Many organizations are investing heavily in Artificial Intelligence (AI) to improve operational efficiency and accelerate decision-making. However, the biggest challenge often lies not in the AI technology itself, but in the data behind it. Data that is scattered across multiple systems, inconsistent, and difficult to manage can significantly hinder AI success.
To address this challenge, organizations need a more structured and trusted data foundation. With Quest Trusted Data Management Platform, businesses can manage the entire data lifecycle through a unified platform, ensuring that data used for analytics and AI remains high quality, governed, and enterprise-ready.
Why Do So Many Enterprise AI Projects Fail?
Many companies invest heavily in AI technologies to improve efficiency and accelerate business decisions. However, AI success depends not only on advanced algorithms but also on the quality of the underlying data. When data is inaccurate, inconsistent, or difficult to access, AI outcomes become less reliable and less valuable.
This challenge often arises because data is distributed across multiple systems and managed through disconnected tools. As a result, organizations struggle to obtain trusted, business-ready data that can effectively support analytics and AI initiatives.
That is why enterprises need a solution that unifies data management within a single platform. Through a SaaS-native data management approach, Quest Trusted Data Management Platform helps organizations build a more structured, trusted, and AI-ready data foundation.
How Does Quest Accelerate the Delivery of AI-Ready Data?
Quest Trusted Data Management Platform is a unified data management platform designed to help organizations create trusted, governed, and AI-ready data. It connects the entire data lifecycle, from data modeling and governance to quality management and data product delivery, within a single integrated ecosystem.
One of its key innovations is the Automated Data Product Factory. This capability helps organizations accelerate data product creation, a process that traditionally requires extensive coordination between business teams, data engineers, and data stewards.
Through a Natural Language Interface, users simply describe business requirements using everyday language. The platform then analyzes those requirements and automatically checks existing data assets through the Confidence-Driven Reuse Engine to prevent duplication and maximize data reuse. As a result, processes that once took months can be completed in days, enabling organizations to deliver AI-ready data faster and more efficiently.
From Data Design to AI-Ready Insights in a Single Platform
AI success depends not only on data availability but also on how data is designed, managed, and delivered to those who need it.
To support this process, Quest Trusted Data Management Platform integrates erwin Data Modeler, Quest Data Modeler, and erwin Data Intelligence into a connected workflow. Organizations can design data models, document business rules, manage metadata, and track data lineage through a single platform.
Once completed, data becomes available through the One-Click Self-Service Data Marketplace. Users can easily discover and consume approved data products without starting the request process from scratch. This approach ensures that teams across the organization work with consistent and trusted data.
How Does Quest Ensure Data Remains Trusted and Secure?
As organizations increase their use of AI, ensuring that data is accurate, trusted, and compliant becomes increasingly important. This is especially critical in highly regulated industries such as banking, financial services, telecommunications, and healthcare.
To address these requirements, Quest provides a 9-Component Trust Score Framework that automatically evaluates data trustworthiness based on factors such as data quality, governance completeness, lineage, usage patterns, and data freshness.
In addition to delivering real-time trust scores, the platform can automatically detect data drift, helping organizations identify changes in data quality before they negatively impact analytics or AI outcomes. This enables more transparent, reliable, and confident decision-making.
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The Business Impact of a Unified Data Management Strategy
Through its SaaS-native data management approach, organizations can reduce the complexity of managing data because all critical capabilities are available within a single platform.
Quest Trusted Data Management Platform helps organizations deliver data up to 54 percent faster, reduce Total Cost of Ownership (TCO) by up to 40 percent, and increase data asset reusability by up to 50 percent.
When data can be reused across multiple teams and business functions, organizations no longer need to build data products from scratch every time a new initiative begins. The result is greater operational efficiency, faster innovation, and a higher likelihood of AI success.
Build a Stronger AI Foundation with Virtus Technology Indonesia
The success of AI depends not only on sophisticated algorithms but also on the quality of the data foundation supporting them. Without proper governance, visibility, and integrated data management processes, AI initiatives risk delivering far less value than expected.
With Quest Trusted Data Management Platform, organizations can build a stronger data foundation by connecting data modeling, data intelligence, governance, and data automation within a single unified platform.
As an official Quest partner in Indonesia, Virtus Technology Indonesia (part of CTI Group) helps organizations develop modern data strategies that support AI, analytics, and long-term digital transformation initiatives.
Consult with Virtus Technology Indonesia today and discover how Quest Trusted Data Management Platform can accelerate your organization’s AI journey.
Author: Ary Adianto
Content Writer, CTI Group