Data Management Strategy & Governance Roadmap
Manufacturing Sector
Building a Three-Year Data Strategy Aligned with Digital Transformation and Innovation
Assessed 10 Focus Areas Across 25+ Dimensions
Developed 3-Year Data Strategy & Roadmap
Foundation for Center of Excellence in Analytics
Introduction
As part of the strategic evolution from DataSphere to Simov Labs, this case illustrates a comprehensive data management assessment and strategic roadmap that empowered a leading manufacturing company to align data governance with rapid digital transformation and business innovation goals.
Business Challenge
One of the largest manufacturing companies in the country faced challenges due to rapid adoption of new technologies and cloud services without a cohesive data strategy. This created misalignment in data management and governance. There was a need for a structured roadmap to guide efforts across technologies and departments, ensuring alignment with commercial vision and innovation objectives. Additionally, change management and interdepartmental collaboration required optimization to foster a true data-driven culture and effective teamwork among specialized areas.
Implemented Solution
- 1Conducted an exhaustive assessment using a data management framework, evaluating 10 focus areas across more than 25 key dimensions to quantify and qualify the current state of data management and governance.
- 2Developed a comprehensive three-year data strategy with a clear plan of activities, objectives, and alignment to the company's commercial vision.
- 3Provided guidelines to strengthen collaboration with innovation departments, ensuring data initiatives supported broader digital transformation goals.
- 4Recommended a flexible, scalable data architecture integrating existing and new technologies while adhering to industry standards.
- 5Created a detailed roadmap for establishing a Center of Excellence in Analytics, including stages for skill development (technical and soft), technology implementation, and adoption of agile practices in analytics projects.
Obtained Results
Delivered a clear roadmap to senior technology and analytics leadership, including defined activities, budgets, and specific projects—facilitating better decision-making and resource allocation.
Boosted morale and confidence within the analytics team, enabling them to see tangible impact on the business.
Improved vendor negotiations through a structured strategy, leading to more aligned and beneficial investments.
Identified critical training needs and proposed change management strategies to drive adoption at all organizational levels.
Promoted agile practices in analytics projects, increasing efficiency, responsiveness, and ability to deliver immediate business value.
Evolution in Simov Labs
This foundational data strategy project is now fully integrated into our portfolio at Simov Labs. We evolve these assessments and roadmaps into modern, cloud-native implementations (Snowflake, Databricks, BigQuery) with production-ready AI/ML integration, advanced governance (DAMA/TDWI-aligned), automated maturity tracking, and explicit ROI measurement.
Our current approach remains business-first, with radical honesty in assessing fit and opportunities, and a focus on long-term partnership—ensuring data management strategies deliver sustainable governance, cultural transformation, and competitive advantage. No promises. Just results.
Ready to build a robust data strategy and governance framework that powers your digital transformation?
Book a free 30-minute consultation. We'll discuss your data governance goals and where a structured strategy can deliver the most impact.