Every ‘influencer’ and expert will tell you to make data-driven decisions, but no one knows what kind of data they have. This doesn’t just cover GRC but also impacts enhanced security, AI initiatives, competitive analysis, your reputation in the market and among your peers.

Organizations implement data governance for several key reasons:

  • Ensuring Data Quality. By establishing standardized processes and policies, organizations can maintain high data quality, accuracy, and consistency.
  • Regulatory Compliance. Data governance helps ensure that organizations comply with laws and regulations regarding data privacy and protection, such as GDPR or CCPA.
  • Risk Management. With proper data governance, organizations can identify and mitigate risks related to data security and data breaches.
  • Operational Efficiency. Streamlining data management processes leads to improved efficiency, reducing redundancy, and minimizing errors.
  • Improved Decision-Making. High-quality, well-governed data supports better analytics and insights, leading to informed and strategic decision-making.
  • Accountability and Ownership. Clear data governance policies establish roles and responsibilities, ensuring accountability and proper handling of data across the organization.
  • Enhancing Trust. Effective data governance builds trust with customers, partners, and stakeholders by demonstrating a commitment to data integrity and security.

Legacy data, mergers & acquisitions, migrations, personnel changes and governance objectives are all valid reasons to manage your data, reduce risk and increase your potential for success with AI and other projects.

We’ve classified several billions of data sets and here’s what we find on average:

  • Ensure your old and new data is at the right location.
  • Full data insights into your unstructured data.
  • Insights provided by region, department or custom view.
  • Ensure your data has the right security labels.
  • Ensure the right people (and tools) have access to their approved data.
  • Clean up and manage old data.
  • Assist with mergers & migrations.
  • Reduce your risk.
  • Pre-AI data hygiene.
  • Unleash the potential of your data.

We’ve classified several billions of data sets and here’s what we find on average:

  • 90%+ of illegal data is found in Exchange.
  • 6% of illegal data is found in OneDrive.
  • 3% of illegal data is found in SharePoint.
  • Less than 2.5% of illegal data is found in on-prem file shares.
  • On average we find 7-8 copies of sensitive data.
  • The average user is storing 8-10 sets of credentials in plain-text, many of which are administrative credentials.
  • Company financial data is often stored in Excel and often not secured properly.
  • Users often bypass corporate security measures, for example, by downgrading labels and changing file extensions.

… and more.

There are currently 27 different data privacy legislations in North America. Data is accumulating quickly and no one really knows what kind of data they have. From our analysis of over 1 billion data objects, we know that most organizations aren’t good at removing privacy data when it’s no longer needed. That means the impact of a data breach or other data incident also continues to increase month over month.

Conversely, the organizations that can show their commitment to data compliance inspire the confidence of their customers, employees and partners.

There are four steps to ensuring regulatory compliance. These are:

  1. Ensuring you can identify and classify all privacy related data.
  2. Assessing your data from the perspective of applicable privacy data legislation to understand which items and supporting business processes are out-of-compliance.
  3. Engage the appropriate business users to review the results and mark items with the action that needs to occur to address the non-compliance.
  4. Automate the remediation by deleting the privacy data that isn’t needed, then organizing and protecting the privacy data that remains.

Data & More delivers an end-to-end solution for ensuring compliance with all privacy legislation, both current and future, in North America and throughout the rest of the world. How?

  • We provide Multi Factor Classification.
  • We support to over 28 languages.
  • We index instead of crawling data.
  • We provide classification-based reports, which can be easily generated as needed.
  • We provide the ability to remediate privacy data on an enterprise scale.
  • We can define and engage data custodians to review and approve content changes, again on an enterprise scale.
  • We cover unstructured data on premises and in cloud-based repositories.
  • We ensure you get, and stay, compliant.

… and more.

Purview is an excellent tool for data loss prevention and lifecycle management. Sensitivity labels are easily applied, either through Microsoft Office as users author and save documents or through automated classification of data saved in various unstructured data repositories.

That said, many organizations struggle with making sure they have the right labels on the right documents. Over-labelling means Purview will disrupt business operations and under-labelling means Purview’s information protection doesn’t work as intended.

Adding to this challenge, Purview includes a base set of data classification patterns and leaves it to the implementing organization to identify, develop and maintain the additional scan patterns they require to properly protect their important data.

Simply put, Data & More can apply and edit Purview labels. This means organizations can leverage Data & More’s Multi-Factor Classification to accurately and completely identify the data that needs to be protected, then leverage the strength of Purview data protection and lifecycle management.

Data & More provides data privacy classification in 28 languages, including local health information, workers’ unions, information about religious and sexual orientation, and all the sensitivity categories required in the EU, North America, and Canada. Once classified, Data & More will compare the classification to the Purview label and, where necessary, change the label. This means unlabeled documents will get labelled and incorrect labels will be adjusted so Purview is protecting the right documents.

Document types not supported by Purview are also identified so your organization can make alternate arrangements to protect those items.

Finally, Data & More can be used to audit the effectiveness of Purview, providing visibility into the effectiveness of your Data Loss Prevention and lifecycle management programs.

Comprehensive Identification and Classification

  • Effortlessly identify and classify all Personal Data residing in OneDrive & SharePoint.
  • Empower administrators with a centralized dashboard, offering insights into the location and nature of sensitive data.

Streamlined Sensitivity Labeling

  • Facilitate the mapping of document classifications to sensitivity labels, ensuring seamless integration with existing systems.
  • Simplify custom classification based on diverse criteria such as content, location, age, ownership, and risk factors.
  • Facilitate the mapping of document classifications to sensitivity labels, ensuring seamless integration with existing systems.
  • Simplify custom classification based on diverse criteria such as content, location, age, ownership, and risk factors.

Precise Application of Sensitivity Labels

  • Apply appropriate sensitivity labels—be it ‘Sensitive’, ‘Highly Sensitive’ or ‘Confidential’ with precision and accuracy.

Holistic Data Coverage

  • Identify sensitive data across the Office 365 tenant, including legacy emails and non-office files that may evade Purview’s auto-labeling capabilities.

Actionable Risk Assessment

  • Generate comprehensive reports for administrators to evaluate the overall risk coverage of Personal Data within the organization.

… and more.