Avoid data overload for successful dashboard design
Experts recommend applying clarity and simplicity to stay on the path to success in dashboard design. Read Now
As the use of business intelligence and advanced analytics technologies proliferates in more companies and plays a bigger and bigger role in business success, deployments of data visualization software and tools are also expanding -- and evolving. BI and IT teams increasingly are getting requests from business users for data visualization capabilities, often delivered through user-friendly BI dashboards, to help meet business intelligence objectives. Furthermore, the growing adoption of big data applications increases the complexity of business data analytics, including the types of visualizations that data scientists and other users are looking to run. Used effectively, new data visualization tools and well-thought-out dashboard designs help streamline the visual presentation of large, complex sets of data for better business decision making.
Yet the wide array of available features and options can be overwhelming. Business intelligence managers and consultants say that dashboard designers must fight the temptation to create glitzy dashboards with bells and whistles galore and instead focus on what business users most need. In addition, a variety of vendors have advanced data visualization tools on the market. Understanding the different capabilities they support and identifying the appropriate tools for an organization's specific BI program needs are crucial steps for companies looking to effectively and meaningfully represent large sets of data without weighing down BI and IT staffers with development and end-user support tasks.
To help analytics and BI project teams navigate the challenges, this guide offers expert insight and advice on dashboard development and data visualization trends, including the application of data visualization tools in big data environments.
1Data visualization tools evolve with big data
Data visualization in the world of big data is challenging, yet increasingly necessary. And, in many cases, the use of data visualization tools must change to accommodate the needs of big data. In the articles in this section, experts offer fresh ideas on combining data visualization and big data analytics.
Achieving big data analytics success with data visualization tools
Gain insight into the potential value of data visualization capabilities in big data analytics applications. Read Now
Data visualization tools offer more capabilities -- and challenges
Data visualization tools are now advanced technologies that support complex operations, including big data applications. But those capabilities come with more challenges. Read Now
Big data propels evolution of data visualization tools
Learn how the world of data visualization and data visualization tools is changing to meet the needs of big data. Read Now