Warehousing, pipelines, and executive reporting built on a foundation that's accurate and current - the infrastructure behind the dashboards and predictions everyone else assumes just works.
Every BI dashboard and predictive model is only as good as the data underneath it. Advatech's Data & Analytics practice builds that foundation: warehousing, pipelines, and data engineering that keep your numbers trustworthy at the source.
This is the infrastructure layer - for AI-augmented dashboards and forecasting themselves, see our dedicated Business Intelligence and Predictive Analytics practices, both built on top of the data foundation this practice delivers.
Centralized, structured storage for your organization's data, designed for reliable reporting at scale.
Scalable storage for structured and unstructured data, ready for analytics and AI workloads.
Pipelines that move, clean, and transform data reliably from source systems into usable form.
Operational and executive dashboards built on Power BI, Tableau, or your platform of choice.
Recurring reporting built around the metrics leadership actually needs, delivered on schedule.
Implementation, data modeling, and administration of Power BI across your organization.
Implementation and dashboard development on Tableau for organizations standardized on it.
Defined ownership and quality controls so the numbers in every report are ones you can trust.
Existing data sources, quality, and reporting pain points assessed.
Warehousing and pipelines built to centralize and clean your data.
Dashboards and executive reporting built on top of the trusted data foundation.
Ownership and quality controls established to keep data trustworthy going forward.
Data & Analytics builds the underlying warehousing, pipelines, and data quality foundation; Business Intelligence builds the dashboards and AI-augmented reporting on top of it - many engagements involve both.
Yes - consolidating data from disconnected source systems into a single trustworthy warehouse is a core part of this practice.
Yes - we work with whichever platform your organization has standardized on, or help you choose if you haven't yet.
Defined data ownership, validation rules, and monitoring are part of the deliverable, not left to chance after go-live.