills to take advantage of improvements. With tools that produce more robust analysis, agencies will need fewer people who crunch the numbers but more people to interpret and communicate the results. As processes become more complex, new skills are needed to monitor and carry out checks and balances. TAM aims to cut across traditional silos, which gets complicated as more units and stakeholders get involved. Therefore, TAM units benefit from people who are comfortable dealing with complex processes.