Applying advanced analytics is a resource intense process. Applying big data analytics requires significant competence and resources, and it comes with BIG challenge/s such as parsing through billions lines of information and structuring that into relevant and valuable business outputs like predictions. Several vendors at this time, claim they can solve this challenge with different approaches. But is this challenge really solved? This session covers practical insights into how this problem can be approached and real examples on functioning use cases.
Questions:
- Is this really an issue? What are the main bottlenecks for producing value?
- Is the answer really a new tool? What are the different vendors solutions and do we need them?
- What is coming and should we wait for it? Is the data scientist the answer?
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