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Data Quality Software

Amplify the business value of your data

Bloor Research
Bloor Research Evaluates Syniti in Detailed InBrief Report
Use Cases

Don't let bad data hurt your bottom line

Poor data quality manifests as unhappy customers, high-friction business processes, inaccurate analytics and bloated carrying costs. Find out how Syniti's unified cloud solution addresses these issues and many others.

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Improve Process Performance

Improve your procure-to-pay, order-to-cash, or MRO processes. Leverage embedded best practices, hundreds of pre-built reports, and smart automation improve and measure performance.

Data Violations Gradient

Avoid overstocking

The average Fortune 500 manufacturer wastes $46-$60M in working capital in excess parts. Identify and address this low-hanging fruit with AI-driven operational data matching.

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Improve customer relationships

Don't let bad data or poor 'first-time right' process performance negatively impact your brand our your customer relationships. Rapidly find and fix your most important data quality issues

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Accelerate data migrations

Be prepared to execute on a merger or acquisition, or consolidate your HR data in the cloud? Syniti addresses quality issues prior to or during migration, so you can expect exceptional data quality at go-live

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Deliver next-level analytics

Stop spending hours of your day fixing data to get your reports to run. Syniti delivers the data quality you need to enable faster, centralized decision making that accelerates growth and reduces risks.

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Ready to get started?

Take the next step to transform data quality from a risk into an opportunity.

*Gartner does not endorse any vendor, product, or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designations. Gartner’s research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.