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Unit 7: Business Analytics and Data Visualization




          Data visualization is the presentation of data in a pictorial or graphical format. For centuries,  Notes
          people have depended on visual representations such as charts and maps to understand
          information more easily and quickly. As more and more data is collected and analyzed, decision
          makers at all levels welcome data visualization software that enables them to see analytical
          results presented visually, find relevance among the millions of variables, communicate concepts
          and hypotheses to others, and even predict the future.
          Because of the way the human brain processes information, it is faster for people to grasp the
          meaning of many data points when they are displayed in charts and graphs rather than poring
          over piles of spreadsheets or reading pages and pages of reports.

          Visualization tools go beyond the standard charts and graphs used in Excel spreadsheets,
          displaying data in more sophisticated ways such as dials and gauges, geographic maps, time-
          series charts, spark lines, heat maps, tree maps and detailed bar, pie and fever charts. Patterns,
          trends and correlations that might go undetected in text-based data can be exposed and recognized
          easier with data visualization software.
          Visualized data is frequently displayed in business intelligence (BI) dashboards and performance
          scorecards that provide users with high-level views of corporate information, metrics and Key
          Performance Indicators (KPIs). The images may include interactive capabilities, enabling users
          to manipulate them or drill into the data for querying and analysis. Indicators designed to alert
          users when data has been updated or predefined conditions occur, can also be included.




             Notes  Most business intelligence software vendors embed data visualization tools into
             their products, either developing the visualization technology themselves or sourcing it
             from companies that specialize in visualization.

          Interactive Visualization

          Interactive data visualization goes a step further – moving beyond the display of static graphics
          and spreadsheets to using computers and mobile devices to drill down into charts and graphs
          for more details, and interactively (and immediately) changing what data you see and how it is
          processed.

          Importance of Data Visualization

          Visualizations help people see things that were not obvious to them before. Even when data
          volumes are very large, patterns can be spotted quickly and easily. Visualizations convey
          information in a universal manner and make it simple to share ideas with others. It lets people
          ask others, “Do you see what I see?” And it can even answer questions like “What would happen
          if we made an adjustment to that area?”

          Consider the manufacturing director of product reliability for an international company that
          produces small vibrating cell phone motors. One of the director’s principal responsibilities is to
          determine how reliable the cell phone motors will be with each year of age. If the product’s
          reliability falls short of the standards set forth by the cell phone manufacturers who use the
          motors, his company could lose major contracts.











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