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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Optimize data flows for agility.

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Is your EA just IT? Unlocking the value of enterprise architecture

CIO Business Intelligence

Enterprise architecture (EA) has evolved beyond governance and documentation. A centralized EA repository enables enterprise-wide visibility into systems, dependencies, and risks. At this stage, EA plays a key role in digital transformation initiatives, enabling business agility, cost optimization and faster time-to-market.

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Rethinking enterprise architects’ roles for agile transformation

CIO Business Intelligence

CIOs often have a love-hate relationship with enterprise architecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards. The sponsor’s primary responsibility is to secure funding and justify the business value of the investment.

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Building a better future: The enterprise architect’s role in leading organizational transformation

CIO Business Intelligence

Decisions made in isolation lead to inefficiencies, slower responses to market changes, and a lack of agility that stifles innovation. Architects help organizations remain agile, innovative, and aligned by bridging gaps between strategy and technology. The future of leadership is agile, adaptable and architecturally driven.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. How Agile Lab and Enel Group used Dremio to connect their disparate organizations across geographies and business units.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics.

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IBM: 78% of mainframe shops are piloting, operating AI apps

Network World

AI is reinvigorating the mainframe and causing enterprises to rethink their plans for mainframe modernization. Hybrid by design The mainframe’s ability to be integrated with and modernized by cloud computing architectures is an integral part of its future role.

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