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Are These Agile Transformation Blind Spots Holding You Back?

Planview

It’s common to encounter blind spots when you’re navigating an Agile transformation. They can show up as Agile practices that are meant to improve business agility but are applied so extremely that they end up making organizations less agile. I sat down recently (and virtually, of course!)

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6 Agile Transformation Challenges Facing Post-Pandemic Leaders

Planview

One thing has become clear for organizations in this pandemic era – change is hard, and if you don’t have a transformation plan, you’re more likely to fall victim to one of these common Agile transformation challenges. At the start of 2020, the need for Agile transformation was already knocking on the door of most major organizations.

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Squads, Scrum, OKRs, Kanban and Design Sprint: how to combine agile practices and gain more efficiency

mjvinnovation

We all know that agile methodologies are not written in stone. The practice is very common within agile logic. We suggest reading our ebook “Design Thinking and Agile” so that you can go deeper into this subject and understand how these methodologies work together! What are the benefits of Scrum?

Agile 52
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Dynamic Planning in the Face of Uncertainty

Planview

We have all been taking a crash course in dynamic planning – being ready for, hypothetically, anything: Finding ways to minimize losses and maximize opportunities while moving forward into the unknown. But Agile businesses apply this more frequently (dynamically) and learn from their own delivery performance to inform their next actions.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Win at Digital Transformation By Connecting Portfolio Management and Value Stream Management 

Planview

When it comes to plans centered around knowledge work for digital- and technology-based initiatives, poor quality inputs make it harder to build accurate plans, know the progress and quality of work in the pipeline, identify potential risks, make course corrections based on those risks, and maintain timelines.

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3 Steps of Data Science to apply in your company

mjvinnovation

Download our ebook now to understand the impacts on the market. Of course, we will also deliver a step-by-step of the tasks that you need to perform to overcome that step. Besides, we must use agile methodologies, which work very well for this type of project. Want to learn more about Data Science? Discovery and modeling.

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