Self-service master/reference data management with approval workflow, audit, and governance

Manage your master / reference / meta data for your reporting & planning applications. This self-service product complements your Master Data Management (MDM) solution. Requires minimal setup and help from IT. Available for Power BI and supports data residing in Azure SQL, Microsoft Fabric, Data Bricks, Snowflake, Postgres and more.
Reference data
Customer Master
Region Master
Product Master
Material Master
Vendor Master
Employee Master
Inventory Master
GL Account Master
Store Master
Flat tables
Price Lists
Contracts
Project
Subscriptions
Discounts
Claims
Campaigns
Tickets
Watch demo

Key Features

Core Capabilities

Create a table from CSV/EXCEL

Edit table data (both measures and dimensions)

List of values lookup (from dropdown)

Field validation (email, phones etc.)

Setting default values

Field constraints

Bulk Edit

Bulk insert/bulk edit

Find, Search and Replace

Formatting/Themes

Layouts, conditional formatting and themes

Collaboration

Comments, threads, tasks, notifications

Data Integration

Advanced data integration (Webhooks)

Scripting extensions

Approvals

Table-level approval (Admin)

Conditional approval (Measure filter)

Row-level approval (Dimension filter)

Save mode (Persist with flag)

Slowly Changing Dimensions

SCD Type II support

Data Platforms and Storage

Azure SQL, Microsoft Fabric DW, Snowflake, Redshift, Postgres

Security/Governance

Audit/Change Log

Granular user activity permissions

Create table

Add rows

Delete rows

Edit/Replace rows

Field level view/edit permissions (Columnar ACL)

EDITable empowers integrated, real-time and collaborative planning (xP&A)

EDITable ensures that you easily manage master data / reference data supporting your planning applications. Be it products, regions, accounts, cost centers, customers, employees or salaries - keep everything updated to ensure integrity of your plans and forecasts. Supports forward-looking master data that is needed for plans but is not yet created in your tables.
IntegrationsIntegrations

EDITable webinar

EDITable | Meta Data Management
Watch our launch webinar on EDITable, a pioneering no-code live writeback product that empowers business users to create and manage reference data, dimensions, and flat tables.
Watch replay

Writeback Matrix vs EDITable

EDITable provides enhanced capabilities for maintaining flat tables, with support for Type 2 SCD, field-level permissions (columnar ACL) and more. Shown here is a brief comparison of writeback matrix and EDITable. 
Writeback matrix

Writeback
Matrix

Editable

EDITable

StructureMatrix (Pivot table)Tables, Type 2 Slowly Changing Dimensions
Edit/UpdateMeasures and ValuesDimensions and Values
Sample Use casesForecasting, budgetingDimensions, Price list, vendor list
Data ConnectivityImport & Live (Direct query)Live (Direct query) only
OtherSource & destination tables are differentSource & destination tables are same
Writeback Matrix

Writeback
Matrix

Editable

EDITable

Structure

Matrix (Pivot table)Tables, Type 2 Slowly Changing Dimensions

Edit/Update

Measures and ValuesDimensions and Values

Sample Use cases

Forecasting, budgetingDimensions, Price list, vendor list

Data Connectivity

Import & Live (Direct query)Live (Direct query) only

Other

Source & destination tables are differentSource & destination tables are same

PowerApps vs. EDITable

EDITable is designed for business users with a no-code, Excel-like interface. Shown here is a brief comparison of PowerApps and EDITable.

Facet

Writeback matrix

Power Apps

Editable

EDITable

Target PersonaDevelopersBusiness users
Development effortLow codeNo code / Self-service
Time to MarketHigh (weeks)Low (minutes)
User Experience / InterfaceForm-based and must be configured by usecasesExcel-like UX
Database DestinationsBest suited for Dataverse / Dynamics ERPBest suited for data warehouses / data platforms / data bases
Bulk EditsBest suited for single edits (insert/updates/delete)Best suited for bulk insert / updates and single row or single cell edits
WorkflowsApproval workflow has to be coded and complicated to buildComprehensive approval workflow (by name, by rule and by look up)
GovernanceGranular ACL is complicated and cumbersome to setupIntegrated and Granular row column ACL and audit / changelog
PoweApps

Power Apps

Editable

EDITable

Target Persona

DevelopersBusiness users

Development effort

Low codeNo code / Self-service

Time to Market

High (weeks)Low (minutes)

User Experience / Interface

Form-based and must be configured by usecasesExcel-like UX

Database Destinations

Best suited for Dataverse / Dynamics ERPBest suited for data warehouses / data platforms / data bases

Bulk Edits

Best suited for single edits (insert/updates/delete)Best suited for bulk insert / updates and single row or single cell edits

Workflows

Approval workflow has to be coded and complicated to buildComprehensive approval workflow (by name, by rule and by look up)

Governance

Granular ACL is complicated and cumbersome to setupIntegrated and Granular row column ACL and audit / changelog
EDITable by Lumel
EDITable is a no-code table editor that helps business users edit master data / reference data / meta data LIVE directly in their data platforms such as Azure SQL, Microsoft Fabric, Data Bricks, Snowflake, Postgres, and more.
Headquarters
5920 Windhaven Pkwy

Plano TX 75093
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