  To enable data-driven decision-making across organizations, data
professionals need to share insights with their colleagues in
context-appropriate communication channels. Many of their colleagues rely on
data but are not themselves analysts; furthermore, their colleagues are
reluctant or unable to use dedicated analytical applications or dashboards, and
they expect communication to take place within threaded collaboration platforms
such as Slack or Microsoft Teams. In this paper, we introduce a set of six
strategies for adapting content from business intelligence (BI) dashboards into
appropriate formats for sharing on collaboration platforms, formats that we
refer to as dashboard snapshots. Informed by prior studies of enterprise
communication around data, these strategies go beyond redesigning or restyling
by considering varying levels of data literacy across an organization,
introducing affordances for self-service question-answering, and anticipating
the post-sharing lifecycle of data artifacts. These strategies involve the use
of templates that are matched to common communicative intents, serving to
reduce the workload of data professionals. We contribute a formal
representation of these strategies and demonstrate their applicability in a
comprehensive enterprise communication scenario featuring multiple stakeholders
that unfolds over the span of months.
