Stop content sprawl in its tracks.

Clean-up your content clutter to boost productivity and save on storage, back-up, and IT costs.

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Data clean up is the process of deduplication of content and removing outdated and irrelevant files. Clean-up is a critical step towards minimizing your data and making it more reliable for informed business decisions and achieving compliance effortlessly. The bonus – data minimization can reduce your storage, backup, and IT costs by more than 50%.

Content sprawl across various storage locations hinders quick access and puts sensitive data at risk. Content sprawl is a growing problem for businesses grappling with growing amounts of disorganized, outdated, or irrelevant data. This chaos makes it harder to find accurate and up-to-date information, obstructs accurate decision-making, hampers compliance, and impedes growth.

Content sprawl directly contributes to storage and management overheads. Increasing your cloud bills and consuming unnecessary management resources.

Connect with your existing tools to efficiently find duplicates, outdated, and irrelevant files across diverse content stores
Intuitive dashboard to unify the results of the content clean-up
Work in the background with zero end-user disruption
Keep data secure, deployed behind your firewall

Remove Content Clutter and Improve Data Quality

Simplified Data Governance

Establish a robust data governance framework, ensuring a seamless journey from data clean up to compliance and intelligent business actions.

Actionable Insights

Post data clean up, unearth actionable insights that drive informed decision-making, fostering business growth and compliance adherence.

Enhance Operational Efficiency

Data clean up eliminates clutter, ensuring smooth data operations. This translates to quicker data retrieval, better server performance, and streamlined data management processes which significantly boost operational efficiency, saving both time and costs.

Augment Data Security

Data clean up identifies and rectifies discrepancies, preventing potential security risks. Through regular data clean up, ensure that sensitive information is correctly stored and managed, significantly enhancing the overall data security posture.

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Chat with one of our knowledgeable specialists who can help you get started with the right automated data migration solution based on your goals.

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What is the process of data clean up?

Data clean up involves rectifying or removing inaccurate records from a database, ensuring data accuracy, consistency, and relevance for better decision-making and compliance.

How does data clean up enhance business compliance?

Data clean up facilitates compliance by ensuring data integrity, accuracy and reducing the risks associated with inaccurate or outdated information.

What are the benefits of choosing Shinydocs for data clean up?

Shinydocs offers a robust, intuitive data clean up solution that not only rectifies data inaccuracies but elevates data management for smarter business decisions and compliance.

How does data clean up contribute to better decision-making?

Clean, accurate data is the foundation of informed decision-making. Data clean up removes inaccuracies, providing a clear, accurate data landscape for better business strategies.

Can Shinydocs data clean up solutions be tailored to any industry?

Yes, Shinydocs data clean up solutions are versatile and can be tailored to meet the unique data management needs across various industries for enhanced compliance and decision-making.