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    Data, AI & Analytics

    Data Warehouse & Pipeline Setup

    One clean, historical home for all your business data, refreshed automatically.

    Data, AI & Analytics BigQuerySnowflakeAzure SynapseFivetran
    Overview

    What Data Warehouse & Pipeline Setup includes

    A modern data stack that extracts data from your business systems, loads it into a cloud warehouse, and transforms it into clean, documented tables ready for reporting, analysis, and AI. Pipelines refresh on a schedule or in near real time, history is preserved even when source systems overwrite records, and data quality tests catch problems before they reach a dashboard. Your team gets a single source of truth that every report, model, and integration can rely on.

    Who it's for

    • Companies combining data from five or more systems
    • Teams that need historical trend analysis
    • Businesses preparing data for AI and forecasting
    Works with
    • BigQuery
    • Snowflake
    • Azure Synapse
    • Fivetran
    • Airbyte
    • dbt
    • PostgreSQL
    • Power BI

    Using different software? We build around what you already have whenever it makes sense.

    Key features

    What you get

    Automated extraction

    Managed connectors for SaaS apps, databases, and files.

    Cloud warehouse

    BigQuery, Snowflake, or Azure set up and secured.

    Transformation models

    Clean, joined, documented business tables.

    Historical snapshots

    Track how records change over time.

    Data quality tests

    Alerts on missing, duplicate, or unexpected data.

    Access controls

    Permissions and auditing for sensitive data.

    Before and after

    The problems this solves

    Without it

    • Analysts spend most of their time cleaning data
    • Historical data is lost when systems overwrite records
    • Every report pulls data a different way
    • AI projects stall on messy data

    With it

    • Automated extraction
    • Cloud warehouse
    • Transformation models
    • Historical snapshots
    How we deliver it

    From first call to fully running

    1. Free discovery call. We learn how your team works today, what tools you use, and what success looks like.

    2. Scope and flat quote. You get a written scope and one all-in price. Nothing starts until you approve it.

    3. Build and integrate. We configure or build the system and connect it to the tools you already use.

    4. Train and launch. Your team is trained on real scenarios, data is migrated, and we go live together.

    5. Support and improve. We monitor, fix, and keep improving the system as your business grows.

    FAQ

    Data Warehouse & Pipeline Setup questions

    What is a data warehouse?

    A central database optimized for analysis that stores cleaned, combined data from your business systems, including history, so reporting and analytics run from one trusted source.

    Is a data warehouse expensive to run?

    For most small and midsize businesses, cloud warehouse costs are modest because you pay for storage and queries used. We design to keep costs predictable.

    How often is the data refreshed?

    Anywhere from daily to every few minutes, depending on how current the reports need to be and what the source systems allow.