Data Discovery
Today’s data-driven professionals have already recognized how important data discovery is – and they do it by necessity in the best ways they can – but the efficiency and results of these efforts vary widely. The need for better tools and methods has become more urgent for several reasons:
DCW Software Hellas has teamed up with to major companies in the field of Data Discovery and Business Intelligence in order to ensure that the best possible solutions are provided to our customers, adressing their unique needs.
Click on our partners' logos to find out more!
- Big data. On big data projects, data discovery is both more important and more challenging. Not only is the volume of data that must be efficiently processed for discovery larger, but the diversity of sources and formats present challenges that make many traditional methods of data discovery “choke.” Cases where big data initiatives also involve rapid profiling of high-velocity big data make data profiling harder and less feasible using existing toolsets.
- Real-time analytics. The ongoing shift toward (nearly) real-time analytics has created a new class of uses cases for data discovery. These use cases are valuable but require data discovery tools that are faster, more automated and more adaptive.
- Agile analytics and agile business intelligence. Data scientists and business intelligence teams are adopting more agile, iterative methods of turning data business value. They perform data discovery processes more often and in more diverse ways; for example, when profiling new data sets for integration, seeking answers to new questions emerging this week based on last week’s new analysis or finding alerts about emerging trends that may warrant new analysis work streams.
DCW Software Hellas has teamed up with to major companies in the field of Data Discovery and Business Intelligence in order to ensure that the best possible solutions are provided to our customers, adressing their unique needs.
Click on our partners' logos to find out more!