web analytics

How to Effectively Visualize Your data with Microsoft Power BI

Data Science is rapidly changing the world of business as we know it. In this post, we will be talking about Microsoft Power BI and how you can visualize critical pieces of information within your Data using it. When you combine Big Data with Data visualization, you get a number of business insights. These insights have the power to change the face of any company, and exponentially increase revenues when adequately channelized.

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How Can DataViz Help Cross-disciplinary Workforce Collaboration

Today, the boundaries between departments and product development teams are vanishing as cross-disciplinary workforces arise as the new norm. Collaboration in these employee groups is not limited to the sitting spaces, discussions, or let alone internal reviews. The industry requires employees to proactively work on interwoven domains to create a single product. But, how do these people from various educational backgrounds and functional areas come together for sharing information?

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Why DataViz is important? 2 Simple Examples to Explain

“A picture is worth a thousand words”. This sentence summarizes all the interest and the purposes of Data Visualization – or DataViz for intimates. Data Visualization is the technique of representing data in a visually understandable form (tables, charts, maps, chronologies …) in order to facilitate reading and analysis. In the age of Big Data, the DataViz is more essential than ever to see clearly in the tons of data processed by companies.

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What are the Differences between Data Analytics, Data Science, and Big Data Analytics?

Is Data Analytics reserved for large groups? These days, we are talking a lot about Data Analytics (DA), Business Intelligence (BI), Data Mining, Data Science, Big Data, and so on. But do we know their meanings of these buzz words?
Year after year, the notions hidden behind these words evolve and because each professional of the analytics (data specialist or software publisher) assigns them a perimeter specific to their own profession and their environment of intervention.

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