Published: 08 July 2024
Financial planning and analysis leaders often struggle to align their data and analytics governance strategy with business outcomes, leading to poor data quality. This research provides recommendations on how to use a metrics cascade to improve D&A governance and increase overall data quality.
When data and analytics (D&A) governance is not aligned with business outcomes, impacted decision makers may become skeptical of its value and struggle to make a real business case for investing in it. Even worse, others may resist D&A governance initiatives altogether, perpetuating poor data quality and decision making.
Financial planning and analysis (FP&A) leaders often give decision makers metrics or KPIs that are not relevant enough to be actionable. This confuses decision making with unnecessary information and can shift D&A governance’s focus away from where it’s most needed.
With so many opportunities available, understanding how to define and prioritize
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