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Embedding Business Intelligence: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. This…

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Embedding Business Intelligence: Architectural Considerations and Technical Requirements

Embedding Business Intelligence: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. This is partly a consequence of the success of BI and even its role as the front-end. Traditional BI tools and platforms are “sticky” in organizations because they perform very well with traditional relational databases. They have been trusted and even loved by many users for many years. But they aren’t built for modern data platforms and don’t work on modern architectures. Holding onto old BI technology while everything else moves forward is holding back organizations. This Logi Symphony white paper is for organizations that believe data and technology can help drive growth through innovation and discover solutions to intractable problems. It summarizes how Logi Symphony from insightsoftware was built from the ground up to accelerate user insights when working with massive, near real-time, and modern data platforms.