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    apiphani: Operating Model and Governance for Delivery and Sustainability

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    Sold by: apiphani 
    Definition of roles, responsibilities, skillsets, processes, and metrics for planning, funding, and execution. There is focus on strategic versus overall governance; aligning, executing and renewing: and resources, capabilities, and capacity required to define and deliver value. Delivery is focused on self-service, device services, and feed to digital apps and all supported by a modern data catalog.
    Listing Thumbnail

    apiphani: Operating Model and Governance for Delivery and Sustainability

     Info
    Sold by: apiphani 

    Overview

    Trusted data pipelines for your data driven enterprise. A modern data platform that serves strategic data products for all your BI, ML, AI, and Digital product requirements utilizing AWS services such as AppFlow, Glue, Athena, Redshift, SageMaker, Bedrock and QuickSight. As well as the operating model to deliver and sustain data driven digital growth.

    Creating an Operating Model, Governance, and new mind set is fundamental to successful delivery and sustained momentum. In AWS language “The modern data community is an organizational and cultural shift from monolithic data organizations to decoupled responsibility. Rather than a single organization (typically IT) being responsible for the ingestion of data, data quality, management of platforms, and the creation of insights, the model pushes responsibility deeper into organizations, thereby increasing autonomy, ownership, and speed. And develop a Mindset that aligns business and tech senior leaders on culture, business priorities and financial drivers for the data strategy.

    Our operating model includes partnering with you to define and assign Domain-Driven Data Ownership – priorities, business cases, investment decisions and distribution of responsibility to people who are closest to the opportunity and data to support continuous change and scalability for self-service, device optimization and app enablement. We organize teams around products and (in our case to start – 1 -pizza team) 4-5 people wearing multiple hats versus 8-10. Data Product Owners are key role both determining what to deliver as well and ensuring it is delivered. We work with you to add your team and our team members to complete delivery including key data consumer, business data analyst and scientist, visual design, data engineer and architect, and Infra and Permissions support. We also help you build a strategy driven versus ‘boiling the ocean’ governance program built on a modern data catalog that reduces risk and helps you scale fast.

    Highlights

    • • Realign shadow data and analytics resources with automated, enterprise self-service. • Create sustaining data and analytics leadership, center of excellence (COE) and governance roles. • Create a data driven culture, success stories, and product flywheel growth.
    • • Dramatically get faster time to value and reduce total cost of ownership when compared to legacy. • Spend 80% of your time developing data insights versus the traditional 80% in data preparation. • Organize and categorize system and department data from silos into value-driven data domains.

    Details

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    For additional support please contact AWS@apiphani.io