Social BI Software Improves Decisions and Engenders Data Sharing!
Social networking is here to stay. Your business users are familiar with these tools and, if used in the right way, these types of social tools can significantly contribute to a common understanding of information, and to collaboration and increased productivity.
Social business intelligence tools can transform business users into Citizen Data Scientists and help each user to better understand how to use data and analysis to further goals and objectives and to collaborate with other users to come up with the best solution for the business.
Social BI Tools provide an analysis portal through which business users can see popular data to rate, share and comment. This type of sharing can optimize resources by allowing users to access reports, dashboards and data that might be just what they need to complete a task or analysis. When you implement social media and social networking within the Business Intelligence environment business users can share, rate, discuss and learn from others.
With Social BI Dashboards, organizations can encourage the emergence of power users who will take a creative, insightful approach to data analysis. Just as social media users can ‘Like’ or ‘Share’ a provocative post from another user, a social business intelligence tool can support the same kind of sharing and learning within your organization.
As Social Business Intelligence gains popularity within the enterprise, managers will see improved user adoption of BI tools and will gain a better understanding of the types of data users value, and how to provide, and present, data to increase collaboration. Data agility and accessibility to share, rate, discuss and make confident decisions can help the IT staff and executives gain insight into what business users want and what they value when making a decision or creating a report.
Consider the hundreds of decisions made in your organization every day. Many of those decisions do not require 100% accurate data. These day-to-day decisions simply require enough, solid data and analysis to see a trend or a pattern or spot an opportunity or a challenge. An agile data environment creates a social network of users and allows for learning, sharing, collaboration and an increased understanding of interrelationships and dependencies within the enterprise.