An eclectic crowd of 200 people packed a May 8th Big Data Science meetup event to munch pizza and hear a presentation on some of the latest trends in Big Data science. Asking for a show of hands on what the audience's primary interests were, presenter Sri Ambati got multiple responses: Business analysis, Business Intelligence, analytics, data warehousing, Big Data and Hadoop programming. There were also more than a handful of job recruiters looking to hire folks with Big Data experience.
Targeted at data scientists, who are often described as people who know more statistics than computer scientists and more computer science than statisticians, the talk may have been a little bit more technical than most of the crowd expected. The 100 or so who stayed until the end of the presentation were rewarded with a deep dive into how enterprises can make better real-time predictions from all of their data (instead of sampling). Co-founder and CEO of 0xdata (pronounced “hexadata,”), Ambati said the goal of his Big Data startup is to nurture a grassroots movement of mathematicians, systems engineers and data scientists to herald the new wave of discovery with Big Data science. H20, 0xdata’s flagship product, is a statistical analysis engine that uses Hadoop as its storage platform and runs machine-learning algorithms behind the scenes.
0xdata is one of a number of new companies trying to democratize Big Data Science by hiding the underlying data and the complexity of the advanced analysis. Much of the audience discussion before and after Ambati’s presentation focused on the lack of simple tools to solve Big Data problems, and the fact that running Hadoop clusters or performing analytics is still a job that requires a specialist. Sierra Ventures executive and entrepreneur Al Campa said, based on his experience, sales and engineering departments are leading the way in adopting Big Data and Predictive Analytic solutions in the enterprise, and that departments like Human Resources won’t join this movement until simpler tools are developed.
The Role of Organizational Intelligence
The key takeaway from this Big Data Science meetup was that collecting the data is only part of work you need to do in developing Big Data applications; you still need know-how or intelligence about what needs to be extracted from that data. With over a decade of experience in understanding the right metrics to use to monitor communication in dynamically changing environments, Hypersoft can help you properly choose and interpret metrics and do the analysis required to streamline and improve your company’s business processes. This includes using Organizational Intelligence to improve core business operational processes like sales, marketing, purchasing and manufacturing, as well as strategic management processes like merger/acquisition strategies. Find out more here.