Data Visualization

Data visualization is the presentation of data in a graphical or pictorial format designed for the purpose of communicating information or deriving meaning. It validates the users/decision makers to see analytics visually so that they would be able to understand the new concepts. This data helps – to derive insight and meaning from the data in the communication of data and information in a more effective manner

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In a survey of approximately 700 business professionals, only 15% said their organization is currently very effective in delivering a relevant and reliable customer experience. In the same survey, only 3% of respondents said they are able to act on all of the customer data they collect; 21% say they can act on very little of it.
Only 16% of organizations can currently say that 75% or more of their employees have access to company data and analytics.
In 2025, the IoT data analyzed and used to change business processes will be as much as all of the data created in 2020.
45 percent of companies run at least some big data workloads in the cloud.
In the banking sector, investments in big data analytics were estimated at $20.8 billion in 2016.
By 2020, there will be 2.7 million job postings for data science and analytics roles.
Customer/social analysis is considered the second most important big data analytics use case, followed by predictive maintenance.
Businesses that use big data saw a profit increase of 8–10 percent.
More than 30 percent of businesses say big data and analytics have fundamentally changed business practices in their research and development departments
The amount of data generated each second in the banking sector will grow 700 percent by 2020.

Data Visualization

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