Hyper Anna

Hyper Anna

Hyper Anna - Machine Intelligence for Analytics - Home.

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More about Hyper Anna
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Hyper Anna emerged from Sydney, Australia, in 2016, founded by Natalie Nguyen, Sam Zheng, and Kent Tian. Nguyen's journey into data science began with a passion for coding and puzzle-solving in her youth. This led to a career as an analyst where she observed that a significant portion of her work was repetitive, which sparked the idea for an AI-driven solution. The company was established to address the market need for accessible data science, aiming to empower business users without a technical background to derive insights from their data.

The firm developed an AI-powered data analytics platform that functioned as a virtual data scientist, allowing users to ask questions in plain English via text, email, or a web interface and receive answers in the form of charts and insights in seconds. This natural language processing capability was designed to understand user intent, providing contextually relevant analysis that surpassed simple data retrieval. The business model focused on a subscription-based service, making advanced data analytics more affordable and scalable compared to hiring in-house data scientists. The platform catered to corporate clients and small businesses, with early customers including major financial institutions like Westpac and IAG.

A significant milestone in the company's trajectory was its acquisition by Alteryx, an American analytics automation company, in October 2021. Following the acquisition, Hyper Anna was rebranded as Alteryx Auto Insights. The integration aimed to combine Hyper Anna's AI-driven automated insights and data storytelling with Alteryx's end-to-end analytics automation platform. Now part of the Alteryx ecosystem, the cloud-native solution automatically surfaces patterns and trends, performs root cause analysis, and generates reports and presentations, reducing the reliance on data experts for routine analysis. The technology is designed to highlight outliers and anomalies that might be missed in traditional BI dashboards, allowing users to focus on critical business issues. Keywords: Alteryx Auto Insights, data analytics, business intelligence, artificial intelligence, machine learning, natural language generation, data storytelling, automated insights, root cause analysis, data discovery, cloud analytics, SaaS, Natalie Nguyen, Sam Zheng, Kent Tian, data democratization, analytics automation, augmented intelligence, predictive insights, data visualization

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