On September 24th, Ironside hosted a webinar on Exploring Data Warehouse Strategies. You will hear from our experts on different data warehouse strategies for traditional and emerging solutions. Whether traditional, hybrid, or cloud-based, this webinar will give you insight on finding the best data warehouse option for your business. Read more
Earlier this month, NH1 News put out a report showcasing how the Manchester, NH Police Department is using predictive policing to successfully reduce crime in the city, and Ironside is honored to have played a part in this achievement. Read more
So what’s the best way to learn any new analytics technology? Tell a story. Stats are fun and features are great, but it’s all just talk without context. In this spirit, we’re going to show you some examples of how location intelligence can be an ideal platform for out-of-the-box thinking in real-world settings.
Just to set the stage, let’s start with a quick, easy description around what location intelligence is and what it does. At its heart, location intelligence is all about enabling you to see internal and external data relevant to your business visualized in the real world. Using these intuitive displays, you can see what’s impacting your current state, plot future trends, and define clear actions to move your organization forward. Read more
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
Ironside is happy to announce that we have partnered with Pitney Bowes, one of the top location intelligence and data providers, to transform how our clients see, interact with, and gain insight from the location and business information to which they have access. The Pitney Bowes partnership pairs their sophisticated location intelligence technologies and comprehensive, diverse data sets with Ironside’s unrivaled analytics expertise and technical know-how to bring to market solutions that give geographic context to organizations’ historical data, provide actionable location-based intelligence in real time, and even map future trends using variables relevant to the area displayed. Read more
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
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