Interview with Win Fuller, Ironside Senior Data Scientist

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How Data Scientists Demystify Complex Questions

To help you understand Ironside’s philosophy on advanced analytics, data science, and predictive/prescriptive technologies, we thought it would be helpful to share insights directly from our data scientists.

Win FullerThis week I talked with Win Fuller, who has over three decades of experience with advanced analytics and business intelligence at a wide array of companies including Staples, VistaPrint, Upromise, Stax, and Bain & Company. Win holds a PhD in Econometrics from Tufts University, and specializes in predictive models addressing questions around churn, customer retention, and demand generation among many other analysis topics. He is also an expert in all aspects of data extraction, integration, and manipulation. His goal in any engagement is to use his experience to clearly understand and realize his clients’ business and analysis goals. Read more

Interview with Chi Shu, Ironside Senior Advanced Analytics Consultant

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How Data Scientists Reveal the Right Actions

To help you understand Ironside’s philosophy on advanced analytics, data science, and predictive/prescriptive technologies, we thought it would be helpful to share insights directly from our data scientists.

Chi ShuThis week I spent some time with Chi Shu, a 5-year veteran in the data science and advanced analytics space with experience across both the public and private sectors. Prior to joining Ironside, Chi worked as a marketing analyst evaluating performance through segmentation and direct marketing models and as a government analyst using business analytics platforms to make critical metrics available to key stakeholders. Chi is one of our brightest programming minds with extensive knowledge of systems such as MATLAB, Python, R, SAS, and SPSS. Her top priority in any engagement is to consistently deliver personalized, relevant results that unlock an organization’s true potential. Read more

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Industry Case Study: Powering Admissions Strategy for Higher Education

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Ironside’s client, a leading New England technical institute, wanted to get predictive with their admissions strategy, leveraging advanced analytics to generate projections that would have measurable impacts on the number of successful students continuing on past their freshman year. They also wanted these projections to integrate seamlessly with the admissions process, providing counselors with actionable guidance and standards for admittance. Read more

Interview with Pam Askar, Ironside Data Scientist

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 How Data Scientists Find Order in Chaos

To help you understand Ironside’s philosophy on advanced analytics, data science, and predictive/prescriptive technologies, we thought it would be helpful to share insights directly from our data scientists.

Pam Askar BWThis week I spoke with Pam Askar, who has over 10 years of quantitative research and predictive modeling experience and holds a PhD in Developmental Psychology from UConn. She worked in academia and the private sector as a psychology professor and a data modeler for a pharmaceutical market research firm before joining Ironside. This makes Pam uniquely qualified to both implement analysis strategies for clients and teach solutions in ways that ensure success. Regardless of the project, Pam’s deepest source of enjoyment is always the same: finding powerful solutions to complex problems that provide actionable business results. Read more

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Advanced Features of IBM SPSS Modeler Text Analytics

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Earlier this year, we published a newsletter article scratching the surface of the Text Analytics Premium add-on for IBM SPSS Modeler. It introduced the fundamentals of text analytics and the idea of extracting information from unstructured text data. In this follow-up article, we will dive more deeply into some of the more advanced topics to fully leverage the add-on’s functionalities. Read more

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The Business Intelligence Maturity Model

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Much has been written recently about the value of transforming data into useful information for decision making. It has become a strategic must-have for organizations to figure out how to use the structured historical data they already own, make sense of the ever-expanding amount of unstructured social media data out there, and implement the appropriate analytics platform to use these assets to their fullest extent through developing business intelligence maturity. Read more

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Using Predictive Analytics to Assist in Managing Higher Education

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There has been a lot of less-than-positive press in headlines recently about the Higher Education market as a whole. In fact, these types of articles seem increasingly easy to find these days. Please feel free to follow the links provided below to view a few articles that illustrate this point. Read more

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Introduction to Predictive Modeling

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Predictive Analytics 101

Business intelligence focuses on the identification and understanding of events that happened in the past; that is “what’s happened?” and “why has it happened?” Business imperatives and other constraints are increasingly driving organizations to look forward and use their data to ensure decisions that are being made today will lead to wins in the future. Predictive analytics has often been viewed with hesitation and intimidation and seen as only relevant to statistical specialists, but with the advent and evolution of the IBM SPSS solutions, the power of predictive analytics can be harnessed by a much broader group of users. This newsletter article describes what predictive analytics is, how it is used, when it is used, and how to integrate it into your organization. Read more

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Predictive Analytics with IBM SPSS

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SPSS Predictive AnalyticsIBM Business Analytics software is designed to deliver complete, insightful, and accurate information for decision makers to make more effective decisions. As part of this portfolio, IBM SPSS Predictive Analytics software specializes in predictive analytics which organizations can rely on to predict future outcomes based on patterns found in historical data. Organizations in almost all industries of every size can benefit from the IBM SPSS technology to provide clear and actionable insight into current performance as well as use the information to drive better outcomes for future business. While Business Intelligence can help to monitor the current and past performance of the business operation, Predictive Analytics can answer questions on why the business is performing in a certain manner and how it can be improved in the future. Read more