RABIT: Reflective Analytics for Business InTelligence

Abstract

Self-tracking enables individuals to monitor things like their behavioral, biological, physical or environmental data, offering the means for reflection and self-growth. Reflective Analytics utilizes educational data mining and learning analytics to further empower the reflection process by unveiling hidden insights regarding one’s productivity. While a number of productivity monitoring systems exist, they focus solely on personal analytics and lack the ability to identify best practices within teams or organizations. We present RABIT (Reflective Analytics for Business InTelligence), a platform that enables the observation, analysis and reflection on analytical work patterns at various levels within an organization. It seamlessly monitors/logs fine-grained information regarding the users’ data exploration process and generates insights for the individual, team and organization. RABIT is evaluated in a real world setting with ten analysts and is shown to hold the promise for detecting problems and planning contingencies, identifying opportunities for change, and adopting best practices.