It has been said that “a picture is worth a thousand words.” And today, in the era of big data, when businesses are inundated with information from varied data types and from on-premises and cloud-based sources, that old saying has never been more relevant.Data visualization represents data in a visual context by making explicit the trends and patterns inherent in the data. Such practices and trends may not be detailed in text-based data. Most tools allow the application of filters to manipulate the data as per user requirements. The traditional forms of visualization, in the form of charts, tables, line graphs, column charts, and many other states, have of late been supplanted by highly insightful 3D visualizations. Data analytics go a step deeper, identifying or discovering the trends and patterns inherent in the data. While allowing users to make sense of the data, data visualizations need not give the complete picture. Visualizations are only as compelling as the data used to prepare the visualization in the first place. Feeding visualization engines with incomplete data will render half-baked, obsolete, or erroneous visualization. We are into data visualization and analytics, unleashing the potential of BIG data by accessing relevant insights to data science and providing analytics implementation support to Financial, Automotive, healthcare, and retail verticals.