ABSTRACT
Oftentimes, project data needs to be systematically organized in order to analyze and compare a variety of characteristics. Šere is a famous proverb: “A clever person turns great problems into little ones.” Tables and matrices help do exactly this as they show relationships between groupings that assist in structured problem solving. It is difficult to understand data in its abstract form. When it is grouped and placed side by side against other related groups, the relationship can be figured out and the project data can be analyzed and utilized better. Sometimes, a single data point or data set on its own does not make much sense, but when used in conjunction with other data, they prove quite useful. Projects produce, use, and store volumes of data that needs to be structured and organized in the form of tables and matrices for analysis, reporting, and other communication purposes. Data organization could be as simple as one-to-one mapping between the project roles and responsibilities, or as complex as a very huge project dashboard.
