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Data Classification

Easily organize your business content in a way it can be used and protected more efficiently

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Data Classification2022-10-21T11:13:19+02:00

DATA CLASSIFICATION

Improve the usability and accessibility of your data.

Data classification is undeniably not a very exciting process. However, it’s one that’s unavoidable in today’s world of big data. The practice of organizing data into defined categories simplifies the process of locating and retrieving information, making it easier to manage, use and protect.

Getting it right can yield significant advantages for a business since it allows business content to be managed centrally and thereby more effectively and, above all, securely.

KEY BENEFITS

The benefits of data classification

For most businesses, data classification is an on-going exercise. As a result, this improves data security and allows businesses to meet regulatory compliance obligations. Additionally, information can be audited and checked more easily, both in terms of its accuracy and how it is stored.

Sensitive customer information must be stored securely and deleted after a defined period. These legal obligations can be met by creating data categories and applying security rules to them. Ultimately, proper data classification results organizing your data in a way it supports your business processes.

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Frequently Asked Questions

Here are some of the most asked questions we encounter regarding data classification.

What is data classification?2022-10-21T11:09:49+02:00

Data classification is the process of organizing data into categories that make it easy to retrieve, sort, and store for future use. A well-planned data classification system makes essential data easy to find and retrieve. Generally, this is of particular importance for risk management, legal discovery, and regulatory compliance.

What is the purpose of data classification?2022-10-21T11:12:59+02:00

Systematic classification of data helps organizations manipulate, track and analyze individual pieces of data. Data professionals typically have a specific goal when categorizing data. The goal affects the approach they take and the classification levels they use.

Some common business objectives for these projects include the following:

  • Confidentiality. A classification system safeguards highly sensitive data, such as customers’ personally identifiable information (PII), including credit card numbers, Social Security numbers, and other vulnerable data types. Establishing a classification system helps an organization focus on confidentiality and security policy requirements, such as user permissions and encryption.
  • Data integrity. A system that focuses on data integrity will require more storage, user permissions, and proper channels of access.
  • Data availability. Addressing and ensuring information security and integrity makes it easier to know what data can be shared with specific users.
What are the different types of data classification?2022-10-21T11:16:30+02:00

Standard data classification include the following categories:

  • Public information. Data in this category is typically maintained by state institutions and subject to disclosure of public data as part of certain laws.
  • Confidential information. This data may have legal restrictions about the way it is handled, or there may be other consequences around the way confidential data is handled.
  • Sensitive information. This data is any information stored or handled by state or other institutions that have authorization requirements and other rules around its use.
  • Personal information. Generally, personal information or PII is protected by law and must be handled following certain protocols. Sometimes there are gaps between the moral requirements and contemporary legislative protections for their use.

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DATA CLASSIFICATION TECHNOLOGY

Smart technology to organize your data.

Discover how our solutions enable businesses to adopt modern and resilient operating models to anticipate what’s next and lead the change.

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iManage Insight

Transform collective knowledge into insights to find experts, best practices and connect to enterprise data for better results.

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iManage Extract

Deliver new insights and increase business value using AI to identify and extract information from legal documents.

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OUR APPROACH

Making sure business and IT requirements are met.

For every project our team ensures a great fit of the solution, tailored to your specific needs and requirements. We follow a clear and transparent project approach and due to our best practices methodology we get you up and running fast – without false promises and compromising on quality.

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