Join us as we dive into what makes data "high quality", identify the pitfalls to avoid, and equip you with actionable strategies to elevate your organization's data standards.
In today’s data-driven world, poor data quality can lead to costly mistakes, inefficiencies, and missed opportunities in terms of service quality, metrics, personalisation and AI. But how do you assess whether your data is truly "high quality"? And if it falls short, what steps can you take to improve it? This webinar will provide an introduction to the key dimensions of data quality, common pitfalls organizations face, and practical strategies to enhance data accuracy, completeness, and consistency.
Key takeaways:
1. How to assess the quality of your data
2. Common data quality issues
3. Strategies for improving data quality
4. Data quality tools and techniques
5. Q&A.
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