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Breaking Down Data Silos: A Practical Framework from the Field
- Data silos hinder effective decision-making by requiring excessive time for data preparation rather than analysis, as per IDC reports.
- Silos arise from isolation within people and technology, leading to issues such as time inefficiencies, data quality concerns, scale problems, and access challenges.
- Breaking down data barriers necessitates a dual strategy involving human cultural change and technological advancements.
- Establishing a data culture involves educating teams on data literacy, fostering collaboration, and gaining leadership support.
- Effective data management demands a comprehensive approach ensuring data quality, consistency, context preservation, and accountability.
- Implementing a 6-part framework, including domain empowerment, clear governance, trust-building standards, unified discovery, automated governance, and connected tools.
- Successful companies like Autodesk, Contentsquare, Porto, Nasdaq, Kiwi.com showcase diverse yet effective governance structures for managing and sharing data.
- Standardized practices, unified discovery layers, automated governance, and connected tools can enhance data efficiency and decision-making processes.
- The framework highlights the importance of clear ownership, governance, trust-building, automation, connectivity, and alignment for breaking down data silos.
- Adopting a systematic approach to dismantling data silos can lead to accelerated organization progress towards becoming data-driven and fostering innovation.
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