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Automate Discovery and Classification of Sensitive Data

Incomplete and inaccurate data diminishes the value you are getting out of the data tools you are using along with the data itself.

How can you manage and protect your data across multiple sources while also discovering and classifying your dark data?

Tap into this case study to understand why a Fortune 500 insurance company leveraged a fully autonomous sensitive data discovery and classification engine to drive successful outcomes with their data governance and security toolsets.

These are also closely related to: "Pervasive Data Profiler v4"

  • COMFORTE - Data Security Platform

    The growing complexity of digital business ecosystems, data exposure risks, and meeting evolving compliance requirements are pushing today’s business to their limits of what’s possible.

    How can you keep up?

    In this e-book, learn about a data security platform that is designed to:

    • Understand the contextual nature of sensitive data and drive ongoing automated discovery
    • Learn patterns of identity, scan and sample data to rapidly map where data resides
    • Help determine which data is regulated and exposed across structured, semi-structured, and unstructured data sets
    • And more

    Download now to tap into these insights.

  • 3 Ways Cohesity’s Data Management Solidifies Data Defenses

    Ransomware threats require hardened and active data management defenses.

    With attackers now focused on destroying backup data, backup and recovery solutions must be boosted to protect, detect and recover from ransomware attacks.

    Yet, many legacy solutions lack advanced zero-trust and attack-detection capabilities, resulting in longer downtime and extensive data loss due to inefficient and slow data recovery.

    Read on to learn how you can improve your cyber resilience with a data management solution purpose-built to solidify your data defenses.

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  • How to optimize your data stack to foster a data-driven culture

    This blog post by mParticle explores the different issues emanating from relying on downstream activation tools to combine data events into disparate systems. It also shows how to solve each of these issues.

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  • 5 ways to evaluate the quality of your data

    This article provides 5 metrics and processes you can use to evaluate the health of your data, regardless of where your organization falls on the data maturity curve. Keep reading to learn how you can curate and improve data quality across 4 key levels.

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  • Why master data management can help your SAP S/4 HANA migration

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    Cyberattacks are more varied than ever. Learn the key symptoms that signal a problem and how to respond to keep systems and data safe.

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    The explosion of analytics possibilities and methods means that coupling a semantic layer to one analytics style no longer makes sense—in fact, some decoupled semantic layer approaches can improve data quality and foster self-service analytics. Access this e-book to learn how you can best deploy semantic layers for your analytics.

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  • Integrate disparate data silos with CData Connect Cloud

    You can simplify the modern data stack by connecting your disparate systems within one easily accessible cloud platform, such as the CData Connect Cloud. Learn more about this solution, and its core capabilities, in the following blog post.

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  • Data integration showdown: Which vendors lead the pure-play market?

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  • Essential guide to dealing with a data breach

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  • Why consider master data management?

    Inside, learn how master data management (MDM) can help you refine your data for optimal data usage. Discover the essential features of a successful MDM software, and explore how MDM can help improve your organization's data quality, business insight, and more.

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    Firms in financial services face two major problems today: data is in silos and data is complex. To remedy these issues, companies can implement a universal repository. Read this whitepaper to learn what you need to consider when building a universal repository and how it can increase productivity and improve data quality for your business.

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  • Moving Beyond Activity: Helping Sales Focus on Quality Interactions and Yield

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    Today’s IT teams often struggle to identify new signals or opportunities in their data monitoring. Observability lets you discover and understand your dynamic environments in near real time. Read this white paper to learn more about observability, including definitions, benefits, and the observability pipeline.

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    Disasters, whether human-made or natural are unavoidable, so planning for them is critical to ensuring delivery of care and services, regardless of the situation. Most organizations are more aware of and planning for high-profile data breaches and ransomware but many are not prepared for the most common types of disasters and human errors.

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    Businesses are now being forced to shoulder the burden of managing massively complex data sets, even as they’re expected to model and use that data to come up with insights. Read this white paper to learn how TIBCO’s EBX software is empowering users with data management made easier, and gives them the ability to model data the way they want to.

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  • Master Data Management (MDM) – What you need to know today

    Master Data Management (MDM) allows organizations to realize accurate reporting, fewer errors, and better insights. Read how the rapidly growing MDM market is changing how high performing organizations are consolidating and managing their data to set new best practices.

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