Lifting performance by eliminating data silos
-Adam Sharman, Senior Partner, Dsifer Organisations are collecting more data and this trend is only set to continue as IoT adoption accelerates. However, too often, this valuable resource is locked away in silos, inaccessible to the people who need it most. These data silos can stifle innovation, hinder collaboration, and prevent organisations from fully realising the potential of their data. In this article, why data siloes form and how to overcome them to create a more data-driven and agile organisation. Data silos are isolated pockets of data within an organisation that are segregated from the rest of the data ecosystem. These silos can emerge for various reasons, including departmental boundaries, incompatible data formats, or data stored in separate systems that don’t communicate effectively. When data is trapped within these silos, it can’t be easily shared, analysed, or leveraged for making informed decisions. Several factors contribute to the formation of data silos within organisations: Lack of Data Governance: Without a robust data governance framework in place, there can be confusion regarding data ownership, definitions, and quality standards, allowing multiple data repositories to form with multiple governance approaches which can exacerbate data silos. Departmental Barriers: Different departments within an organisation often maintain their own data repositories and systems. This division can lead to data silos, as departments may be hesitant to share their data due to concerns about data security, ownership, or privacy. Legacy and Rogue Systems: Outdated technology and legacy systems may not support modern data integration and sharing. This can result in data becoming stuck in older systems, inaccessible to newer, more agile solutions. Rogue systems are those that sit outside the organisation’s formal governance framework and, as such, are typically not integrated in to the organisation’s data architecture. Cultural Barriers: In some cases, a culture of information hoarding can […]