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For Existing Clients: ETL Related

Source Data Validation

Ensure data accuracy and integrity in Vena by proactively identifying and resolving source data issues before they impact reporting.

Bad data can corrupt financial reports, cause ETL failures, and lead to costly decision-making errors. 

Incomplete or inconsistent data flowing from ERP systems into Vena during ETL processes can lead to unreliable reporting and forecasting errors.

DSCIM solves this challenge by implementing a three-layer data validation approach:

  • Source data validation: detects and flags errors before ETL processing begins.
  • Metadata validation: ensures data structures remain consistent, preventing ETL failures.
  • Cube intersection validation: verifies data consistency within Vena, ensuring accurate reporting.
     

Key Challenges in Data Validation

Even well-established ERP systems can produce inconsistent formats, missing fields, or unexpected schema changes. These issues force manual validation and troubleshooting - slowing ETL workflows and delaying critical data delivery.

Unclean data can cause ETL processes to fail, slow down, or load incorrect data into Vena.

When ETL failures occur, teams waste time debugging and reloading data, delaying financial reporting.

Without proper validation, errors go undetected until reports are generated, leading to misinformed decisions.

Our Solution: Proactive Data Validation for Vena

  • Applies validation rules to detect missing, inconsistent, or out-of-range values.
  • Flags duplicate entries, misaligned data structures, and missing key relationships.
  • Generates automatic validation reports, alerting teams to issues before they impact Vena reporting.
     
  • Monitors changes in data structures (e.g., column renaming, datatype changes).
  • Prevents ETL failures by detecting unexpected changes in source system tables.
  • Example: If an ERP system changes a numeric column to text, DSCIM’s metadata validation automatically alerts users before it causes ETL crashes.
     
  • Verifies that data relationships remain consistent within Vena.
  • Runs value distribution analysis to detect anomalies in financial statements, budgeting reports, and consolidations.
  • Example: Ensures that account hierarchies and dimensions in Vena are structured correctly, preventing discrepancies between reports.
     

How DSCIM’s approach makes a difference

  • Proactive data issue detection: fixes problems before they impact reports, rather than reacting to bad data after processing.
  • Minimizes ETL failures: by detecting and addressing data issues in advance, DSCIM ensures smooth data loading into Vena.
  • Validation reports: automatically deliver concise error reports that let you pinpoint and resolve ERP data issues at their origin - before they affect your financial close.
  • Data quality assurance at every step: our automated checks catch missing values, formatting errors, and any unexpected changes in data structure before they reach your data warehouse - so you always have reliable information for financial decisions.
     

Spend less time fixing sheets, more time on the real work

Eliminate reporting errors by ensuring data is clean before entering Vena.

Reduce ETL failures and debugging time, improving productivity.

Gain confidence in your financial reports with validated, structured data.