We’re getting ready for Tableau Conference 2016 here at Ironside. With only a short time left until November 7th, our team is preparing for which parts of the conference they’re most excited to take in. And, more importantly, developing strategies for prioritizing where to spend their time. I got a chance to catch up quick with Crystal Meyers and Katelyn Tolbert, two of our Tableau-certified consultants, to hear what they’re looking forward to and get their perspectives on where people should be focusing at the conference. Read more
Tag Archive for: Interview
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.
This 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
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.
This 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
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.
This 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
Ironside helps companies translate business goals and challenges into technology solutions that enable insightful analysis, data-driven decision making and continued success. We help you structure, integrate and augment your data, while transforming your analytic environment and improving governance.