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Corporate Data Science: Leveraging Massive Data Analysis for Competitive Advantage (July 2016 Boston,MA) EFRON Consulting and SFL Scientific are proud to offer a fully tailored corporate data science service. We leverage EFRON’s expertise in managing complex enterprise wide I/T initiatives with SFL’s data science experts. Whether it be market analysis to increase your business competitiveness or deep learning for self-driving cars, together EFRON-SFL can support all your data science needs. At EFRON-SFL, we subscribe to the CRISP-DM methodology for the execution of our data science engagements. CRISP-DM is the Cross Industry Standard Process for Data Mining, consisting of six cyclic phases from business understanding to final deployment. On any project, the first step is careful planning. This is the Business Understanding phase. We will sit down and clearly understand your For more information, contact Michael Segala at [email protected] or visit our website www.sflscientific.com corporate objectives, so that we can map them to successful outcomes. The next phase of data preparation is typically the most time consuming. This ranges from data scrubbing, conversions, and quality investigations until ultimately we can implement a repository for the cleaned data to be stored. We at EFRON-SFL will lead you through the warehousing options and trade-offs to ensure your exact business needs are met. The data, properly cleaned and stored, is now ready to be analyzed. It is here that we use the latest and greatest big data techniques to extract the value from your data. The advanced methods we use live at the intersection of applied mathematics and computer science. Common algorithms include: Bayesian Networks, Hidden Markov Models, Game Theory, Neural Nets, SVMs and Decision Trees with applications in diverse fields such as Time Series Forecasting, Disease Diagnosis, Customer Segmentation, Artificial Intelligence and Natural Language Processing. For more information, contact Michael Segala at [email protected] or visit our website www.sflscientific.com Using these methods, the model is created through a process called “training”, where we derive robust statistical patterns to explore and model your data. After we validate our results using analytical techniques, we are ready to deploy the model. This final step is where we will predict, classify, and diagnose on new data. EFRON-SFL will guide you through the entire CRISP-DM cycle to give your organization true market advantages. Contact us for more information on how we can leverage these technologies to enhance your business. EFRON Consulting: A global organization with over 700 employees, we support dozens of enterprise-level engagements in industries ranging from banking, insurance, healthcare to telecommunications across three continents. SFL Scientific: A boutique data science consultancy, founded by three Brown University Physics PhDs. SFL Scientific specializes in using advanced machine learning to solve your big data problems. For more information, contact Michael Segala at [email protected] or visit our website www.sflscientific.com