Zoho Corporation launched a new version of Zoho Analytics—Zoho's self-service BI and analytics platform. In this update, Zoho Analytics has developed powerful new AI and ML capabilities, enabling diagnostic insights, predictive analysis, and automated report and dashboard generation.
Additional advancements to Zoho Analytics include a custom ML model-building studio, seamless integration with Open AI, and third-party BI platform extensions, among more than 100 other new enhancements. The latest version of Zoho Analytics has added power, intelligence, and flexibility to serve a broader range of businesses and users than competitors in the market.
The adoption of data analytics and business intelligence in Southeast Asia is projected to grow at a CAGR of around 7.25% from 2023 to 2028, driven by increasing data volume, adoption of advanced technologies, and government-led digitalization initiatives. To drive faster adoption, a solution like Zoho Analytics, which efficiently empowers business users, delivers significant value for companies.
"Zoho Analytics launched in 2009 as Zoho Reports, long before technology had caught up to Zoho's vision for business intelligence," said Gibu Mathew, VP Product and GM of Zoho APAC. "Since then, Zoho has made considerable investments around automation, no-code/low-code development, third-party integration, machine learning, and Zia, Zoho's in-house AI engine. The latest version of Zoho Analytics is one of the first solutions from the company to take advantage of all of these decades-long investments. The result is a democratized platform that is powerful, intelligent, modern, and simple to use."
The latest version of Zoho Analytics has advanced in four key areas: Data Management, AI, Data Science and machine Learning, and Extensibility. Below are notable highlights of the platform in these four categories.
**Data Management Hub**
Zoho Analytics has expanded its data management capabilities, adding Stream Analytics, ETL data pipelines, and metrics-layer enhancements to ensure broader access to more accurate data for businesses. Critical data management additions to Zoho Analytics are as follows:
Zoho Analytics has added Stream Analytics and 25 new data connectors to its expansive 500+ connector portfolio. Now, businesses may access a central repository of data pulled from a broad host of databases for more precise and efficient analysis, unlocking more insights.
Within Zoho Analytics, users can now create and manage complex ETL data pipelines, ensuring data is properly extracted, transformed, and deposited by taking the following actions:
- Create end-to-end data pipelines using Zoho Analytics' visual builder
- Build Custom Transforms and ML models using the platform's Python Code Studio
- Transform data using natural language with Ask Zia, Zoho's AI copilot
- Access an automatic versioning system and a new Sandbox environment
- Orchestrate data pipelines using Zoho Flow
Zoho Analytics' new unified Metrics Layer enables users to define, standardize, monitor, access control, and catalog all business metrics in a single pane. The platform also extends to serve in a Headless BI mode, allowing data apps to consume the same metrics in real-time for consistent and dependable insights.
**BI Infused with Generative AI**
Zoho Analytics has introduced Generative AI capabilities across the BI platform to accelerate the adoption of insights for a broad spectrum of user personas. The following AI-powered enhancements deliver more efficient, contextual, accessible, and intelligent insights and actions to the platform:
- **Diagnostic Analysis**: Zoho's AI-powered, automated insights engine, Zia Insights, now provides diagnostic analytics contextually, bringing decision intelligence into the platform.
- **Auto Analysis**: Zoho Analytics has added Auto Analysis, enabling AI-powered automated metrics, reports, and dashboard generation.
- **Seamless Open AI Integration**: Enabled by Retrieval-Augmented Generation (RAG), Zoho Analytics' integration with Open AI drives more relevant and accurate query responses. Using Open AI APIs with Bring Your Own Key (BYOK), users can more easily find public datasets and create formulas and SQL queries.
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