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.
Organizations need a modern data strategy to in AWS language “think big, start small, and scale fast. To be successful requires shifting mindset, organizing people and process to innovate at scale, and deploying technology that accelerates value in direct support of strategic business objectives”.
We help organizations implement these goals in three stages: stage 1 - defining data domains and business opportunities; standing up our pipeline of AWS services; building meaningful showcases; stage 2 – industrializing planning and DevOps delivery and continuous MVP delivery of “lighthouse” data products that impact the business; and stage 3 – scaling delivery to wider parts of the organization and more data products and measuring the value impact.
Our data pipeline approach relentlessly focuses on opportunity-driven priorities and value expectations. Leaders have a familiar methodology to determine value and priorities within and across data domains that mirror how the business operates. Both strategic planning and delivery is enabled by a product life cycle process that includes Product Concept, Business Plan, DevOps Enabled Development, and Market Launch for both internal and external products.
Highlights
- • Plan big, showcase, industrialize delivery, create lighthouse data products, scale, and show value. • Define data product roadmaps based on options value analysis. • Continuously evolve, measure adoption and value achievement.
- • 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.
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For additional support please contact AWS@apiphani.io