Why as a Business Analytics need a Data visualization -introduction

Data visualization

Introduction

 

Data visualization is a general term that describes any effort to help people understand the importance of the data by placing them in a visual context. Patterns, trends, and correlations that may go undetected in text-based data can be more easily exposed and recognized with data visualization software.

The visualization of analytics results, through dashboards, provides the means for decision makers within a company to quickly grasp the meaning of the information. Companies should think about how they want the information layer to be presented before embarking into an analytics project. The information layer should be directly correlated to the business objectives. Also, it should be flexible to add new requirements. Companies should consider utilizing the advances in visualization techniques when planning a dashboard. This includes the ability to see the condition of a company through business metrics in a 3-D manner. The utilization of a 3-D graph.

Today, data visualization tools go beyond the standard graphics and graphics used in Excel spreadsheets, displaying data in more sophisticated forms such as infographics, dials and calipers, geographic maps, dynamic maps and detailed charts Of bars, cake and fever. Images can include interactive capabilities, allowing users to manipulate or drill into the data for consultation and analysis. You can also include indicators designed to alert users when data has been updated, or predefined conditions have occurred.

Most business intelligence software providers incorporate data visualization tools into their products, either by developing visualization technology or by getting it from specialized visualization companies.

This source from this link:
https://www.oracle.com/solutions/business-analytics/data-visualization.html
http://www.dashboardinsight.com/news/news-articles/the-importance-of-data-visualization.aspx

For more information on Analytics, please visit 

https://analyticsinbusinessworld.blogspot.com/