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Sesame Software

The Importance of Data Quality in NetSuite: A Foundation for Success

  • Writer: Sesame Software
    Sesame Software
  • Sep 14
  • 2 min read

Updated: Sep 16


Listen to: The Importance of Data Quality in NetSuite: A Foundation for Success

In today’s digital economy, data is the backbone of every business decision. NetSuite, as a leading ERP solution, helps organizations centralize operations, but the value of that data depends on one thing: quality.


Without accurate, consistent, and timely data, reports are skewed, customer experiences suffer, and growth opportunities slip away. Ensuring NetSuite data quality is not optional — it’s a foundation for success.


People in an office setting analyze data charts and graphs on screens. A laptop, pie chart, clock, and stacked coins are visible. Blue tones.
NetSuite data quality ensures records are accurate, validated, and current.


How Poor Data Quality Hurts Business


1. Decision-making risks Basing strategies on incomplete or inaccurate data leads to wasted resources and missed opportunities. Example: targeting the wrong audience due to flawed sales records.


2. Reporting inaccuracies Bad data skews KPIs and financial metrics, creating false forecasts. Correcting errors delays reporting cycles and drains resources.


3. Operational inefficiencies Errors in transactions, workflows, and customer details disrupt processes. Inaccurate inventory may cause stockouts or overstocking—hurting both customer satisfaction and profitability.


Ensuring Data Quality in NetSuite


1. Regular Data Cleansing Remove duplicates, fix inconsistencies, and standardize formats to keep data accurate and usable.


2. Validation Rules Prevent bad data at entry by enforcing correct formats (e.g., emails, phone numbers).


3. Consistency Across Teams Use standardized formats and a data dictionary to keep definitions aligned.


4. Data Governance Framework Define roles, responsibilities, and policies to ensure uniform handling of data.


5. Automation & Tools Automated processes speed up cleansing, validation, and monitoring—reducing human error and freeing teams to focus on strategy.


How Sesame Software Helps Improve NetSuite Data Quality

At Sesame Software, we specialize in data management for NetSuite and other enterprise systems. Our solution helps you:

  • Replicate NetSuite data with complete fidelity, including child tables and attachments.

  • Cleanse and validate data automatically to maintain integrity.

  • Standardize across systems so every department works from a single version of truth.

  • Enable near real-time access to accurate data for reporting and analytics.


With Sesame Software, you can ensure that your NetSuite environment is always running on reliable, accurate data—so reports, decisions, and operations stay on track.




Four people in a meeting room analyze charts on a large screen. A woman stands, holding a tablet, while others sit at a wooden table.

Next Steps


NetSuite Data Quality FAQ

What is data quality in NetSuite?

Data quality means ensuring NetSuite data is accurate, complete, consistent, and up to date.

Why is poor data quality a problem?

It leads to misinformed decisions, incorrect reports, operational inefficiencies, and wasted resources.


How can businesses improve data quality in NetSuite?

By cleansing data, setting validation rules, enforcing governance, and using automation tools.

How does Sesame Software help with NetSuite data quality?

Sesame Software replicates NetSuite data accurately, enforces consistency across systems, and supports automation to keep data clean.






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