Oracle NetSuite has unveiled significant updates to the NetSuite Analytics Warehouse, the first AI-enabled, prebuilt 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 Goldberg, founder and EVP of Oracle NetSuite, emphasised the challenges many growing businesses face in data interpretation, often hampered by limited resources and the need for advanced data skills. The new features of the Analytics Warehouse aim to automate data analysis and leverage AI to deliver quick, actionable insights.
Key updates include:
- Auto-Insights:Â Accelerates reporting by generating visualizations and natural language insights based on dataset attributes.
- Explain:Â Utilizes AI to reveal meaningful business drivers and contextual insights, helping users understand data anomalies.
- Oracle Analytics AI Assistant:Â Enables users to explore data patterns through conversational queries, producing relevant visualizations using Generative AI.
- Out-of-the-box AI Models:Â Allows for automated analysis tailored to specific use cases, such as predicting customer churn and inventory shortages without coding.
- AutoML:Â Automates algorithm selection and customizes modelling workflows, enhancing insights without requiring technical expertise.
- Oracle Machine Learning:Â Offers a collaborative interface for exploring data and tailoring machine learning models to meet unique business needs.
BirdRock Home, a manufacturer of home goods, is already leveraging these predictive tools to refine its product strategy and enhance customer engagement. The company uses the predictive model for customer churn to optimize its offerings in competitive e-commerce marketplaces, highlighting how NetSuite’s AI capabilities are driving real business outcomes.
