How can organizations boost their Big Data IQ?

1. Adopt Big Data platforms that enable data discovery and exploration. A Big Data platform should enable users to understand the variety of data, their sources, along with the quality and relationships to other data elements, while data is in place. This process enables data scientist to create the right analytic model and computational strategy.
2. Run analytics against the whole population of data, irrespective of the variety, structured or unstructured. The key point here is that organizational process do not make a distinction between underlying data structures.
3. Gain competitive advantage by running analytics faster than others. To do this, it might be necessary to run analytics on the same platform as data processing.
4. The ability to run analytics in realtime, enables organizations to react faster to change and gain competitive advantage.
5. Taking point 1) further, it is useful to have access a rich library of analytical functions and tool set. This will enable organizations to analyze and publish results much faster.
6. Tools that enable organizations to establish trust in data are critical for success. These tools should be able to address policy, security, governance, integration and lifecycle management requirements.