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Analyst’s corner digest #18

Analysts Corner

Top stories published in October 2023 Hi there! This time, we’ve got a collection of stories about business analysis, data, agile, and product and project management. and a personal story of becoming a business analyst. Another month, another edition of the Analyst’s corner digest. A nice way to finish a busy month.

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BA Techniques?—?Prioritization

Analysts Corner

BA techniques — prioritization Photo by Ch_pski on Unsplash Feature and user story prioritization is important for business analysts in a development project for several reasons: Alignment with business goals : Business analysts play a key role in aligning the development project with the overall business goals and objectives.

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Getting Started with Data Storytelling

Juice Analytics

How to get started with data storytelling? For the beginner — and even for the experienced data analyst or data scientist — data storytelling can be a vague, disorientating concept. The “last mile” of analytics Data storytelling is about helping make your work pay off. How do they best absorb data?

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12 Rules for Data Storytelling

Juice Analytics

Are you ready to learn how to be a data storyteller, but don’t have enough time to review the many great resources ? Or maybe you don’t have the time to attend a world-class data storytelling workshop ? Here’s the CliffsNotes version of what it takes to tell stories with data. Don’t hide your agenda and message.

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How Data Storytelling Can Build Better Customer Connections

Juice Analytics

The same is true about delivering data to your customers. Reporting is more than a feature of your product, it is an opportunity to remind customers of the value your solution provides. It is a delightful journey through personalized data and a reminder of how much you have enjoyed the service throughout the year.

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Replacing Legacy. Part 3: Conversion & Data Mapping

Analysts Corner

This time, we discuss a more down-to-earth topic using a headless backend legacy system that performs calculations and data transformations as an example. And migrate them to new APIs with the updated data format/new models. And migrate them to new APIs with the updated data format/new models. So, let’s see a few options.

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A Nimble organization makes experiments but pivots quickly

Analysts Corner

Inspired by the webinar series about nimbleness from The Brazilian BA (Fabricio Laguna), I believe there is room for knowledge about how an experimentation mindset is always present in a nimble organization and how to make decisions about those experiments. What is a Nimble organization? The scope becomes wider. -

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