Published: 18 December 2014
Summary
Big data discovery is the next level of self-service analytics that business users will leverage to explore big data sources without support from a data scientist. Business intelligence and analytics leaders should use it as a stepping stone to a more advanced big data initiative.
Included in Full Research
- The convergence of data discovery, advanced analytics and big data paves the way for big data discovery and will help BI and analytics leaders start the exploration of big data sources
- The evolution of data discovery
- The evolution of advanced analytics
- The evolution of big data
- Convergence leads to big data discovery
- Big data discovery will intensify existing problems in information exploration, echoing challenges created before by data discovery; BI and analytics leaders will find this is now augmented due to the expanded scale and complexity of big data sources
- Big data discovery may require investigation by BI and analytics leaders to seek a portfolio of technologies and tools to be deployed; since no single vendor offers all the components required, from data access to advanced analytics
- Big data discovery will help expand the use of big data analytics because exploration of big data sources will occur more often, much faster and at a lower cost per analysis, delivered by a broader range of users with more rudimentary technical skills
- Broad range of users and use cases
- Stepping stone for big data analytics