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Digital transformation’s fundamental change management mistake

CIO Business Intelligence

Underpinning these initiatives is a slew of technology capabilities and strategies aimed at accelerating delivery cycles, such as establishing product management disciplines, building cloud architectures, developing devops capabilities, and fostering agile cultures.

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Rethinking enterprise architects’ roles for agile transformation

CIO Business Intelligence

In the State of Enterprise Architecture 2023 , only 26% of respondents fully agreed that their enterprise architecture practice delivered strategic benefits, including improved agility, innovation opportunities, improved customer experiences, and faster time to market.

Agile 363
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4 steps to connect change management and DevOps

CIO Business Intelligence

DevOps delivers speed and agility to the development process. The challenge some companies face, however, is the change management of the structured approach for handling alterations within a development cycle. Change management brings consistency to DevOps. But it’s not easy.

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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

To do so, CIOs must continuously improve their product management, program management, and delivery capabilities to wow customers and deliver competitive advantages, all while steering clear of surefire DX mistakes such as prioritizing too many initiatives and underinvesting in developing digital trailblazers.

Agile 338
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Mastering technology modernization: 6 steps for building your road map

CIO Business Intelligence

For example, my change management motto is, “Humans prefer the familiar to the comfortable and the comfortable to the better.” At a time when technology innovation cycles are getting shorter, we will struggle to keep pace if we have to navigate around legacy systems that act as barriers to speed and agility. Which are obsolete?

Agile 277
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7 types of tech debt that could cripple your business

CIO Business Intelligence

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. For this reason, organizations with significant data debt may find pursuing many gen AI opportunities more challenging and risky.

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Massive modernization: Tips for overhauling IT at scale

CIO Business Intelligence

We knew we needed to modernize our legacy systems to support the agility, scalability, and efficiency needed to stay ahead, Maresca says. Another big challenge was change management , especially considering the scale of the transformation, Maresca says. That was the case for National Life, and it became the first roadblock.

System 321