Speaker: Warren Dyson
IT Business Relationship Manager in Life Sciences
Speakers: Marc McGurk and Simon Beressford, SplashBI
Oracle Data Liberation: Moving from Manual Extraction to Instant Insight
Warren Dyson - IT Business Relationship Manager in Life Sciences
Warren Dyson is a technology leader with 30 years of experience driving digital transformation across the life sciences, medical devices, and food manufacturing sectors. Currently an IT Business Relationship Manager in life sciences, he specialises in aligning business needs with technology strategy. Warren previously spent 15 years managing Oracle projects in the medical device industry and five years leading IT for a food manufacturer. Originally a software developer, he blends technical expertise with strategic leadership to solve complex operational challenges.
Overview of the Session:
Oracle Data Liberation: Moving from Manual Extraction to Instant Insight
In many organisations, the gap between raw Oracle data and actionable insight is bridged by manual, time-consuming processes. This session features a collaborative look at how SQL Connect can transform a data culture by moving away from the "mechanics" of data retrieval to focus on strategic analysis. We will discuss the transition from fragmented, slow reporting cycles to a unified, high-performance SQL environment.
The Business Challenge: Businesses can struggle with a complex data landscape where critical information was siloed across multiple environments. Technical teams were overwhelmed by custom report requests, while functional analysts faced significant friction—often waiting hours for data extractions. This bottleneck resulted in "stale-data decision making" and a heavy reliance on manual spreadsheet manipulation to validate transactions and operational details.
Key Lessons & Outcomes: By implementing SQL Connect, the organisation democratised data access and achieved:
🚀 Accelerated Reporting Cycles: Reduced data extraction and report generation time, enabling real-time operational analysis.
✨ Bridged the Technical-Functional Gap: Empowered both SQL experts and functional users to collaborate within a single, intuitive interface.
🤖 Operational Efficiency: Eliminated manual data gathering "friction," allowing the team to shift their time from data preparation to high-value data exploration and change tracking.
