By providing sophisticated analytical features and algorithms in an easy-to-use self-serve environment, the enterprise enables business users to perform data preparation and test theories and hypotheses and prototype on their own. Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, IT enabled (rather than IT controlled), self-serve data preparation allows users to compile and prepare data and use that data in analytics to test hypotheses, perform visualization and create and share reports, and create custom alerts and other information. Business users can control the data elements, the volume and the timing.
If your organization is implementing self-serve business intelligence, it is important to balance sophisticated tools with the skills of the average business user. While algorithms and advanced data analysis are a great benefit, if business users find these tools daunting, they won’t adopt them, and you won’t improve productivity, or timeliness or accuracy of decision-making.
Complex BI tools are not suitable for the self-serve environment. These tools are meant only for programmers and data scientists. To empower business users and allow them to achieve goals and contribute to the bottom line, you provide advanced analytics and 
Nearly every organization has BI tools, but not every organization takes the Smarten approach to business intelligence. The components of the Smarten approach include 
If you are frustrated with BI tools, and looking for self-service Advanced Analytics to achieve your goals and empower users, you should understand the difference between traditional BI tools and the Smarten Advanced Data Discovery approach. The 
