Interview with – Mario Mrljic
summary
Neos builds a data intelligence platform that indexes datasets, shows lineage, usage counts and simple reliability scores so business users can find and reuse trusted data; projects pair consulting with implementation rather than handoffs. A flagship engagement with a major Turkish bank wins a competitive RFP and delivers production analytics at scale, claiming operational uplifts around 15–20% in some flows. The talk cites common failures—about 85% of analytics projects fail—and stresses starting from business value, then selecting BI, datawarehouse, data lake or ML tools.
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chapters (6)
- 0:00Start
- 0:21As you participated in many domestic and international projects related to data warehouse, business intelligence, big data and data science. How did these projects help you develop professionally and open a company?
- 2:14How important is Data Intelligence for big & small companies?
- 5:09As you are a co-founder and CTO at Neos, can you elaborate to us what Neos do?
- 7:55How confident should you be that certain tools will aid in the whole process and all other components that will help you save time and be more effective in your data usage?
- 12:02We'd want to hear your thoughts on why it's necessary for C-level executives to attend this type of event and what you may get from attending a high-tech conference.
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