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Analyst’s corner digest #18

Analysts Corner

This time, we’ve got a collection of stories about business analysis, data, agile, and product and project management. Essential practices for business analysis success are surely a must read from the list — based on many years of practical experience. and a personal story of becoming a business analyst.

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Replacing Legacy. Part 5: Cloud, SaaS Legacy, and AI

Analysts Corner

It is less practical and not about business analysis work on such projects. AI is more speculative; knowing it impacts the industry, we still need to find out to what extent that will be. Part 1: Definition, Reasons, Characteristics Replacing Legacy. Part 2: Archeology, Politics, Red Flags Replacing Legacy.

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In-Demand Business Analytics Skills to Get You Hired in 2024

The BAWorld

Having the necessary skills is essential for securing desired positions in the field of business analytics in the fast-paced business environment of today. Professionals with the necessary experience are in great demand as businesses continue to use data to inform strategic choices and obtain a competitive edge.

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Business Analyst Interview Questions and Answers

The BAWorld

Getting ready for an experienced Business Analyst interview goes beyond the basics. In this blog post, we’ve gathered questions tailored for professionals with experience in the field. These questions aim to uncover your know-how, problem-solving skills, and how well you handle real-world business challenges.

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How Do I Get into Data Analytics with No Experience?

The BAWorld

Data analytics, the practice of gathering, cleaning, and studying information to extract valuable insights, stands as a highly sought-after and rewarding career path. The increasing reliance on data-driven decision-making in businesses has led to a growing demand for data analysts. The answer is a resounding yes.

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

Data Pine

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks?

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

1) What Is Data Quality Management? 2) Why Do You Need DQM? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.