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Data Sheet

Assess Your Data Health!

Drive Decision-Making Excellence with a Robust Data Foundation

Explore the essentials of data health. Delve into the core aspects of accuracy, completeness, consistency, security, and accessibility, and understand how maintaining robust data health is vital for today’s data-centric decisions.

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Understanding Data Health: Key Principles and Checklist

Assess your data and make it a strategic asset! In our data sheet, “Understanding Data Health: Key Principles and Checklist” you will learn:

  • The essentials of data health
  • Examples of data health in the industry
  • The impact of poor data health
  • Practical steps to assess your data health

Key Callouts

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Good data health is fundamental for organizations to make informed decisions, drive strategic initiatives, and maintain operational efficiency.

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Estimates find that bad data costs the U.S. economy trillions each year.

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Data health ensures that
data serves its intended purpose effectively.

Trust Your Data And Your Peers

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Recognized for our innovative and dynamic solutions, Semarchy was featured in Gartner’s 2022 Peer Insights report, affirming our commitment to delivering high-quality data management.

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Recognized for their unparalleled performance, Semarchy proudly emerged in The Forrester Wave™: Master Data Management Solutions, Q4 2021, underscoring their commitment to innovative data solutions.

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Semarchy made the Constellation Research, Inc. ShortList™ for Master Data Management. Constellation evaluates more than 15 solutions and this ShortList is determined by client inquiries, partner conversations, customer references, vendor selection projects, market share, and internal research.

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Our Customers love Semarchy

The Semarchy Unified Platform keeps learning curves low and ROI high.

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“The Proof of Value was part of de-risking the solution and vendor. It significantly accelerated our decision and implementation process.

The value of seeing the ins and outs of Chipotle’s operations is priceless. You’re able to make faster decisions and that’s an advantage in this market.

We’ve really increased the trust in our data across the organization, through our data quality standards, metrics and measures.

By providing the value, showing the benefits of the use cases and providing transparency on the rules of data management, leadership could see the benefits and get on board.