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What, Why, and How of Data Visualization

The BAWorld

Data Visualization. Did you know visualization has been in use since (and well before that as well) 1824 AD to develop an Egyptian map – the Turin Papyrus Map. Every data set tells us some story, but we need practical tools to find and communicate the story’s purpose with the stakeholders.

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Business Analyst vs Data Analyst – What is the difference?

The BAWorld

They employ various methods for collecting insights from the information that allows users to understand the data and make decisions. Thus, they should have a good knowledge and experience in using data analysis tools, and techniques as well as data visualization and statistical analysis. billion in 2023 to $581.34

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Build an Agile Data Warehouse with an Iterative Approach

Astera

If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end. What do you need to build an agile data warehouse?

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Analyst’s corner digest #12

Analysts Corner

This time we have quite a few new articles and authors joining us, as well as a whole series of stories on data analytics: building your career and skills in data, including some hands-on tutorials on R and Python. One of the articles will come back to the topic of the meaning of agility. And is important at all?

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Analyst’s corner digest #19

Analysts Corner

> Keep reading… Agile & SDLC 1) Managing backlog flow with the “Rock Crusher” method by Nuno Santos Managing the backlog is not always easy, given its importance. As we step into 2024, the pathway to becoming a data analyst encompasses a blend of education, skill development, and understanding of emerging trends in data analytics. >

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Big Data And Analytics Has Been Around Forever! Why Is It Still Important?

Timo Elliott

Visualization of data analyses can make or break how the analyses are understood. Good data visualization is vital. It’s about combining efficiency and stability on one hand with agility on the other hand. What should companies do to improve their data analytics? First, it’s all about the data.

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Small and Medium Sized Businesses (SMEs) Needs Self-Serve Advanced Analytics!

ElegantJ BI

A fact-based, data-driven analytical approach will ensure that the business can identify and capitalize on business opportunities, plan for new products, optimize processes and resources and target customers, investments and locations that will help the business to achieve results.