As organizations grow, systems and data often grow with them — but not always intentionally. Over time, tools proliferate, data becomes fragmented, and leaders struggle to answer basic questions with confidence. At the same time, many organizations aspire to become more data-driven but don’t have the foundational structures required to support analytics or AI.
SVA’s Systems and Data Strategy offering helps to intentionally define the systems and data capabilities needed to operate effectively today and evolve for the future. We take a business-first approach, ensuring technology decisions support how work gets done while establishing a data-first mindset that enables insight, scalability, and intelligent decision-making.
This approach lays the groundwork for analytics, automation, and AI, ensuring growth is supported by trusted systems, reliable data, and clear governance.
Here’s how you’ll benefit from our approach
Clarify the systems your business truly needs
Adopt a data-first approach to growth
Improve data quality, accessibility, and trust
Prepare for analytics and AI enablement
Align technology investments to business priorities
OUR APPROACH
Design systems and data for today and tomorrow
We assess your current systems landscape, data sources, integrations, and usage patterns to understand how technology supports (or hinders) operations today. This includes evaluating data quality, accessibility, governance, and readiness for analytics.
We define a future-state systems and data strategy aligned to business goals. This includes clarifying system roles, integration principles, data ownership, governance models, and the capabilities needed to support reporting, analytics, and AI.
We translate strategy into a practical roadmap to prioritize initiatives, sequence investments, and integrate change management so your systems and data evolve in lockstep with your business.
Frequently asked questions
System selection focuses on choosing tools. Systems and Data Strategy defines the overall ecosystem — how systems work together and how data flows, is governed, and used.
No. This work often precedes analytics and AI, ensuring foundational readiness before advanced capabilities are introduced.
Yes. A core outcome is improved data clarity, consistency, and trust across the organization.
Processes, systems, and data are tightly linked. This offering often integrates with Business Process Optimization & Maximization to ensure systems support optimized workflows.
No. Organizations of all sizes benefit from intentional systems and data strategies — especially those scaling or modernizing.
