Established a strategic roadmap for enterprise analytics modernization by defining a future-state data warehouse architecture, standardizing reporting, and enabling scalable, data-driven decision-making across global business functions.
Weeks to assess the global analytics landscape and define strategy
Business Functions assessed across Sales, Marketing, Finance, Supply Chain and IT
Phase roadmap defined for enterprise analytics and data warehouse modernization
The client, a global medical device manufacturer, faced challenges arising from fragmented data sources, inconsistent reporting processes, manual spreadsheet-based analytics, and limited visibility across sales, marketing, finance, and supply chain functions. These issues hindered reporting efficiency, data consistency, and enterprise-wide decision-making.
DiLytics conducted a comprehensive Analytics Strategy and Roadmap engagement covering seven business functions and IT. The team assessed the current-state analytics landscape, captured future-state requirements, designed a target architecture, defined an enterprise data warehouse model, recommended technologies, and developed a phased implementation roadmap.
The engagement delivered a clear blueprint for analytics modernization, including governance, security, data quality, integration, and reporting recommendations. The client gained a strategic roadmap to establish a scalable enterprise analytics platform, improve reporting consistency, reduce manual effort, and enable data-driven decision-making across the organization.
The client, a global medical device manufacturer, faced challenges arising from fragmented data sources, inconsistent reporting processes, manual spreadsheet-based analytics, and limited visibility across sales, marketing, finance, and supply chain functions. These issues hindered reporting efficiency, data consistency, and enterprise-wide decision-making.
DiLytics conducted a comprehensive Analytics Strategy and Roadmap engagement covering seven business functions and IT. The team assessed the current-state analytics landscape, captured future-state requirements, designed a target architecture, defined an enterprise data warehouse model, recommended technologies, and developed a phased implementation roadmap.
The engagement delivered a clear blueprint for analytics modernization, including governance, security, data quality, integration, and reporting recommendations. The client gained a strategic roadmap to establish a scalable enterprise analytics platform, improve reporting consistency, reduce manual effort, and enable data-driven decision-making across the organization.
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Terumo Neuro is a leading medical device company specializing in minimally invasive neuro endovascular technologies used in the treatment of neurovascular disorders. The company operates globally across North America, Europe, Asia-Pacific, China, and Latin America, with business functions spanning sales, marketing, finance, supply chain, manufacturing, and regulatory operations.
The client’s rapid growth introduced increasing complexity across business functions, systems, and reporting requirements. Data existed across multiple enterprise platforms, making it difficult to establish consistent metrics, governance standards, and reporting practices. To maximize future BI investments and reduce implementation risks, the organization needed a clearly defined analytics strategy and execution roadmap.
DiLytics conducted a comprehensive Analytics Strategy and Roadmap engagement to assess the current analytics landscape, identify business and technical gaps, define the target-state architecture, and establish a phased roadmap for enterprise analytics modernization. The engagement covered stakeholders across sales, marketing, finance, supply chain, operations, and IT functions globally across USA, EMEA and Asia Pacific Regions.
DiLytics successfully completed the assessment and roadmap exercise within 6 weeks.
DiLytics identified and defined enterprise analytics requirements across:
The engagement also established requirements for:
DiLytics designed a future-state analytics architecture comprising:
DiLytics identified and defined enterprise analytics requirements across:
The engagement also established requirements for:
DiLytics designed a future-state analytics architecture comprising:
The strategic roadmap aligned business and technology stakeholders around a unified analytics vision while providing a practical, phased approach to modernizing reporting, governance, and enterprise data capabilities.
Established a common future-state strategy across sales, marketing, finance, supply chain, and IT functions
Delivered a practical implementation plan that reduced uncertainty around future investments and transformation sequencing
Identified opportunities to eliminate spreadsheet-based reporting and streamline enterprise data preparation processes
Defined a roadmap for consistent enterprise reporting and standardized business definitions across functions
Created the strategic foundation for self-service, predictive, and advanced analytics capabilities
Recommended a phased modernization approach that leveraged current Microsoft-based analytics assets while enabling long-term scalability
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