How Momentous Achieved Near-Real-Time Insights with an AI-Ready Data Foundation

Momentous is a science-driven direct-to-consumer nutrition brand operating across a growing product catalog with both subscription and one-time purchase models. The business evaluates performance across Finance, Marketing, Operations, and Ecommerce teams.

The underlying problem was compounded by operational complexity:

• Fragmented data sources - Data was fragmented across Shopify, subscription platforms, marketing tools, 3PL/fulfillment systems, and manual COGS spreadsheets.

• Catalog complexity - Bundles, variants, promotions, and frequent SKU changes created reporting ambiguity.

• Inconsistent definitions - Revenue, margin, and cohort metrics were defined differently across teams.

• Lack of data governance framework - No standardized data model, identifiers, or governance process existed to maintain consistent, trusted reporting across systems.

Saras Analytics partnered with Momentous to create a single, trusted analytics foundation that unified all critical business data and made it immediately usable for decision-making.

• Consolidated Shopify orders, subscription data, marketing performance, 3PL/fulfillment data, and cost spreadsheets into one governed data environment

• Standardized product and SKU definitions using global identifiers to remove catalog ambiguity

• Automated daily refreshes with data quality monitoring to eliminate manual reporting

• Implemented certified metrics (revenue, margin, cohorts) through a shared semantic layer

• Delivered executive dashboards for channel performance, subscription vs OTP insights, and growth trends

• Enabled cohort analytics and an attribution input layer to connect marketing activity to outcomes

• Designed the foundation to support future use cases like contribution-margin and SKU-level profitability

• Time-to-Insight improved from manual reporting cycles to near-real-time refreshes.

• Teams aligned on shared datasets and consistent metric definitions.

• Analytics adoption expanded across business functions with improved self-service access.

• Leadership gained clearer visibility into business performance and growth drivers.

• The foundation positioned the business for future margin optimization initiatives.
  ‍

Why Download the Full Case Study

Download the full case study to see:

• How a real e-commerce organization consolidated fragmented data across commerce, subscriptions, marketing, and fulfillment into a governed warehouse foundation.

• What a production-grade data foundation looks like in practice, including how metrics, business logic, and semantic layers are standardized and maintained.

• How master SKU governance resolves bundle and variant complexity without introducing reporting drift.

• How near-real-time data refresh enables faster business visibility without rebuilding internal systems.

• How a scalable foundation can support contribution margin and profitability initiatives as the business grows.

‍

If your organization is challenged by fragmented analytics, inconsistent definitions, or slow reporting cycles, this case study provides a concrete reference for what a durable analytics foundation looks like in a real operating environment.

‍