The initial challenge was apparent – a scattered data landscape causing discrepancies in reports due to multiple versions spread across different spaces. The audience-centric approach further fueled duplication of reports, creating static filters based on business lines instead of universally applicable dynamic filters. This resulted in varying datasets for the same report, multiplying the risk of discrepancies and undermining key performance indicators (KPIs). Maintenance of reports became a daunting task, lacking clear demarcation between development, testing, and production phases.
In response to these challenges, a strategic plan emerged, emphasizing the migration from scattered on-premises and Cloudera databases to a streamlined structure on AWS. The migration strategy focused on three key success indicators: creating high-performing and future-proof data models, improving reporting environment manageability, and ensuring data clarity and quality.
The migration yielded transformative outcomes. Workspaces are now meticulously managed, with a dedicated deployment pipeline for datasets and reports, maintaining separation between development, testing, and production. A consistent central dataset is used across all reports, and improved workspace structure enhances business confidence and understanding of the reporting landscape. In essence, the Power BI dataset and report migration not only resolved existing issues but also established a well-organized system for efficiency and clarity.
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