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Let’s talk about the application of social media and social networking within the Business Intelligence environment. This might seem like an odd concept but give it some thought. Every consumer and business user is now used to the idea that they can share, rate, discuss and learn from others. This idea has become an expectation and it could and should apply to Business Intelligence (BI) and to your business users as well!
A BI tool that supports mobile, self-serve data preparation, plug n’ play predictive analysis and smart data visualization will provide business users with sophisticated tools and algorithms that are easy-to-use and provide access to data that is easy to share and personalize. Business users can use these tools to become Citizen Data Scientists and in so doing, an organization will begin to see the emergence of power users who take a creative, insightful approach to data analysis. When users can share this data in reports and dashboards, the next logical step is to allow those users to comment on, share, and recommend data, reports and 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 power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and, more importantly, will begin to understand what types of data users value, and how to provide and present data to improve data leverage, and increase confidence in decisions.
Understanding the social aspect of data analysis, and data popularity, can help IT staff and executives gain insight and offer the most beneficial support to the organization.
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