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Analyst’s corner digest #9

Analysts Corner

Editor’s choice If you have time for just one article, we recommend you read this. In this article we’ll explore 3 ways to get out the trap of being solution oriented up front to shift more into the problem and needs to get better requirements. > Top stories published in September 2022 Hi there! It’s a big waste of time.

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Using Data Analytics for Selecting Staff Augmentation & Managed Services

Smart Data Collective

Big data and predictive analytics helps companies project future employment needs and allocate sufficient capital to their human resources. They are of two types and from any option, you can select which one is best for your. “What method would be suitable for my company?”, Anticipating hiring needs. you may ask.

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Analyst’s corner digest #19

Analysts Corner

Reflecting on the previous year, I’ve noticed a few strong trends in our articles. In this issue of Analyst’s corner digest we’ve got the articles about: Requirements elicitation: building partnerships and committing to good requirements, asking the right questions and an intriguing: Why do we ask the most important question — “Why?”

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Salesforce Configuration or Customization

GAVS Technology

The organizations who decide to have Salesforce as their CRM are often in a dilemma about choosing the right method. To optimize the various features available with Salesforce, an organization has to choose either a Salesforce configuration or a Salesforce customization, or at times a combination of both methods.

Digital 52
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User stories vs use cases

Analysts Corner

Which one is more suited for my project? What if I choose one method over the other? A user story is part of the (product/project) backlog. In many projects, user stories are also represented visually as a user story map, which is a structured visualization of a backlog. Customer selects specific movie from the list a.

Agile 130
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Analyst’s corner digest #17

Analysts Corner

We are finishing this year’s projects, heading to the final push before some time off over the holiday season; and as a result we learn a lot and share this knowledge. We’re too optimistic, with short memories that mask the painful overruns from previous projects. We’ll cover what they are in this article. >

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Algorithmic Trading Communities Show the Benefits of AI

Smart Data Collective

Fintech companies are projected to spend over $12 billion on AI this year. Algorithmic trading refers to a method of trading based on pre-programmed instructions fed to a computer. It’s a massive sector, worth $13 billion as of 2021, and yet still growing, projected to witness a compound annual growth rate (CAGR) of 10.5%