The Gist Data Industrialization. Modernizing the data stack involves "industrializing data," creating a modular and agile organization that makes data a strategic asset accessible to all who need it, eliminating data silos and proprietary management systems. Data-driven transformation. A modern data stack is foundational for attaining business outcomes from digital transformation and AI, enabling a business to be data-driven, gain insights faster and unlock the value of digital assets to enable innovation. Silos and spaghetti. The biggest challenge for legacy organizations is silos and spaghetti, with the solution being data mesh to resolve data mess, overcome tech debt and data silos, and create a data culture that guides the data stack you build. There are numerous reasons why organizations pursue a "modern data stack." Some aim to move away from a "silos and spaghetti architecture" described in "Future Ready," while others aim to establish an AI factory and its supporting data marketplace, as described by Marco Iansiti and Karim Lakhani. CMOs are interested in creating omnichannel engagement with customers for their desired products and services. Data practitioners and CIOs are left to ponder the implications in Andreessen Horowitz’s 2020 analysis of modern data infrastructures and what the impact will […]
K&X Design and Investment Technology, LLC
Invest The Invisible Impact
K&X Design and Investment Technology, LLC
Invest The Invisible Impact
