Missed our webinar on 2025 trends in data observability? No worries—we've got you covered! Dive into the key insights with our full recap here. In a recent insightful webinar, Salma Bakouk , co-founder of Sifflet, shared her expertise on the pivotal role of data observability in today's rapidly evolving business landscape and the five top trends she sees around it for 2025. As organizations prepare for the challenges and opportunities of the upcoming year, Salma's insights offer a strategic framework for enhancing data and AI initiatives.
Salma emphasized that data observability is not merely a technical term but a comprehensive practice involving all data stakeholders—from producers to consumers. She highlighted that for data initiatives to be successful, data observability must be a shared responsibility across the organization, ensuring data reliability and trust.
In this webinar, Salma brought attention to a pressing issue: despite the global investment in big data and analytics projected to reach $600 billion by 2029, poor data quality remains a trillion-dollar problem. She noted that data engineers and scientists often spend a significant portion of their time addressing data quality issues, leading to substantial financial losses, with research indicating average losses of $13 million per company annually.
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A key takeaway from Salma's discussion was the necessity of aligning data observability with business goals. She advocated for treating data as a product, managed to drive growth and efficiency. Organizations were encouraged to set measurable goals and KPIs that directly link data quality efforts to business outcomes, ensuring that data observability serves a strategic purpose.
Salma underscored the importance of a strong data governance framework to support data observability. This framework should define roles and responsibilities, ensuring accountability and standardization. Such a structure is essential for managing data quality effectively and fostering a culture of responsibility within organizations.
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Scalability was highlighted as a crucial factor when selecting data observability tools. Salma pointed out that these tools should enhance team productivity and collaboration, allowing organizations to adapt to increasing data volumes and evolving business needs. Features like automated monitoring and incident management were identified as key components of effective tools.
Salma also focused on the importance of fostering a data-driven culture. She recommended training programs and strategic initiatives that promote data literacy and collaboration. Examples of successful programs that engage stakeholders and build a shared understanding of data quality's impact were shared, highlighting the benefits of a collaborative approach.
Participants were encouraged to stay informed about emerging trends and technologies. Salma suggested engaging with industry peers and running pilot programs to test new approaches as effective strategies. The advice was to remain focused on what truly benefits the business, ensuring that data observability efforts are aligned with organizational goals.
Salma's webinar served as a call to action for organizations to embrace data observability as a critical component of their data strategy. By aligning observability with business objectives, establishing strong governance, and investing in scalable tools, companies can improve data quality and drive better outcomes. As the data landscape continues to evolve, staying informed and adaptable remains key to success.
Feeling like you missed too many details? Fear not as you can watch the webinar on replay here
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