MODERNIZING DATA VISUALIZATION WITH DASHBOARDS AND REPORTS: TOP FOUR STRATEGIES
Modernizing is critical to apply the latest technologies and practices to address areas where users are less than satisfied and data trust needs to be higher. In this article, learn about modernizing data visualization with dashboards and reports. Following are the four strategies for Modernizing Data Visualization: One: Use visualization to make it easier for users to gain actionable insights. All business users wish to increase the role of data and analytics in their decisions and actions. This means that organizations need to address challenges to the development and deliver actionable data insights and lock the opportunities to apply new methods and technologies. The revolution in data visualization and graphical user interfaces has unleashed new ways for organizations to deliver reports and provide access to data and related contextual information. Organizations need to continuously observe how well data visualization technologies are enabling users to quickly home in on actionable insights so that they are truly realizing advantages over traditional reporting. The use of color, shape, movement, and other visual design elements can direct users’ attention to what’s important, such as changes from expected data patterns or situations that demand immediate action. Builders of dashboards and other visual presentations should be careful to employ visual elements to increase clarity rather than distract or confuse users with misrepresentations and visual clutter. Two: Balance your self-service capabilities with the value of enterprise solutions According to TDWI Research, the adoption of self-service technologies for BI, reporting, and analytics continues to stan as a high priority for most organizations. As self-service technology adoption increases, many users are facing a range of problems that include lack of standardization, inconsistent data quality, difficulty getting a single view of the truth, and unsatisfactory query performance. These difficulties highlight the need for a better balance between self-service technologies and enterprise platforms for BI reporting and analytics. Enterprise platforms have the advantage of offering a perspective across the organization that departmental self-service technology systems cannot provide. At the enterprise level, organizations can establish data governance and security rules and data quality processes to be followed by all personnel. IT can make common metadata definitions available to all users, developers, and applications. Organizations can use enterprise platforms to resolve disputes about which data sources are most trusted, which calculated values and aggregations to use, and the accepted definitions for higher-level entities such as Customers. Three: Modernize performance management with analytics-based recommendations. As per TDWI, performance management remains a top driver behind the development of dashboards and particularly scorecards, which offer visualizations of metrics that are tied to the use of a management method, such as Balanced Scorecard or Six Sigma. Enterprise BI reporting and dashboards can help organizations integrate different KPIs and metrics and provide a centralized platform for keeping them up to date and aligned. Solutions with the latest functionality can enable users to work with visualizations and graphical interfaces rather than having to hand-code queries. To take advantage of these advances for modernizing performance management, organizations should develop a strategy for how they will over time integrate analytics and AI-driven recommendations into reports, dashboards, and scorecards. This will enable users to augment human decision making with emerging AI capabilities. Four: Improve operational excellence with actionable, real-time insights. Operations need dashboard portability across desktop, mobile, and large-format displays, which are often used in control centers and other situation monitoring locations where personnel need to see real-time updates in the course of their work. Data visualization choices for operational contexts must be made carefully. Organizations will often communicate updates through changes in color, animated objects, blinking icons, or even gamification, such as the competitive accumulation of points or progress toward a finish line. Before deploying these, organizations should consider human perception factors: that is, how people react to different colors, the relative size of objects or spaces, types of animation, and so on. Organizations should err on the side of clarity to ensure the visualizations highlight what is most important. About Technovert: Technovert offers comprehensive Data Analytics consulting services inclusive of Power BI solutions, Data Visualization, Dashboard Design & Development along with DBA support services. Know more about Modernizing Data Visualization. Contact us or schedule a meeting with our data visualization experts now.