D ata is the lifeblood of any business. It helps businesses make decisions, track progress, and understand their customers. But as data grows in volume and complexity, it becomes more difficult to manage. This is where virtualization comes in. Virtualizing data allows businesses to create a digital copy of their data that can be accessed and manipulated without affecting the original. This provides a number of benefits, including improved data security, easier data sharing, and reduced costs. In this blog post, we will explore the reasons why businesses need to virtualize their data, so let's begin with the first one: It eliminates redundancies Virtualizing data helps businesses avoid redundancies and enables them to use a single instance of data across multiple applications. This leads to more efficient use of resources and improved performance. In addition, when data is virtualized, it is stored in a central location that multiple applications can access. This eliminates the need
Analytics visualization is part of the growth and expansion strategies that plays prominent role for the growth and prosperity of any business and to attain its short term as well as long term goal. It helps significantly to identify patterns, trends and outliers in large data sets. It majorly uses information graphics, information visualization and statistical graphics.It is one of the steps of the data science process, which states that after data has been collected, processed and modeled, it must be visualized for conclusions to be made.Analytics visualization is also an element of the broader data presentation architecture (DPA) discipline, which aims to identify, locate, manipulate, format and deliver data in the most efficient way possible. It is used worldwide to display the results and exploring advancements to share information with stakeholders. It also plays an important role in big data projects. As businesses accumulated massive collections of data during the early y