Among the topics we discussed:
- Enterprises everywhere are struggling with getting the most from data analytics – most of it is never actually mined for intelligence. Where’s the biggest problem? Is it silos, lack of scale, a resistance to the metrics, a lack of data prep, is it the software itself? What’s holding us back?
- What advice would you give to companies seeking to get more from their data analytics? What one practice will move them forward the most?
- What about a tech trend that is influencing how companies use data. The Edge is maturing; more data is crunched at the edge. AI is helping humans process data. Is there a tech trend you’d point to that’s influencing data mining that companies need to be aware of – or more focused on?
- What do you see in the near to mid-term for the future of data analytics? A key milestone?
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