- Consulting services
Modern Data Platform and Analytics Accelerator
Execution-focused data and analytics blueprint that provides the people, process, and technology definition and roadmap required to build and sustain modern data foundations.
Through a tightly scoped fixed-cost 5-week engagement, Productive Edge works with your team through a series of short workshops to understand future ambitions, assess current technology, and define desired maturity across people, processes, and technology, including the use of Microsoft Azure. Facing the challenge of transitioning to a modern data environment, clients struggle to define a comprehensive execution-ready architecture and roadmap. The workshops’ focus will be to help you define your digital ambitions and desired outcomes through: understanding and documenting key analytics and AI use cases; discussing internal data source integration, access, and systems; identifying master data needs and target maturity; defining physical data lake components to be used, system and versioning considerations, design and architecture to support the overall approach; assessing users, user access needs, roles, and entitlements; and pinpointing target DataOps process, roles, and responsibilities. The results of this engagement include an execution-focused data and analytics blueprint that provides the people, process, and technology definition and roadmap required to build and sustain the modern data foundations that will power your digital strategy on Microsoft Azure. We will also leave you with a key findings document through the workshops and deliver the following recommendations and artifacts: business goals and representative use cases; a data analytics strategy for key data sources aligned with priority along with example data pipelines on Azure; a master data scope definition; a target modern data analytics architecture for ingesting raw data, rules around data cleansing, data curation, managing gold data, and querying through data virtualization and other querying methods on Azure; an iterative data governance scope and roadmap; a physical data lake design and architecture to adopt modern data architecture principles on Azure; user access, user access needs, roles, and entitlements; DataOps process, roles, and responsibilities; an overall roadmap and suggested timeline; and recommendations and an architecture blueprint for Microsoft Azure.