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TrustFactor™ Source Data Quality Assurance
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Make investment decisions with confidence.  Leverage NOI’s Source Data Quality Assurance for asset performance information you can believe in.  

With visibility comes increasing demand for clarity. 
Business Intelligence tools have revolutionized investment analysis by aggregating data from disparate sources into holistic, actionable content.  For visibility and transparency to be meaningful, however, companies now realize that the systems and processes which produce source data must be accurate, consistent, and uncompromised.  They also recognize that improving data quality is not a one-time challenge but a never ending one.  The stakes are high as even the slightest of errors can cost real estate investors millions. 

  TrustFactor™ is a comprehensive rating system being developed cooperatively by leading investment managers and business intelligence solution providers.  This new standard rates the quality of the systems and processes that produce data providing a better way to measure the accuracy, consistency, and reliability of asset performance information.

A single version of the truth can be achieved over time.       
While you monitor the performance of your investments, our expert audit teams scour each of your source systems to assess the assumptions, entries, formulas, and transfer methods that comprise your asset performance data.  Results for each system determine your TrustFactor™ score.  As problem areas are discovered, you can rely on NOI Strategies to optimize your processes and systems to provide you with the highest possible TrustFactor™.  Periodic audits will highlight improvements or new deficiencies ensuring the on-going integrity your data. 

 

 
How it works:
1 NOI specialists audit source systems and processes for data and formula accuracy, errors, omissions, and consistency.
2 Each source system is given a Trust Factor™ score along with recommendations for improvement. 
3 NOI performs on-going audits to monitor data integrity of new and existing data sources.