Data Analytics remains incomplete without data visualization.

In a Data Analytics course, I understood how Tableau was a useful tool so as to create and explain a visual story that heavily relied on big data. As a student, I was given x-cases which required data retrieval, cleaning, manipulation, and analysis so as to make appropriate recommendations.

To start with, I have a double major in finance and international…

Outdated, inaccurate, or duplicated data won’t drive optimal data driven solutions. When data is inaccurate, leads are harder to track and nurture, and insights may be flawed. The data on which you base your big data strategy must be accurate, up-to-date, as complete as possible, and should not contain duplicate entries. Clean data results in…

Big data, this flood of data that scares some people, has moved from hype to reality. However, collecting more data does not always mean better insights. The exponential data growth via social networks and soon by connected objects tomorrow has become big challenges. The cursor should now be on the exploitation of useful data; or somebody call it Smart Data. How to achieve this mission to make intelligent data? Please see the Big Data posts from…

Fortune 500 companies are investing staggering amounts into data visualization. Many have opted for Tableau, Qlik, MicroStrategy, etc. but some have created their own in HTML5, full stack JavaScript, Python, and R. Leading CIOs and CTOs are obsessed with being the first adopters in whatever is next in data visualization. 

The next frontier in data visualization is clearly immersive experiences. The 2014 paper "Immersive and Collaborative Data Visualization Using Virtual Reality…