Data Visualization Analytics

  • Rich Graphical Representation of Complex Data Results.
  • Intuitive Presentation of Business Results and Trends.
  • Dynamic, Interactive Self-Service Information Generation and Manipulation.
  • On-Premises, Remote, and Mobile Accessibility.

A primary challenge faced by decision makers in all businesses is the inability to access the right information at the right time. Requests to IT departments usually end up on backlogs. When the request is eventually addressed, the business opportunity is already lost.

Data visualization technologies enable business users with self-serve capabilities to source data from a range of on-premises and cloud hosted data management technologies, generate intuitive visual representations of the reported results, and present the information upon graphically rich business intelligence dashboards of information.

Data visualization is the technique of encoding and communicating data as visualized information by encoding it in graphics such as charts, points, lines and bars. Its purpose is to increase the clarity and understanding of the presented data, and its patterns, trends and relationships. To provide an effective and efficient means of organizing the data, and gaining instant insights from it. After all, visualized information is easier to comprehend than reading tables of raw data.

The availability of business intelligence services in in the form of data visualizations empowers decision makers with the ability to ask further questions based upon the displayed information, as opposed to trying to figure out how or what is displayed. Data visualization plots, charts, smooths, and weighs the raw data in a visual manner that allows decision makers to better understand their data, and can make decisions based upon true facts and figures as opposed to the hunches and opinions of individuals.

Data visualizations are presented upon business intelligence dashboards. A dashboard is a medium or tool that is used to present data visualizations. Technologies such as Microsoft Power BI and Tableau allow for intuitive data visualizations dashboards to be developed and simultaneously collaborated amongst geographically dispersed decision makers via on-premises and mobile devices. Translating raw data into visual analytics and communications, allowing for the information to be easily understood and remembered, even when sharing with a broad audience spanning different languages and cultural barriers.

To be highly effective, it is important to design the right visualizations for your data for easy interpretation by the decision maker. Examples of dashboard data visualizations can include: tables, simple bar, line and pie charts; scatter and box plots; gauges; heat maps; and geographical mapping for displaying of geospatial data.

Data visualization techniques provide the ability to overlay and visually mash up the raw data with the visualizations in ways that cannot be done with a tabular presentation. It provides an easier way to tell data stories and provide a narrative about what is happening.

Selecting the most appropriate visualization to represent the raw data begins with identifying the characteristics of the source data which can include: its granularity, number of business dimensions to be reported upon, and its time frequency. Next the purpose of the visualization, whether it is for showing or exploring data is determined. Finally the simplest means of representing the data with visualization is chosen in preparation for implementing the delivery of the information to the consumer.

The visualizations are deployed within a dashboard as a mosaic of informational sources. Each individual visualization can be integrated with the others sharing the dashboard. So that when a decision maker interactively adjusts the information displayed for one visualization, it dynamically changes the information displayed by each of the related visualizations on the dashboard. Enabling decision makers to conduct exploratory exercises via a data visualization dashboard to understand the impact of an action in one area of the business, upon the other functional areas of the organization.

    © 2019 Data2Intelligence Inc.