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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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Software project management challenges — and how to handle them

CIO Business Intelligence

One possible solution is to embrace the agile methodology of software development. Agile calls for collaboration among cross-functional teams as well as end users, and promotes adaptive planning, evolutionary development, continual improvement, flexibility in responding to changes in requirements and early delivery of products.

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

CTOvision

Here’s something to think about when you're planning a big data project: are you planning a project or a program ? Here's a simple distinction: A project typically has a beginning, middle, and end. In the real world the distinctions between these two “big dataproject types may not be so cut and dried.

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Agile vs. Waterfall: Which Should A CIO Choose?

The Accidental Successful CIO

There is the classic method that has been used for over 40 years called “waterfall” Then there’s the new upstart in town that everyone seems to be flocking to called “agile” All of these options can place a CIO in a difficult place. These will, of course, result in additional project costs and time.

Agile 242
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The Tip of the Spear II: Connecting Big Data Project Management with Enterprise Data Strategy

CTOvision

If data analysis is Big Data’s "tip of the spear" when it comes to delivering data-dependent value to customers or clients, we also must address how that spear is shaped, sharpened, aimed, and thrown – and, of course, whether or not it hits its intended target.”. Data sharing. Data standards. Data analysis.

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Streamlining IT for agility

CIO Business Intelligence

Here, agility is essential, and smart IT leaders are doubling down on efforts to streamline IT, whether that involves reprioritizing projects and realigning the IT portfolio, rationalizing applications and pursuing cloud-native approaches, increasing automation through DevOps or AIOps adoption, or overhauling the structure of IT operations.

Agile 136
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Digital pragmatism at Volvo means more control and less agile

CIO Business Intelligence

Previously, we didn’t have access to all the data about our customers because we didn’t have the direct customer contact,” says Altehed. We were going to leave our data centers, and we did,” he says. “In Volvo Cars’ digital department started to work agilely according to the SAFe Framework in a product-oriented model in 2018.

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