Strategic Consulting & Advisory
Data Strategy
Get a tailored, long-term data strategy developed by a dedicated team of veteran data experts.
20+ years of experiencePartnerships with world-leading technology providersCross-industry expertiseActionable data strategy from day one
There’s a lot of talk about being “data-driven.” But what does that actually mean? It’s the totality of the ways in which an organization collects, processes, cleans, stores, analyzes, and utilizes data for maximum impact.
In order for decision makers to make “data-driven decisions”, the conditions need to be set at every level of the organization, encompassing its people, processes, and technology.
Where does Solvership Data Strategy Consulting come in?
- Establishing systems that ensure decisions are made based on accurate, timely, and comprehensive data, closely aligned with business goals.
- Implementing user-friendly technology that encourages high adoption rates and maximizes utility across the organization.
- Designing a flexible, vendor-neutral data architecture that allows freedom to choose the best solutions without compromising functionality.
- Developing clear, documented, and consistently applied definitions for metrics and KPIs — for uniform performance measurement and reporting.
- Creating a cohesive data environment where all departments access and act on a unified set of truths, eliminating data silos.
- Automating data integration from multiple sources to streamline processes, reduce manual labor, and increase accuracy — to ensure high data quality and ease of access, supporting reliable analytics and compliance.
Our 4-step methodology
Business alignment
The initial stage that harmonizes the strategic goals of the business with data-related activities.
As-is assessment
Evaluation of the current state of the organization's data landscape encompassing three core elements: business requirements, data architecture, and data management practices.
To-be future state
Creation of the future data architecture, organizational structure that supports a data-driven approach, data management and data quality framework.
Implementation roadmap
Building an actionable roadmap with MVPs and a communication plan on the values of the data strategy, and its relevance and value for the business.
