Shivani Pimpli writes about practical ways organisations can improve the quality, reliability and value of their data. Through clear frameworks and real-world examples, her work helps readers understand where data quality breaks down and how those issues ripple into operations, customer experience and revenue.

By exploring pillars such as accuracy, completeness, consistency and timeliness, Shivani’s stories offer actionable strategies for monitoring, diagnosing and fixing data problems at the source. Readers looking to turn messy, error-prone data into a trusted asset will find step-by-step guidance, common pitfalls to avoid and tools to build more resilient data practices.