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Enterprise Layer Intelligence
Categories/Data Integration and Management/Lume
Lume

Lume

Automate customer integrations with AI. Connect

Pricing model

Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Lume to automate customer integrations by connecting to their ERPs, databases, and APIs. It automatically discovers schemas and relationships, uses AI to map and validate customer data against your schema, then generates production-ready dbt code for transformations. You can collaborate with customers through shared workspaces to review mappings and approve data definitions. The tool handles complex legacy systems like Oracle and SAP, normalizes messy data formats, and deploys directly to your data warehouse with built-in data quality validation.

What Lume does

Connect to customer Oracle, SAP or custom database systemsMap customer data fields to your standardized schemaGenerate dbt transformation code from mapping specificationsValidate data quality and detect anomalies automaticallyDeploy data transformations directly to Snowflake or other warehousesCollaborate with customers on data definitions and approvalsTrack integration project progress and milestonesNormalize diverse customer data formats into consistent structureAutomatically discovers schemas and table relationshipsAI suggests intelligent field mappings to your data modelGenerates production-ready dbt transformation codeConnects to legacy ERPs like Oracle and SAPCustomer collaboration workspace for approvalsReal-time data quality validation and anomaly detectionHandles complex joins and nested data structuresDirect deployment to data warehouses

Pricing breakdown

Pricing model: Paid

PlanList price
BusinessBook a demo
EnterpriseBook a demo

Tutorials & Demos

Frequently asked

OracleOracleSalesforceSalesforceSnowflakeSnowflakedbtdbtSlackSlack

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Lume, data integration, customer onboarding, ERP integration, schema mapping, dbt code generation, data transformation, Oracle, SAP, Salesforce, NetSuite, data warehouse, customer collaboration, legacy systems, data quality validation, automated mapping