Built from real enterprise experience.
Signal + is shaped by hands-on work across financial services, technology, consumer goods, and hospitality. That perspective is what lets us design solutions that survive real-world complexity, stakeholder alignment, governance, and scale.
- Hospitality & TravelGlobal cruise lineOwning revenue budgeting and forecasting processes for brand leadership, enhancing core financial reporting tools, and partnering with finance and data engineering to translate business requirements into scalable data models, standardized metrics, and dashboards that support pricing, planning, and forecasting decisions.
- Spirits & WineGlobal consumer goodsDefining commercial performance and analytics strategy across eCommerce channels, scaling a large consumer data platform for segmentation and personalization, and building executive reporting that aligns marketing investment, supply visibility, and forecasting across marketplaces, key accounts, and independent retailers.
- Confectionery & Pet CareGlobal consumer goodsPartnering with commercial and category teams to shape analytics, reporting, and forecasting across confectionery and pet care portfolios — connecting consumer, retailer, and supply data into shared metrics that support brand growth, channel performance, and planning decisions at global scale.
- Global BeveragesConsumer goods & B2B eCommerceLeading revenue and growth analytics for a B2B eCommerce platform across hundreds of thousands of customer accounts — including recommendation logic, retention programs, and forecasting models aligned with pricing, promotions, and go-to-market strategy.
- Enterprise TechnologyGlobal technologyDelivering full CRM and sales funnel visibility across global markets, standardizing performance tracking for enterprise sales teams, and producing executive reporting used in quarterly business reviews to prioritize markets, accounts, and commercial initiatives.
- Financial ServicesGlobal bankingAnalyzing account performance to refine debt collection strategy and designing a predictive machine learning model to reduce delinquency — early exposure to reporting environments where governance, audit trails, and metric integrity are non-negotiable.
Why this matters for your business.
Reporting breaks down at scale for predictable reasons: incompatible definitions, brittle pipelines, dashboards no one trusts, and processes that depend on a few people knowing how things work.
We have seen those failure modes from the inside, in some of the most demanding environments in the world. That perspective shapes every recommendation we make — from how we name a metric to how we architect a connector framework.
The result: analytics systems that hold up under audit, scale across teams, and stay reliable long after we hand them off.