In my previous role, I worked with a sophisticated decision support system that integrated real-time data from various sources including sales, inventory, and market trends. I utilized this system to analyze patterns and predict future market demands, which helped the company optimize inventory levels and reduce costs by 15%. By customizing the system's algorithms, I was able to provide actionable insights that directly influenced strategic decisions, leading to a significant improvement in operational efficiency and profitability.

Ensuring data accuracy is paramount. I implement rigorous data validation processes, including cross-referencing multiple sources and using statistical methods to identify anomalies. I also conduct regular audits of the data collection and entry processes to minimize human error. By maintaining a comprehensive data governance framework, I ensure that all data used in analyses is reliable, which in turn supports confident decision-making.

When presenting to non-technical stakeholders, I focus on clarity and relevance. I simplify complex data using visual aids like charts and infographics, and tailor my explanations to their specific interests and concerns. For instance, during a presentation on market trends, I highlighted key takeaways in layman's terms and discussed potential business impacts directly related to their roles. This approach ensures that all stakeholders not only understand the data but also see its value in driving business decisions.

I stay updated through continuous learning. I regularly attend webinars, workshops, and industry conferences to keep abreast of new technologies and methodologies. Additionally, I engage with professional networks and online forums to discuss and exchange ideas with peers. By subscribing to leading industry publications and following thought leaders on social media, I ensure that my knowledge remains current and relevant to evolving trends in data analysis and decision support.

When data is incomplete or ambiguous, I start by identifying the gaps and seeking additional sources of information. I use predictive modeling and scenario analysis to generate possible outcomes based on the available data. Collaborating with subject matter experts and stakeholders also helps in refining assumptions and making informed judgments. This iterative approach ensures that even with limited data, decisions are based on the best possible insights, minimizing risks and maximizing opportunities.