2.1 Context2.2 Models in the Background2.3 Problem Space: Are We Asking the Correct Questions?2.4 Solutions Approach: The Elusive Quest to Build Bridges Between Data and Decisions2.5 Avoid This Space: The Deception Space2.6 Explore the Solution Space: Necessary to Ask Questions That May Not Have Answers, Yet2.7 Solution Economy: Will We Ever Get There?2.8 Is This Faux Naïveté in Its Purest Distillate?2.9 Reality Check: Data Fusion2.10 “Double A” Perspective of Data and Tools vs. The Hypothetical Porous Pareto (80/20) Partition2.11 Conundrums2.12 Stigma of Partition vs. Astigmatism of Vision2.13 The Illusion of Data, Delusion of Big Data, and the Absence of Intelligence in AI2.14 In Service of Society2.15 Data Science in Service of Society: Knowledge and Performance from PEAS2.16 Temporary ConclusionReferences