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Intelligence

Business Intelligence Platforms for businesses across the Midwest and Great Lakes

Looker, Tableau, Power BI, and warehouse modeling for teams that need to actually answer questions. Headquartered in Northern Indiana, serving Indiana, Illinois, Ohio, Michigan, Wisconsin, Minnesota, Missouri, New York, Pennsylvania.

What we do

Most the Midwest and Great Lakes mid-market companies have 6-10 SaaS systems generating data and zero unified view. We build BI stacks — warehouse + transformation layer + dashboarding tool — so your CFO, ops lead, and marketing director are all looking at the same numbers. We pick the tool to fit your team, not the team to fit the tool.

  • Warehouse selection and setup (BigQuery, Snowflake, Postgres)
  • ETL pipelines via Fivetran, Airbyte, or custom builds
  • dbt models for repeatable, version-controlled transformations
  • Dashboard builds in Looker Studio, Tableau, Power BI, or Metabase
  • Executive scorecards and exec-team weekly KPI deck automation
  • Self-serve analytics enablement and team training

BI pages by city

Every city we serve has a dedicated page with local context, industries, and FAQs.

Indiana

BI in South Bend, IN

Higher education (Notre Dame, Saint Mary's, IUSB) · Healthcare and medical research

BI in Warsaw, IN

Orthopedic medical devices · Engineering and contract manufacturing

BI in Syracuse, IN

Marine services and boat sales · Vacation rentals and property services

BI in Granger, IN

Residential services (landscaping, HVAC, remodeling) · Healthcare and dental

Illinois

Ohio

BI in Cleveland, OH

Healthcare (Cleveland Clinic, UH, MetroHealth) · Manufacturing and steel

BI in Toledo, OH

Glass manufacturing (Owens-Illinois, Owens Corning) · Automotive (Jeep, automotive supply)

BI in Akron, OH

Rubber and polymers (Goodyear, Bridgestone) · Healthcare (Summa, Akron General)

BI in Dayton, OH

Aerospace and defense (Wright-Patt AFB) · Advanced manufacturing

Michigan

BI in Detroit, MI

Automotive OEMs (Ford, GM, Stellantis) · Mobility and EV technology

BI in Ann Arbor, MI

Higher education and research (University of Michigan) · Healthcare (Michigan Medicine)

Wisconsin

BI in Milwaukee, WI

Manufacturing (Harley-Davidson, Rockwell Automation) · Financial services (Northwestern Mutual)

BI in Green Bay, WI

Paper and packaging (P&G, Georgia-Pacific) · Food production (Schreiber Foods, dairy)

Minnesota

BI in Minneapolis, MN

Retail headquarters (Target, Best Buy) · Financial services (U.S. Bank, Ameriprise)

Missouri

BI in St. Louis, MO

Healthcare and biotech (BJC, Centene, Express Scripts) · Financial services (Edward Jones, Stifel)

New York

BI in Rochester, NY

Optics, photonics, and imaging (Kodak, Bausch + Lomb) · Higher education and healthcare (University of Rochester, URMC)

Pennsylvania

BI in Pittsburgh, PA

Healthcare (UPMC, Allegheny Health Network) · Robotics and AI (CMU spinouts)

BI in Erie, PA

Insurance (Erie Insurance) · Locomotive and transportation manufacturing (Wabtec)

Frequently asked questions

How is this different from analytics?

Analytics is mostly digital marketing data and customer behavior. BI pulls in finance, operations, sales, and customer data to answer business-wide questions. Same warehouse philosophy, broader scope.

Which BI tool should we use?

Looker Studio is free and works well for most the Midwest and Great Lakes small businesses. Power BI fits Microsoft-heavy shops. Tableau is the gold standard but the licensing adds up. Metabase is a great open-source middle ground. We'll recommend based on your team and budget.

Do we need a data engineer on staff?

Not necessarily. With Fivetran/Airbyte for extraction and dbt for transformation, most mid-market companies can run BI with a part-time analyst. We design for that reality.

How long does a BI build take?

First useful dashboards typically ship in 6-8 weeks. Full multi-source warehouse with governed metrics is a 4-6 month engagement.

Will the BI platform integrate with our current systems?

Almost certainly — Salesforce, HubSpot, NetSuite, QuickBooks, Shopify, Stripe, and most major SaaS tools have well-supported connectors. Edge-case sources we handle with custom Python jobs.

What does ongoing BI support look like?

Monthly engagements typically cover dashboard updates, new data-source integration, and model maintenance. We also train an in-house owner so you're not dependent on us forever.