Bringing Data into the Conversation: Adapting Content from Business Intelligence Dashboards for Threaded Collaboration Platforms
Hyeok Kim, Arjun Srinivasan, Matthew Brehmer

TL;DR
This paper presents six strategies for transforming BI dashboard content into shareable formats suitable for threaded collaboration platforms, enhancing data sharing and communication within organizations.
Contribution
It introduces a formal set of strategies for adapting BI content for collaboration tools, considering data literacy and communication workflows, with practical applicability demonstrated in a real-world scenario.
Findings
Strategies effectively facilitate data sharing in collaboration platforms.
Templates reduce workload for data professionals.
Application demonstrated over a multi-month enterprise scenario.
Abstract
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,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
