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From developing custom AI tools to deploying technologies for clients, when it comes to AI, data readiness is critical. The tools are only as effective as the data powering them. When data streams are spread across incompatible systems, unstructured across various file types, missing key fields, not governed or validates, the tools ultimately fail. Using a combination of practices — from data cleansing and standardization to automation — we help firms implement an effective AI strategy to deliver model-ready outputs.

Another challenge when developing and deploying AI tools is siloed or disconnected data. Firms not only need quality data, but they need their systems to be in conversation, especially when developing process improvement, automation, compliance and insight-driven tools. When datasets are spread across CRMs, billing and project management tools, shared drives and industry-specific applications, it becomes increasingly difficult to ensure AI tools have all the information needed to function properly. We help create unified, integrated data foundations — including API integration, data normalization, cloud hosting and data transport pipelines — to ensure AI tools receive complete, accurate and connected data.

“The Big Data team was responsive, flexible and creative in delivering a highly customized solution to meet our needs.”

Calin B.

Co-Founder & COO, Mothership Energy

“Big Data has transformed the way we manage information, empowering us with faster insights, cleaner data and tools that enable us to focus more on high-value activities rather than repetitive tasks.”

Drew L.

CEO, D&L Oilfield Supply

“When switching our cloud hosting, Big Data stepped in as a strategic partner. We saw cost savings almost immediately — more than 50 percent — and they helped us uncover efficiencies and even identify new revenue opportunities based on how our data flows. It’s rare to find a group that saves you money and helps you make more of it.”

David M.

CEO, Professional Services Industry