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Software project management challenges — and how to handle them

CIO Business Intelligence

The need for efficient software development has taken on greater importance as enterprises introduce more and more digital services and add automation capabilities to enhance business processes. Managing software projects might not be at the top of CIOs’ priority lists , but it is something that IT leaders will have to master.

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Project management: Tips, tools, best practices

CIO Business Intelligence

What is project management? Project management is a business discipline that involves applying specific processes, knowledge, skills, techniques, and tools to successfully deliver outcomes that meet project goals. Project management steps Project management is broken down into five phases or life cycle.

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What is a project manager? The lead role for project success

CIO Business Intelligence

What is a project manager? Project managers play the lead role in planning, executing, monitoring, controlling, and closing out projects. They are accountable for the entire project scope , the project team and resources, the project budget, and the success or failure of the project.

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Data science and project management methodologies: What you need to know

Dataconomy

One of the most significant challenges present in project management is the variety of ways that a project can be managed and handled. When contemporary businesses are increasingly driven by data, project managers must understand how the intersection between team members, data, and strategies can come together.

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5 Risk Mitigation Strategies for Agile Teams

Social, Agile and Transformation

I find that agile teams, because they are agile, may leave behind fundamental-to-IT risk mitigation strategies that can make sprints, releases, and application development more reliable and robust. Risk mitigation should be a basic tenet of agile mindsets and culture, and perhaps even agile governance.

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7 tell-tale signs of fake agile

CIO Business Intelligence

The same is not true, sadly, for many agile project management and development initiatives. Too often, an organization may launch something that looks like an agile program, calls itself an agile program, claims to operate like an agile program, yet really isn’t an agile program in the least.

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Big Data Project Management: What’s In & What’s Out?

CTOvision

This should not be a surprise to anyone planning or managing such a big data project and suggests the need for both project management experience as well as data science and technical knowledge, as discussed in You Need a Project Manager on Your Big Data Team.