Many people think they are fancy and delicate, but those are generally only the dogs in show. Although the technical side of me was left wanting more, the business side of me was definitely satisfied hearing about the strategic and organizational challenges related to implementing an enterprise wide predictive analytics program.Eager, athletic, and easy to train, Poodles are famously intelligent dogs. Overall I had a great time meeting people from diverse industries and backgrounds leveraging data analytics to help grow their businesses.
Oliver pomello linkedin software#
BrytLyt (pronounced Bight Light) an ultra fast database which leverages GPU hardware and some software tweaks to PostgreSQL.Competition is not going to wait till you have all your ducks in a row.Īpart from listening to speakers I also got to meet a whole bunch of new startups in the analytics space. We need to rethink and restructure IT organizations to make sure the business gets the data it needs in the fastest possible way with minimal red tape. This sounds like a nineties problem but even today all too often we find companies in the middle of mergers and acquisitions which end up with data silos due to disconnected systems and multiple IT teams. He talked about the struggles he was having getting an integrated view of his company’s data due to data silos and IT bureaucracy which prevented data requests from being answered in a timely fashion. IT Organization: I had an interesting conversation with a gentleman who was a director at a fairly large insurance company. It starts with hiring the right people at the bottom and bringing in change agents at the top. Seek to build an analytics driven decision making culture. Strong collaborative cultures always win, and no amount of data and smart data scientists can rescue a company with a bad culture. Independent studies have shown that companies with a strong culture consistently outperform companies with a weak culture. His company helps organizations quantify the strength of their culture based on Stanford professor Dr. The key is to seek out champions for predictive analytics in the organization and pick the most pressing of business problems which can be addressed with data analytics.Ĭulture: The next speaker who caught my attention was the CEO and co-founder of Pomello, Oliver Staehelin, with whom I had a great conversation on culture after his presentation.
Oliver pomello linkedin full#
There might be trade-offs when you rely on statistics, but that’s where strong leadership will be called upon to stay the course and extract the full benefits of an analytics program. He pointed out that predictive analytics thrives when a leader in the organization knowledgeable in both business and technology picks the most pressing business problems to solve and champions them. Leadership: This point was hammered home by one of the presenters Joel Shapiro, Executive Director, Program on Data Analytics at Kellogg, Northwestern University. In hindsight, isn't this true of all strategic initiatives? Here are some key takeaways I got from the summit: Speaker after speaker, who were all great technically, acknowledged the fact that the intangibles in an organization have a big role to play in the success of an analytics program. Before the statisticians in my audience get all worked up, let me rephrase the last statement, success with predictive analytics in an organization depends more on aspects of an organization that are in no way related to data. I went in thinking I’ll learn more about random forest models and Bayesian algorithms but came out thinking predictive analytics is not actually about the data. This week I had the opportunity to attend the Predictive Analytics Innovation Summit in Chicago which was quite an interesting experience.
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