Do I need to have a data team in place before working with BEEM?
No. Our Advanced Data Services team works as an extension of your existing staff, so you don't need to hire data engineers, analysts, or scientists before getting started. We bring the full range of technical expertise you need, from cloud architects to BI specialists to data scientists. Many of our clients come to us precisely so they don't have to build an internal data team from scratch.
What industries does your team have experience working in?
We've worked across a wide range of industries including construction, finance and accounting, real estate, e-commerce, healthcare, and manufacturing. Our team understands that each industry has its own systems, terminology, and reporting needs. That experience means we can get up to speed on your business faster and avoid the learning curve that slows down other engagements.
What happens if our system doesn't have an existing connector?
We build custom API connectors all the time. Our engineers are used to working with niche platforms and legacy systems that weren't designed with modern integrations in mind. When needed, we work directly with your software providers to find ways to extract data, even from systems that other vendors have said "can't be done." If your data exists somewhere, we can usually find a way to get it out.
How long does it take to see results?
We focus on delivering value quickly, often within the first few weeks of an engagement. For BI dashboards, you can typically have working reports within 2 to 4 weeks depending on complexity. Custom connectors usually take a few days to a couple of weeks. AI and machine learning projects that would traditionally take a year with other firms can often be deployed in one to three months with our team.
What BI tools does your team work with?
We work with the major platforms including Power BI, Tableau, and Looker, and we also build dashboards directly within the BEEM platform. We'll recommend the best fit based on your existing tech stack, your team's familiarity with different tools, and your specific reporting needs. If you already have a BI tool in place, we can work with it.
Do we need a lot of historical data to use AI solutions?
It depends on the use case. Some AI applications like document processing or chatbots can work with minimal historical data. Predictive models for forecasting or risk analysis typically perform better with more historical records, but we can assess what you have and let you know what's realistic. Our team will be upfront about whether your data is ready for a particular AI application or if we need to focus on data collection first.
Who maintains the AI models and dashboards after they're deployed?
We do. Our managed services approach means we don't just build something and hand it off. We provide ongoing monitoring, maintenance, and optimization for everything we deploy. That includes keeping your data pipelines running smoothly, updating dashboards as your needs change, and retraining AI models when performance starts to drift. You're never left on your own after go-live.
How does pricing work for Advanced Data Services?
Our Advanced Data Services are priced through packages of hours billed at an hourly rate. This gives you flexibility to use our team's expertise where you need it most, whether that's building dashboards, creating custom connectors, or deploying AI solutions. You can scale up or down based on your project needs, and you'll always know exactly what you're paying for. We'll help you estimate how many hours your project will require so there are no surprises.
