Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Organizations aspire to a single source of truth to improve data-driven decision making. All too often, data is locked inside data silos, raising the question: if a single source of truth is key to unlocking value from data, what should organizations do to get there? This paper presents findings from a survey of 400 E.U. and U.S. organizations. First, cluster analysis reveals three organization types based on value from a single source of truth: data laggards, data followers, and data champions. Next, we show that data champions are more likely to have an adaptable and flexible IT infrastructure alongside a culture of data sharing. They report fewer inhibitors of a single source of truth such as conflicting data standards. Data laggards report fewer IT enablers but also, paradoxically, fewer inhibitors. We turn these results, and insights gleaned from follow-up interviews with IT executives, into a set of non-technical prescriptions for organizations.
Recommended Citation
Queiroz, Magno; Tallon, Paul; and Coltman, Tim, "Data Value and the Search for a Single Source of Truth: What is it and Why Does it Matter?" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 2.
https://aisel.aisnet.org/hicss-57/os/practice-based_research/2
Data Value and the Search for a Single Source of Truth: What is it and Why Does it Matter?
Hilton Hawaiian Village, Honolulu, Hawaii
Organizations aspire to a single source of truth to improve data-driven decision making. All too often, data is locked inside data silos, raising the question: if a single source of truth is key to unlocking value from data, what should organizations do to get there? This paper presents findings from a survey of 400 E.U. and U.S. organizations. First, cluster analysis reveals three organization types based on value from a single source of truth: data laggards, data followers, and data champions. Next, we show that data champions are more likely to have an adaptable and flexible IT infrastructure alongside a culture of data sharing. They report fewer inhibitors of a single source of truth such as conflicting data standards. Data laggards report fewer IT enablers but also, paradoxically, fewer inhibitors. We turn these results, and insights gleaned from follow-up interviews with IT executives, into a set of non-technical prescriptions for organizations.
https://aisel.aisnet.org/hicss-57/os/practice-based_research/2