Use Case
Data Strategy
Your data strategy doesn’t need another system. It needs a partner who understands how to align people, processes, and priorities. That partner is Deus Duck.
We’ve lived through the challenges that undermine even the strongest data intentions. Our approach goes beyond tools and technology to create genuine engagement, cross-functional alignment, and clear accountability at every level of the organization.
Our Process
01
Due Diligence
We begin with a thorough assessment of your current state. We conduct gap analyses, aligning data initiatives to business objectives, and mapping the landscape of existing capabilities.
02
Design
From there, we craft a strategic roadmap complete with prioritized use cases, a tailored operating model, a portfolio view of data assets, and a data governance framework designed for your reality.
03
Delivery
We don’t stop at planning. Our team drives DataOps implementation, performs rigorous impact assessments, and manages the portfolio to ensure measurable, sustained value.
Case Study
Unlocking Siloed Research Data
Problem
A pharmaceutical client was generating new data at every stage of the drug research process, but only positive target data was being catalogued.
Negative data, contextual relationships, and the ability to search across experiments were completely absent.
Solution
Deus Duck overcame this by:
Retrieving the overlooked data
Performing deep analysis
Defining a semantic model
Enabling organization-wide search
Scientists could now leverage learnings from every step, not just the successful ones.
Current State Analysis
Actively managing data required a formal data strategy. Our current state analysis revealed a number of critical gaps: data transfers relied on physical media and local storage, analysis required manual copying between systems, there was no systematic process for capturing the interplay of entities, actions, and results, and significant experimental context was being lost. This lead to repeated experiments, data accuracy issues, and valuable knowledge remaining siloed across scientists and departments.
Data Ops
The client operated more than 56 labs generating data, all working toward a single goal:
Bring the best possible molecule to development faster
Our DataOps engagement delivered improved efficiency and predictability of data development, consistently high-quality data products, faster time to value with better ROI, more accurate analytics and reporting, a stronger culture of collaboration and continuous improvement, and an enhanced ability to innovate.
Define Key Data
AI can accelerate drug discovery, but only when it’s fed the right data. Our strategy identified which datasets were critical, how the client was actually using them, which ones required quality measures, and which contained the key data assets for tomorrow’s breakthroughs.
Enable Search
We built capabilities for searching, sharing, and suggesting data connections powered by a knowledge graph for discovery and lineage tracking for traceability.