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3 Steps to Performing Competitive Analysis

Business Analysis Knowledge Share

Step 2: Gather Data Once the competitors are identified, gather data on their business operations, market strategies, customer feedback, and financial performance. Look into their marketing strategies, sales tactics, customer experiences, and online presence. Stars 4 Stars 3.5 Stars 4 Stars 3.5

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Introduction To The Basic Business Intelligence Concepts

Data Pine

We have already entered the Zettabyte era, also mentioned as one of our tech buzzwords for 2019, and, for scale, in 2012, the entire Internet only contained ½ of one zettabyte in data. Depending on how you see it, this incredible amount of data is either a huge headache or the world’s greatest opportunity. followed by 18 zeros.

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Reflecting on a decade of data science and the future of visualization tools

Tableau

In this blog post, I summarize several of the key takeaways from this research paper and share my thoughts on how its findings can help us build the next generation of data visualization tools for data science. . What is data science? It turns out data science is different things to different people.

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Reflecting on a decade of data science and the future of visualization tools

Tableau

In this blog post, I summarize several of the key takeaways from this research paper and share my thoughts on how its findings can help us build the next generation of data visualization tools for data science. . What is data science? It turns out data science is different things to different people.

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How Can Smart Data Discovery Tools Generate Business Value?

Data Pine

As we mentioned at the beginning of this article, the big data industry has shown exponential growth in the past decade. Studies say that more data has been generated in the last two years than in the entire history before and that since 2012 the industry has created around 13 million jobs around the world.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

Data Pine

With the COVID-19 pandemic, the general public was forced to consume scientific information in the form of data visualizations to stay informed about the current developments of the virus. Here they speak about two use-cases in which COVID-19 data was used in a misleading way. But this didn’t come easy. Source: Bill Grueskin.

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