India's Zoho launches new feature to help analyze business data

Zoho has launched Zia Hubs, a new feature in its Zoho WorkDrive platform that helps organizations analyze unstructured business data.

This tool is intended to create centralized spaces for project-specific and task-specific content.

Zia Hubs offers features such as unified search and detailed analysis of various types of unstructured data, including emails, documents, and transcripts.

Currently, Zia Hubs is available for early access to Zoho WorkDrive users.

A wider release is anticipated in the third quarter of fiscal year 2025.

🔗 Source: The Economic Times

🧠 Food for thought

1️⃣ The massive unstructured data opportunity driving software innovation

Zoho’s launch of Zia Hubs addresses a critical business challenge: most organizational data remains untapped because it exists in unstructured formats like documents, emails, and media files.

According to IDC (cited in the news article), 80% of business data is unstructured, representing a significant blind spot for companies trying to leverage their information assets for competitive advantage.

This move aligns with broader industry projections that show the unstructured data management market growing substantially, expected to reach $52.15 billion by 2030 1.

The timing is strategic as organizations increasingly prioritize tools that can automatically ingest, classify, and derive insights from unstructured data to feed AI applications and decision-making processes 2.

By integrating Zia Hubs directly into WorkDrive, Zoho is addressing the challenge of making unstructured data more accessible for business intelligence without requiring specialized data science expertise.

2️⃣ AI’s evolution from assistive to agentic represents next frontier

Zoho’s description of Zia Hubs as laying “groundwork for a future where intelligent agents can act contextually” signals their alignment with a major shift in enterprise AI development.

This approach matches industry expert predictions about the rise of “agentic agents” in data workflows that can autonomously complete complex tasks rather than just responding to queries 3.