31 Solutions on One Shared Model

Start with a single solution and add others against the same model. Each one deploys in days.

Choral solution library

Industries

Sector-specific metrics and question sets

Retail & consumer

Financial & services

Industry & infrastructure

Health & public sector

Business functions

Cross-functional solutions that apply in any sector

Growth

Technology & operations

Enabling

Environment

Retail & consumer

Restaurants (QSR)

Set prices and read restaurant performance with the brand, restaurant by restaurant.

Questions it answers on day one

  • How is each restaurant performing on sales, guests and average check?
  • Where do our prices sit against the rivals nearest each restaurant?
  • What should we change on the menu, and what is it worth?
  • Did the last price change do what we expected?

Typical sources

Point of sale, menu and recipe files, competitor pricing, demographics, weather

See it on your own data

Retail & consumer

Grocery retail

Read the basket, the shelf and the store in one place.

Questions it answers on day one

  • Which categories and stores are carrying growth, and which are drifting?
  • How is promotion and markdown spend converting into margin?
  • Where is availability costing us sales?

Typical sources

Point of sale, loyalty, inventory, supplier and promotion files

See it on your own data

Retail & consumer

Consumer goods

See the brand through to the shelf, by retailer and by region.

Questions it answers on day one

  • How is each brand and pack performing by retailer?
  • What is trade spend actually returning?
  • Where is distribution thinner than the plan assumed?

Typical sources

Shipments, syndicated retail measurement, trade promotion, pricing

See it on your own data

Financial & services

Banking

Read the book, the branch and the customer relationship together.

Questions it answers on day one

  • Where is deposit and lending growth coming from?
  • How is credit quality moving across segments?
  • Which relationships are worth more than their current product set?

Typical sources

Core banking, loan origination, card, branch and digital channel data

See it on your own data

Financial & services

Private equity

See the whole portfolio on one set of definitions.

Questions it answers on day one

  • How is each company tracking against its plan?
  • Which value-creation levers are actually moving?
  • Where is the next dollar of growth in the portfolio?

Typical sources

Portfolio company reporting, deal models, market and benchmark data

See it on your own data

Financial & services

Staffing

Read demand, fill and margin across every desk.

Questions it answers on day one

  • Where is placement demand building, by skill and geography?
  • How is fill rate and time to fill trending by desk?
  • Which contracts are earning their margin?

Typical sources

Applicant tracking, timesheets, billing, job board and market pay data

See it on your own data

Industry & infrastructure

Automotive

Follow the vehicle from plant to dealer to owner.

Questions it answers on day one

  • How is model and trim demand moving by region?
  • Where is warranty and quality cost concentrating?
  • How is dealer inventory aging against the plan?

Typical sources

Production, dealer management, warranty claims, registrations, parts

See it on your own data

Industry & infrastructure

Shipping & logistics

See cost, service and capacity on the same screen.

Questions it answers on day one

  • What is cost to serve by lane, customer and mode?
  • Where is on-time performance slipping, and why?
  • Where is capacity tight against committed volume?

Typical sources

Transport management, warehouse management, telematics, carrier rates

See it on your own data

Industry & infrastructure

Electric utility

Read load, asset health and service together.

Questions it answers on day one

  • How is load shaping by feeder and by season?
  • Which assets are carrying the most risk of failure?
  • Where is outage duration driving customer impact?

Typical sources

Meter and SCADA data, asset registers, outage management, weather

See it on your own data

Health & public sector

Hospitals

Read capacity, cost and outcomes as one picture.

Questions it answers on day one

  • Where is capacity constrained across the care pathway?
  • How is cost per case moving by service line?
  • Which outcome and readmission measures are drifting?

Typical sources

Electronic health records, scheduling, supply chain, cost accounting

See it on your own data

Health & public sector

City government

Read service delivery and spend across departments.

Questions it answers on day one

  • How is each service performing against its commitment?
  • Where is the budget tracking ahead of or behind plan?
  • Which neighborhoods are underserved relative to need?

Typical sources

Finance and budget systems, 311 and case management, permits, census

See it on your own data

Growth

Customers

One view of who your customers are and what they are worth.

Questions it answers on day one

  • Which segments are growing, and which are quietly shrinking?
  • What is a customer worth over their lifetime with us?
  • Where is churn risk building before it shows in revenue?

Typical sources

CRM, billing, support and transaction history

See it on your own data

Growth

Sales

Read pipeline, conversion and quota on one set of numbers.

Questions it answers on day one

  • Which parts of the pipeline will actually close?
  • Where is conversion breaking down in the cycle?
  • How is performance distributed across the team?

Typical sources

CRM, order and quoting systems, quota and territory plans

See it on your own data

Growth

Products

See profitability and demand at the product level.

Questions it answers on day one

  • Which products carry the margin, and which carry the volume?
  • Where is the mix shifting against us?
  • Which launches are tracking ahead of their case?

Typical sources

Order lines, cost of goods, product master, pricing

See it on your own data

Growth

Channels

Compare channels on cost, growth and quality of revenue.

Questions it answers on day one

  • Which channels are growing profitably?
  • Where does cost to serve outrun the revenue it brings?
  • How is channel conflict showing up in the numbers?

Typical sources

Order, partner, e-commerce and point of sale data

See it on your own data

Growth

Marketing

Connect spend to pipeline and to revenue.

Questions it answers on day one

  • What is each campaign and channel returning?
  • Where is spend producing volume but not quality?
  • How long does it take spend to turn into revenue?

Typical sources

Ad platforms, marketing automation, web analytics, CRM

See it on your own data

Technology & operations

IT

Read the estate, its cost and its reliability in one place.

Questions it answers on day one

  • Where is technology spend concentrated, and against what?
  • Which services carry the most risk of failure?
  • How is the estate tracking against the modernization plan?

Typical sources

Asset and configuration management, cloud billing, incident data

See it on your own data

Technology & operations

Data & AI

See what data you hold, how it is used and what it is worth.

Questions it answers on day one

  • Which data assets are actually being used, and by whom?
  • Where is data quality holding decisions back?
  • Which AI use cases are returning more than they cost?

Typical sources

Catalogs, lineage, pipeline logs, model and usage telemetry

See it on your own data

Technology & operations

Cybersecurity

Read exposure across the estate, not control by control.

Questions it answers on day one

  • Where is exposure concentrated across systems and vendors?
  • How quickly are the issues that matter getting closed?
  • Which controls are carrying the most of the risk?

Typical sources

Vulnerability scanners, identity systems, endpoint and SIEM data

See it on your own data

Technology & operations

Operations

Read throughput, cost and quality as one measure.

Questions it answers on day one

  • Where is throughput constrained today?
  • Which cost variances have a process behind them?
  • How is quality moving across sites and shifts?

Typical sources

ERP, manufacturing execution, quality and maintenance systems

See it on your own data

Technology & operations

Projects

See the portfolio on one definition of progress.

Questions it answers on day one

  • Which projects are tracking to their committed dates?
  • Where is spend running ahead of delivered value?
  • Which dependencies put the rest of the portfolio at risk?

Typical sources

Project and portfolio management, finance, resourcing systems

See it on your own data

Technology & operations

Suppliers

Read spend, performance and concentration together.

Questions it answers on day one

  • Where is spend concentrated, and how exposed does that leave us?
  • Which suppliers are performing against their terms?
  • Where is there room to consolidate without adding risk?

Typical sources

Purchase orders, invoices, contracts, supplier scorecards

See it on your own data

Technology & operations

Facilities

Read utilization and cost across the property estate.

Questions it answers on day one

  • How is space actually being used against what it costs?
  • Where is maintenance spend signaling a bigger issue?
  • Which sites are carrying cost the portfolio does not need?

Typical sources

Lease and property systems, badge and occupancy data, energy, work orders

See it on your own data

Enabling

Financials

One set of numbers the whole management team can work from.

Questions it answers on day one

  • How is performance tracking against plan and forecast?
  • Which variances matter, and what sits behind them?
  • Where is cash building or draining?

Typical sources

General ledger, sub-ledgers, planning and consolidation systems

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Enabling

HR

Read the workforce as a capability, not a headcount.

Questions it answers on day one

  • Where are the skills the strategy actually needs?
  • Where is attrition concentrating, and at what cost?
  • How is pay positioned against the market?

Typical sources

HRIS, payroll, recruiting, learning and survey data

See it on your own data

Enabling

Risk

See credit, operational and strategic exposure in one place.

Questions it answers on day one

  • What exposure are we carrying, and where?
  • Which risks are moving fastest?
  • Where are controls thinner than the exposure behind them?

Typical sources

Risk registers, loss events, credit and exposure systems

See it on your own data

Enabling

Regulatory

Read obligations, evidence and reporting together.

Questions it answers on day one

  • Which obligations apply to which parts of the business?
  • Where is evidence incomplete ahead of an examination?
  • How much effort is each reporting cycle actually costing?

Typical sources

Policy and obligation registers, control testing, filings

See it on your own data

Enabling

Financial crimes

Read alerts, cases and outcomes as one picture.

Questions it answers on day one

  • Which alerts are producing real cases?
  • Where are investigation backlogs building?
  • Which typologies are moving in our book?

Typical sources

Transaction monitoring, case management, screening, KYC records

See it on your own data

Environment

Competitors

Track the rivals that affect the decisions you are making.

Questions it answers on day one

  • Where are competitors pricing against us, and in which markets?
  • How is share moving in the categories we care about?
  • What are they signaling about where they will go next?

Typical sources

Pricing feeds, public filings, job postings, review and location data

See it on your own data

Environment

Economy

Put the outside world next to your own numbers.

Questions it answers on day one

  • Which economic conditions actually move our demand?
  • How do input costs ahead of us look?
  • What does the outlook mean for the plan we committed to?

Typical sources

Official statistics, commodity and labor indices, demographic data

See it on your own data

Environment

Financial markets

Read market conditions against your own position.

Questions it answers on day one

  • How is the market pricing our sector against us?
  • What are rates and currencies doing to the plan?
  • Where does the market see risk that we do not?

Typical sources

Market data feeds, peer filings, analyst estimates, rates and FX

See it on your own data