Thomas Baumann, IT performance architect at Swiss Mobiliar and this week’s IBM Big Data and Analytics Hero, shares that once “once response times of analytical reports were improved by a factor of 100 or more, business departments were very interested to apply big data.”
What are the biggest challenges with getting started with big data and analytics?
To identify business use cases was quite hard; therefore, IT was the driver within the company. But once response times of analytical reports were improved by a factor of 100 or more, business departments were very interested to apply these new technologies.
What gold nuggets have you uncovered using big data and analytics?
Processing improvements for business processes were the first results achieved. How much and in which content our IT systems were used by employees and customers helped very much in understanding the usage in order to improve it. Additionally, some interesting correlations detected by iterative analytics directly on the OLTP data were detected.
What is the market still missing for big data and analytics to really deliver ROI?
So far, the technological foundations are available. But the perception of the difference between traditional (sample-based) analytics on a separate, dedicated data warehouse and the “N=all” paradigm with analytics directly on OLTP data allowing analytics on real-time data is not very clear yet. Therefore, strong business use cases are still hard to identify.
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