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Oct 4 2024
How to Make Generative AI Work for Natural Language Queries


As businesses increasingly rely on data-driven decision-making, the volume and complexity of data within enterprises have grown exponentially. However, processing this data and deriving actionable insights remains challenging due to the reliance on human analysts. The explosion in interest surrounding text-to-SQL (T2SQL) solutions and the capabilities of large language models (LLMs) like ChatGPT have presented […]

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Author: David Mariani

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Jun 17 2024
Building a Common Data Language: How a Semantic Layer Drives Collaboration and Trust


The self-service analytics revolution was intended to free business users from IT chains. The idea was to break the IT bottleneck by allowing businesses to create their own data products. After all, businesses understand their respective domains better than anyone in IT could, and decentralizing the work of creating data products should theoretically increase the […]

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Author: David Mariani

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Dec 18 2023
Data Catalog, Semantic Layer, and Data Warehouse: The Three Key Pillars of Enterprise Analytics


Analytics at the core is using data to derive insights for measuring and improving business performance [1]. To enable effective management, governance, and utilization of data and analytics, an increasing number of enterprises today are looking at deploying the data catalog, semantic layer, and data warehouse. But what exactly are these data and analytics tools […]

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Author: Prashanth Southekal and Inna Tokarev Sela

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Sep 25 2023
Empowering Power BI with the Semantic Layer


Today’s organizations widely acknowledge the significance of leveraging data and analytics. Virtually every executive envisions establishing a data-driven organization. However, a survey conducted by New Vantage Partners reveals that only a mere 26.5% of companies have effectively achieved this transformative goal. Part of the problem lies in the ineffective collaboration between business and technology teams.  In the […]

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Author: David Mariani

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