The gap between AI ambition and AI reality is as wide as it has ever been.
Organizations are pouring millions into AI initiatives and leadership teams are setting aggressive timelines. Data teams are caught in the middle, fielding demands for trusted, AI-ready data products while still stitching together fragmented toolchains and manual processes that were never designed to be able to handle this pace.
The challenges that organizations are facing are not because the AI models are bad, but because the data feeding them isn’t trusted, isn’t governed, and takes too long to deliver.
Today, Quest Software is changing that.
What Quest is launching
The Quest Trusted Data Management Platform is now available. It is the industry’s only unified, SaaS-native platform solution that is purpose-built for delivering trusted, AI-ready data into every environment. It brings together the tasks required to deliver every step of the data journey from model to marketplace, building a data foundation based on trust, speed, and scale. Beyond all of that, it also boasts the powerful Automated Data Product Factory that can deliver data products up to 54% faster than traditional disparate and manual processes can deliver.
There is no integration required. No bolting together of point solutions from different vendors. It is one platform, from data model to AI-ready data products, eliminating the increased risk and inefficiency that comes with the cobbled together solutions of old.
Why this matters now
Every enterprise today is facing the same version of the same three problems.
- The first is the trust gap. When a data consumer finds the data they are looking for, they should never have to wonder whether or not they can rely on it. But in most organizations, that’s exactly what happens. There is no quantifiable, explainable way to measure whether data is trustworthy, so people either take the risk or go build their own version. Neither outcome is acceptable.
- The second is a speed and scale issue. Building a single production-ready data product today can take teams of 5-50 people up to six months or more. That timeline simply doesn’t match the pace at which AI initiatives need to move to provide the return that boards are looking for. Every week spent waiting for trusted data is a week that your competitors are pulling ahead.
- The third is tool sprawl. Organizations are managing multiple tools across data modeling, cataloging, governance, quality, and automation, spending what could amount to up to $100K just on integration, all before a single data product gets delivered. It’s expensive, fragile, and unsustainable.
What makes this different?
We didn’t build this platform just to catalog what already exists. We built it to architect what you need for taking the next step in your data maturity journey: reusable data products that are embedded with governance and trust from inception.
That distinction matters. Most tools in this space focus on organizing or governing data products that already exist, often by bringing together other tools and manual processes. The Quest platform designs, governs, and delivers data products in a single workflow with its Automated Data Product Factory.
The Automated Data Product Factory enables anyone—from technical users to business consumers—to describe what they need in natural language prompts, and the platform generates a production-ready, governed data product. No SQL. No technical specifications. Business users define their needs, and data teams validate and deploy. It’s as simple as that.
To address the trust gap, our nine-component trust scoring framework gives every data product an explainable, quantifiable trust score across customizable dimensions like data quality, governance completeness, timeliness, lifecycle, popularity, and user ratings. It is not a black box. Stakeholders, regulators, and AI consumers can see exactly why data is or isn’t trusted at-a-glance, and organizations can customize the weights across each metric based on their own risk tolerances.
How the Automated Data Product Factory works
The Automated Data Product Factory transforms what traditionally is a complicated, manual, and time-consuming process into a streamlined, AI-assisted workflow:
- Gather requirements – You describe the data you need using natural language. AI interprets your intent and context.
- Check for existing data products – The Automated Data Product Factory searches for existing data products that meet your need before creating new ones.
- Build a logical model – A logical specification is created using semantic understanding while keeping it business-focused.
- Validate instantly – An interactive diagram is produced so you can visualize and validate the logical data product.
- Confirm with synthetic data – Synthetic data previews are generated intelligently from metadata, allowing you to validate the specification that meets your needs.
- Build the new data product – The production-ready data products are created with embedded governance and trust scoring.
- Push to marketplace – The validated data products are published to your internal data marketplace for immediate discoverability by your enterprise data consumers.
- Self-serve access – Your data consumers find trusted datasets in the data marketplace without waiting on IT.
- Reuse when applicable – Published data products become discoverable assets for future projects, eliminating redundancy and maximizing ROI.
The result
Everything we have talked about isn’t just aspirational. It’s what we expect our customers to experience:
- 54% faster data product delivery compared to traditional approaches
- 70% faster data modeling cycles, reducing month-long processes to a week and a half
- 30% – 40% reduction in total cost of ownership vs. assembled alternatives
- 3-5x return on investment
These numbers* reflect what happens when you stop trying to duct tape separate tools together and start working from a single, unified foundation built on 30+ years of data management leadership and experience.
Go deeper
Quest has built a full set of resources to help you understand what the platform delivers and how it can fit into your organization, meeting you wherever you are on your data journey:
- See the big picture: Download our infographic on the three enterprise data challenges blocking AI success and how Quest’s platform solves them.
- Explore the platform: Visit the Quest Trusted Data Management Platform product page at Quest.com for a closer look at how a converged platform can better meet your data management needs and drive your AI initiatives.
- Watch the Automated Data Product Factory in action: Check out our interactive demo and see more information about the ADPF for a closer look at the AI-powered capability that is redefining how data products are being built.
- Get the details: Download the Quest TDMP datasheet for a concise summary of capabilities, differentiators and the business outcomes that you can come to expect and share with your organization.
- Hear from the experts: Save your spot now by registering for our upcoming webinar, Introducing the Quest Trusted Data Management Platform: Delivering Trusted, AI-Ready Data at the Speed Your Business Demands, featuring Stewart Bond, lead analyst from IDC, John Spehar, data strategist from First Energy, and Quest’s own technical experts Susan Laine and Ryan Crochet. You’ll get candid perspectives on where the market is headed and why this matters now.
- Heard enough and ready to talk? Request a demo or connect with our team to see how the Quest Trusted Data Management Platform can accelerate your path to trusted, AI-ready data.
The organizations that win with AI won’t be the ones with the biggest models or the most compute. They will be the ones with the most trusted data, delivered at the speed the business requires. That’s what the Quest Trusted Data Management Platform was built to deliver.
Welcome to a new standard for trust and AI-readiness.
