There’s a widening gap between data and actionability most companies face as they try to innovate and automate operations. In order to be effective and actually use all the data you regularly stockpile — whether in siloed systems or in a streamlined, singular platform — you need a team with predictive analytics expertise. But how many people? What kinds of skills? What if you need to scale up certain efforts while being flexible with others?
You need a team that brings not only years of relevant industry experience but also diverse, proficient predictive analytics skills specific to your everyday systems. Building the team you need can be incredibly time-consuming and tends to be prohibitively expensive for most businesses — not to mention distracting for existing teams focused on other essential priorities. That’s where predictive analytics outsourcing can help you get started quickly and improve outcomes without the added overhead and months of trying to hire and ramp up a team internally.
We don’t simply set the table for you; at Atrium, we provide a team that gets in there with meal planning, gathering ingredients, prepping, serving, and even doing the dishes (so to speak) — keeping track of granular details while also focusing on the big picture of progress for you and the business. This entails strategy, data engineering, data science, last-mile app development or analytics, model monitoring, and more.
While other outsourcing vendors may provide technologists focused on individual systems, we bring together a curated group of predictive analytics experts unique to your business, use cases, and goals for the long term. As a true partner to you on your managed services journey, we also put your technical needs into the context of the business.
The right predictive analytics partner helps you do much more than just manage. We’ll optimize, monitor, and enhance your business predictability with a personalized approach aimed at helping you realize the full value of your data, analytics, and technology investment.
Models are only as good as the results they deliver (and to the right users). We help you connect models to design and, better yet, to action.
We help identify where and how data science can address business optimization and orchestrate turning that plan into a reality.
The exploratory data analysis process is designed to find patterns in your business’s data, giving you insights you wouldn’t otherwise have.
More than just statistical monitoring to identify when models need to be serviced — we monitor the business KPI impact that measures value.
Get aligned with the right processes and the technology that enables them — prioritizing a repeatable, scalable path to continued success.
Changes in your data patterns reflect internal and external changes to business conditions. Model data drift analysis can help you stay informed.
Your data should be able to deliver personalized insights that drive growth, increase revenue, and boost customer satisfaction in the process.
We can help you get beyond manual data collection and reactive processes. Let us help you reap the benefits of actionable, automated data analytics and AI with data strategy specific to your business.
Get access to the insights and solutions you need without having to hire a full-fledged data science team internally, allowing for more diverse competencies and flexibility.
We can help you go from complicated, manual reporting and guesswork to automated recommendations, predictive capabilities, and insights that grow and update at the speed of your business.