BI Cloud Migration Strategy & Roadmap

Overview

Rockhop’s Power BI Cloud Migration Accelerator streamlines your journey from siloed, legacy data systems to a modern, scalable Power BI environment. This comprehensive offering includes strategic assessments, architecture design, and the setup of a future-ready data foundation.

Challenges

Data Silos and Redundancy: Disconnected systems lead to data duplication, inconsistent business logic, and time-intensive reconciliation processes.
Manual and Redundant Processes: Heavy reliance on Excel for analysis with limited automation options, hindering data accuracy and timeliness.

Aging Data Warehouses: Outdated infrastructure limits scalability, performance, and adds costly maintenance.

BI/DW Reference Architecture

What's Inside

Assessment

Current State Assessment: Evaluating existing data infrastructure and identifying gaps.

Future State Vision & Alignment: Defining the ideal Power BI cloud setup tailored to your needs.

Migration Planning

Cloud Modern Data Architecture: Establishing a scalable data architecture using modern, serverless technologies.

Strategic Cloud Migration Roadmap: A detailed plan to guide your migration journey.

Proof-of-Concept Migration

Power BI Service Setup: Establishing Power BI services for organization-wide data access.

5 Proof-of-Concept Dashboards: Initial Power BI dashboards and reports to demonstrate immediate value.

Conclusion

With deep expertise in Microsoft’s data and analytics solutions, Rockhop helps organizations unlock new insights and drive measurable outcomes. Our Power BI Cloud Migration Accelerator aligns your data strategy with your business goals, paving the way for scalable, efficient, and transformative data operations. The primary benefits of a well-designed data architecture and Power BI visualization foundation include:

Accessibility: Ensures data is available when and where users need it.
Scalability: Flexible infrastructure supporting evolving business needs.
Quality: Consistent data integration for high-quality, error-free reporting.
Agility: Reduced data management efforts through automation and tool modernization.