Use Cases
Solutions
Dimension tables are the backbone of every analytics stack. Here's how DimTable solves the reference data problems that every data team faces.
For every company
Universal Solutions
These problems exist at every company, regardless of industry. DimTable gives you pre-built templates and a managed workflow to solve them.
Goals & KPI Definitions
The problem
Goals live in slide decks and spreadsheets. Nobody agrees on definitions, and they never make it into the data warehouse.
The solution
Define goals as structured dimension tables — with owners, target values, time periods, and metric mappings — so they connect directly to your data models.
Team & Org Structure
The problem
Org charts change quarterly but the data warehouse still has last year's structure. Reporting by team or department is always wrong.
The solution
Maintain a living org structure dimension that updates as your company evolves — departments, managers, cost centers, all in one place.
Territory & Region Mapping
The problem
Sales territories are defined in a VP's head. When reps move, nobody updates the mapping. Pipeline reports break.
The solution
A single source of truth for geographic and account territory mappings, with region managers, quota targets, and effective dates.
Product Taxonomy
The problem
Product categories mean different things to Sales, Marketing, and Finance. There's no canonical hierarchy for reporting.
The solution
Define your product taxonomy once — from L1 categories down to SKU groupings — and distribute it to every team's analytics stack.
Customer Segmentation
The problem
Customer tiers and segments are defined differently in every tool. Support uses one definition, Sales uses another, Finance uses a third.
The solution
Centralize tier definitions with ARR thresholds, support levels, and CSM assignments so every report agrees on what 'Enterprise' means.
Fiscal Calendar & Date Logic
The problem
Your fiscal year doesn't match the calendar year, and every analyst builds their own date dimension with slightly different logic.
The solution
A standardized date dimension with fiscal periods, holidays, business days, and quarter boundaries — generated for your specific fiscal calendar.
By industry
Industry Solutions
Every industry has unique reference data challenges. We build templates tailored to your vertical.
Direct-to-Consumer (D2C)
E-commerce brands selling across Shopify, Amazon, wholesale, and retail need consistent product and channel data across all platforms.
SKU Mapping Across Channels
Map every SKU to its parent product, variant, channel listing, and category — so you can report on true product performance regardless of where it sold.
Channel & Marketplace Taxonomy
Define a consistent channel hierarchy (DTC, Wholesale, Amazon, Retail) with sub-channels, fee structures, and margin targets.
Promotion & Campaign Mapping
Track which promotions ran on which channels, with discount types, date ranges, and attribution rules for accurate ROI reporting.
SaaS & Software
Software companies need clean mappings between plans, features, customers, and revenue recognition rules.
Plan & Feature Matrix
Define which features are available in each plan tier, with usage limits, overage rules, and pricing — feeding product analytics and billing.
ARR Segmentation Rules
Standardize how you bucket customers by ARR, define tier thresholds, and map support SLAs — so every board report uses the same definitions.
Funnel Stage Definitions
Agree on what 'MQL', 'SQL', and 'Opportunity' mean across Sales and Marketing, with stage criteria and conversion rules.
Healthcare & Life Sciences
Healthcare organizations need strict, auditable reference data for facilities, providers, procedure codes, and compliance classifications.
Facility & Location Registry
Maintain a canonical list of clinics, hospitals, and care sites with addresses, NPI numbers, service lines, and operating hours.
Provider Taxonomy
Map providers to specialties, credentials, affiliations, and panels for accurate referral tracking and capacity reporting.
Procedure & Code Mapping
Cross-reference CPT, ICD-10, and internal procedure codes so clinical and financial reporting align.
Financial Services
Banks, fintechs, and insurance companies need bulletproof reference data for accounts, products, cost centers, and regulatory classifications.
Chart of Accounts & Cost Centers
Maintain the GL account hierarchy and cost center mappings so every P&L, balance sheet, and budget report ties out.
Product & Instrument Classification
Define your product catalog with asset classes, risk categories, regulatory treatment, and fee structures.
Regulatory & Compliance Tags
Tag entities, accounts, and transactions with compliance classifications (BSA/AML categories, FATCA status, risk ratings).
Retail & Restaurants
Multi-location businesses need consistent store, menu, and staffing data across POS, scheduling, and reporting systems.
Store & Location Attributes
Centralize store metadata — region, format, square footage, opening date, manager — so operations and finance report on the same data.
Menu & Item Taxonomy
Define menu categories, item mappings, ingredient groups, and pricing tiers across all locations and ordering platforms.
Labor & Role Definitions
Standardize job roles, pay bands, certification requirements, and scheduling rules for consistent workforce analytics.
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