FAQ

Yes. We specialize in helping organizations identify where AI adds value, whether it is automating reporting, surfacing key metrics, or streamlining operations. We start by assessing your data readiness and defining clear, low-friction use cases, then build scalable foundations to support more advanced AI solutions over time.

Absolutely. We design interfaces, dashboards, and workflows for business users minimizing complexity while maximizing clarity. Training and onboarding are always part of our delivery process.

We do both. Many clients come to us unsure what to measure. We help define high-impact metrics aligned with your goals, then build dashboards that surface those insights with clarity and consistency.

These layers ensure that data transformations are traceable, governed, and scalable. They make analytics pipelines more reliable by separating ingestion, processing, and consumption.

We automate data ingestion, transformation, validation, metric generation, reporting workflows, and access provisioning across domains like HR, finance, clinical systems, and more.

We build directly in your environment. Whether it is AWS or Azure, we ensure full control, visibility, and ownership remains with you.

L2 Insights partners with organizations to design modern data architectures, unify systems across domains, and automate analytics pipelines. Our focus is on reducing complexity and accelerating insight delivery.

Yes. We specialize in mapping, cleansing, and integrating data from siloed systems. Before any dashboards or AI models are built, we make sure your foundational data is trustworthy and consistent.

Mapping tables translate source system values into standard definitions, ensuring consistency in reporting and analytics. They are crucial in multi-system environments with diverse naming conventions.

Unity Catalog standardizes governance across Databricks workspaces. It enables access control, centralized auditing, and better collaboration across teams and domains.

Governance is typically co-managed. L2 defines the structure and standards, while internal stakeholders enforce policy and manage access as part of the shared operating model.

Most organizations can establish a foundational cloud data warehouse in 4 to 8 weeks. Timelines depend on data volume, system complexity, integration needs, and internal responsiveness. L2 typically starts with core ingestion and governance setup, then incrementally builds out pipelines, reporting layers, and AI readiness based on business priorities.

No. While we have a strong track record and deep expertise in healthcare, our solutions apply across industries. We've solved operational workflow problems relevant to anyone using the platforms we support. Healthcare is a sweet spot, not a limitation.

Yes, we regularly integrate with third-party systems beyond our core platforms. If we have not worked with a system before, we can still support it, but we may not have pre-built accelerators or templates. Our team will assess and tailor integration efforts accordingly.

We replace fragmented or manual reporting tools with scalable, governed platforms like Databricks supporting both real-time and batch processing, embedded BI, and AI/ML integration.

We offer different pricing models based on how involved you want us to be. If it's a build-and-handoff engagement, we typically charge a one-time project fee. If you'd like our team to maintain and support the system long-term, we offer a subscription-based model. This flexibility allows us to align with your operational and financial needs.

Yes. Whether it is a one-time build or ongoing subscription, all deliverables are fully yours. If we are not maintaining it, we provide documentation and training to ensure your team can support it confidently.

We help define ROI metrics from the start like time saved, errors reduced, or reporting lag eliminated. Our dashboards and KPI views are built to track these benefits in real-time.

Yes. L2 offers fractional and project-based support models that provide access to senior-level expertise without the cost of full-time headcount. We can manage everything from architecture to execution, acting as your on-demand data team.