Efficient management of data used for testing is essential to maximizing return on investment and supplementing the testing efforts for the highest levels of success and coverage. If the data used in testing does not promote ease of use and adaptation, poorly represents the sampled source, or consumes excessive resources for preparation and maintenance, a negative impact on the desired outcome quickly manifests and continues to degrade the quality of results. To balance in favor of positive results and improved returns, consider the process, potential challenges, and possible solutions involved in TDM.