Scoop Analytics

Description

Scoop (Scoop Analytics) is an AI performance management platform for distributed businesses such as retail chains, restaurant groups, hotel portfolios, franchise networks, and PE rollups. Rather than being a dashboard or a chat layer, it automatically diagnoses what is happening at every location every reporting cycle, explains why, and delivers a clear, role-specific action plan to each manager. It screens every location against plan, history, and peer benchmarks, flags meaningful deviations, runs full root-cause diagnostics, and tracks whether the recommended actions moved the needle.

Scoop works alongside existing BI tools like Power BI, Tableau, and Looker rather than replacing them, connecting to your data warehouse with read-only credentials and picking up where BI leaves off. It is built on a four-layer architecture: an enterprise context layer that codifies your best operators' tribal knowledge, an analytical orchestration layer that runs best-practice diagnostics, sophisticated analytical tooling beyond simple queries, and an LLM as the intelligence engine. This lets it scale the judgment of a company's best operators across every location and management layer without manual prompting.

Scoop is best suited to organizations with 50 or more locations that share standardized KPIs and have an existing BI stack. Implementation reaches a live pilot in as little as four weeks, driven by structured discovery conversations that capture organizational knowledge. Pricing is tailored to footprint and complexity, with AI inference costs billed separately and controlled through intelligent model routing. Scoop is SOC 2 Type II compliant with strict data separation between client engagements.

Scoop Analytics's Core Features

• Automatic performance diagnosis at every location every cycle

• Role-specific, plain-language action plans for each manager

• Root-cause analysis triggered by detected deviations

• Screening against plan, history, and peer benchmarks

• Codification of best operators' tribal knowledge

• Closed-loop tracking of whether actions moved the needle

• Layers on top of existing BI stacks (Power BI, Tableau, Looker, and 100+ more)

• Read-only data access with SOC 2 Type II certification

How to use Scoop Analytics?

1. 1

   Book a discovery call: Discuss your industry, location footprint, and performance variation to check fit.

2. 2

   Connect your data: Scoop connects to your existing BI-ready data warehouse with read-only credentials.

3. 3

   Codify your knowledge: Capture your best operators' diagnostic logic through structured discovery conversations.

4. 4

   Go live: Reach a pilot in as little as four weeks with automated screening across every location.

5. 5

   Act on the plans: Managers receive action plans each cycle, and Scoop tracks whether the actions worked.

Scoop Analytics's Use Cases

• Multi-location retail
• Restaurant groups
• Hotel portfolios
• Franchise networks
• PE rollups

FAQ from Scoop Analytics

• How is Scoop different from BI tools like Tableau or Domo?

  BI tools show what happened, while Scoop tells you what deserves attention, why it is happening, and what each manager should do, handling the recurring diagnostic workload automatically alongside your BI stack.

• How is it different from ChatGPT or Claude?

  General AI answers questions if you ask the right ones, but Scoop proactively screens every location and delivers governed, repeatable action plans without prompting, built on an enterprise context layer, orchestration, tooling, and an LLM.

• What size business is it for?

  Scoop is best for organizations with 50 or more locations or operating units that share standardized KPIs and have an existing data warehouse or BI stack.

• How long does setup take?

  It can reach a live pilot in as little as four weeks, with data integration typically lighter than expected and most effort spent capturing operator judgment.

• Does it replace my BI tools or team?

  No. Scoop sits on top of your existing BI infrastructure and removes repetitive diagnostic work from your BI team's queue, freeing them for higher-value analysis.

• How is my data kept secure?

  Scoop connects with read-only credentials, never writes to or copies your systems, maintains strict separation between client engagements, and became SOC 2 compliant in 2025.