Oracle NetSuite today announced the availability of NetSuite Analytics Warehouse for organisations in Singapore. With NetSuite Analytics Warehouse, the first and only AI-enabled cloud data warehouse and analytics solution prebuilt for NetSuite, organisations can simplify data management, reduce time spent building reports, and gain insights to drive expansion.

“For many businesses, making sense of data can be a time-consuming, complex process that slows down decision making and makes it difficult to unlock new opportunities,” said Gary Wiessinger, senior vice president of Application Development, Oracle NetSuite. “NetSuite Analytics Warehouse will help our customers in Singapore address these challenges by centralising data, automating analysis, and providing the insights they need to adapt to changing customer needs and stay ahead of the competition.”

Built on Oracle Analytics Cloud and Oracle Autonomous Data Warehouse, NetSuite Analytics Warehouse will enable customers in Singapore to:

• Centralise data: Prebuilt connectors to third-party sources, including Google Analytics, help customers consolidate data, and reduce time-consuming manual data exports and the costs to self-implement each integration point. By combining NetSuite transactional data, historical data, and data from other cloud and on-premises systems, customers can quickly access relevant insights, empowering them to make faster and smarter decisions. 
• Automate analysis: Built-in AI-powered analytical capabilities help customers see patterns and opportunities in complex data relationships, explain key findings with chart narratives, and identify key drivers of revenue growth. With automated analysis of operations and performance, customers can also reduce manual processes and more quickly solve business challenges.
• Expand and leverage insights: A user-friendly interface and collection of role-based dashboards, visualisations, and key metrics help business leaders uncover new business opportunities. With dashboards and visualisations that are personalised for the end-user, customers in every department can access insights and generate reports to gain a deeper understanding of their business and enhance decision making with relevant data. 
• Connect AI-powered insights across multiple businesses: The addition of NetSuite Analytics Warehouse Multi-Instance Connector enables organisations with multiple businesses to expand insights across their entire portfolio. With data from multiple NetSuite instances consolidated in a single NetSuite Analytics Warehouse environment, customers are able to reduce costs, increase the accuracy and speed of insights, and improve decision making.

In addition, AI tools and models help customers in Singapore analyse data more efficiently and gain predictive insights to improve forecasting. AI capabilities embedded in NetSuite Analytics Warehouse include:

• Auto-Insights: Help organisations accelerate reporting and improve decision making by leveraging AI to generate data visualisations and natural language insights based on a dataset’s attributes, measures, and other points of interest.
• Explain: Helps organisations gain a greater understanding of their business by leveraging AI to identify meaningful business drivers, contextual insights, and data anomalies.
• Oracle Analytics AI Assistant: Helps organisations streamline data discovery through conversational interactions. For example, customers can ask questions on data patterns and the AI Assistant will create a response and relevant data visualisations using Generative AI.
• Out-of-the-box AI models: Help organisations improve decision making by enabling them to automate analysis with no-code AI models built for specific use cases that can better predict scenarios, such as customer churn and inventory stockouts.
• AutoML: Helps organisations improve insights and enhance efficiency without requiring technical AI skills by automating algorithm selection and customising modeling workflows.
• Oracle Machine Learning: Helps organisations improve algorithm performance, expand insights, and enhance decision making by providing a collaborative interface to visually explore data and tailor machine learning models to address unique business needs.