Oracle NetSuite unveiled major updates to the NetSuite Analytics Warehousethe first pre-built, AI-powered cloud data warehouse for its platform. These enhancements are designed to streamline data analysis and provide businesses with the contextual insights needed for informed decision-making and accelerated growth.
Evan GoldbergFounder and Executive Vice President of Oracle NetSuite, highlighted the challenges many growing businesses face in interpreting data, often hampered by limited resources and the need for advanced data skills. The new Analytics Warehouse capabilities aim to automate data analysis and leverage AI to deliver fast, actionable insights.
Major updates include:
- Auto-Insights: Accelerates reporting by generating natural language visualizations and insights based on attributes in the dataset.
- Explain: Uses AI to reveal meaningful business drivers and contextual insights, helping users understand data anomalies.
- Oracle Analytics AI Assistant: Allows users to explore data patterns through conversational queries, producing insightful visualizations using generative AI.
- Ready-to-use AI models: Enables automated analysis tailored to specific use cases, such as predicting customer churn and inventory shortages without coding.
- AutoML: Automates algorithm selection and customizes modeling workflows, improving insights without requiring technical expertise.
- Oracle Machine Learning: Provides a collaborative interface to explore data and customize machine learning models to meet unique business needs.
BirdRock Homea home goods manufacturer, is already leveraging these predictive tools to refine its product strategy and improve customer engagement. The company is using the predictive customer churn model to optimize its offerings in competitive e-commerce markets, highlighting how NetSuite’s AI capabilities are driving real business results.
