In our first article in the two-article series, entitled ‘
Guarantee BI Success: Why Self-Serve BI Initiatives Fail‘, we talked about the various factors that can dictate the success or failure of a self-serve business intelligence solution implementation. Factors like poor User Adoption, Data Access, Features and Benefits, Self-Serve Analytical Capability, Data Sharing and Reporting, Cost vs. Benefit, and Data Discovery issues must be considered in order to ensure the success of your self-serve business intelligence initiative.
The Self-Serve Data Preparation trend is growing by leaps and bounds. Why? Well, there are a lot of reasons to like Self-Serve Data Preparation and Self-Serve Business Intelligence solutions. Here are just a few:
Consider the time and effort involved in the ‘old world’ of business intelligence data preparation! How on earth did we ever get anything done? Armies of data analysts and IT staff slaving over data, compiling, analyzing, graphing, charting, taking requests from managers and users and engaging in an endless exchange and interaction to assure that the requirements are understood and met. By the time the data analysis was delivered, it was old, sometimes incomplete and perhaps delivered in a form that might be misinterpreted by its audience.
Social networks and social media are ubiquitous! Every aspect of modern life (personal and business) involves sharing and social interaction, whether one is broadcasting information about a recent family event, posting a picture, asking opinions at work or promoting a new product or event.In the old days, team members and employees shared and discussed information at the water cooler or in the cafeteria.
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 and to your business users as well!
