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Revolutionize Your Data Strategy with Semantic Layers
Dear Data friend,
The world of data is changing. As organizations generate more complex data, traditional methods of answering business-critical questions are falling short. The bottlenecks of SQL expertise, schema complexity, and human error leave businesses struggling to keep up.
But what if your AI could answer your most complex data questions with unprecedented precision—without requiring technical intervention?
In our latest whitepaper, we explore how semantic layers, knowledge graphs, and generative AI are breaking these barriers. By bridging the gap between natural language questions and actionable SQL, these technologies enable:
92.5% accuracy in AI-driven query results, compared to just 20% with traditional methods.
Seamless integration of business logic, KPIs, and database schema for reliable and scalable solutions.
Empowerment of teams across all levels, from technical experts to business strategists.
As a veteran in data strategy, I’ve witnessed firsthand how advancements like semantic layers and generative AI redefine the data landscape. This is not just a tool; it’s a paradigm shift that democratizes data access and elevates decision-making at every level.
This whitepaper offers a comprehensive look at real-world applications, groundbreaking results, and the future of natural language queries (NLQ) powered by AI.
Take the next step in your data journey and be at the forefront of AI innovation.
Best regards,
Yves Mulkers.
Data Strategist & Thought Leader