Business intelligence (BI) professionals rely on data models, pipelines, visualizations, and dashboards to deliver data‑driven insights. However, these solutions only work effectively when data availability is ensured. Data availability refers to how easily timely and relevant information can be accessed and used. Several factors can compromise data availability and reduce the quality of BI solutions. This post explores the most common challenges and how to overcome them. Key Takeaways Data availability is essential for accurate, timely, and actionable BI insights. Integrity, visibility, update frequency, and change are the main availability challenges. Improving availability strengthens trust, decision‑making, and business outcomes. BI teams must collaborate across departments to uncover hidden or siloed data. Data Availability Challenges The most common challenges affecting data availability include: Integrity Visibility Update freq...
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