Self-Service Data Classifications
and Migrations

In today’s data-driven world, organizations are drowning in data sprawl across complex hybrid cloud environments. Traditional data governance and migration point solutions, often complex and inaccessible, create data silos, hinder collaboration, and limit the value businesses can extract from their information. Enterprises must break free from the mundane “lift and shift” approach and embrace a “data-driven” strategy for infrastructure management. Data Dynamics Enterprise Software empowers organizations to automate data classification, streamline migrations, and break down data silos. By enabling self-service data ownership and fostering collaboration, Data Dynamics Enterprise Software paves the way for a future where data is readily available for analysis, leading to better decision-making and improved business outcomes.

1Taming the Data Deluge

Taming the Data Deluge
Organizations struggle to identify and classify data across file shares, cloud storage, and data lakes. Manual processes are slow, error-prone, and lead to wasted storage on redundant or obsolete data.

Automated Classification & Reduced Storage Costs with Data Dynamics Enterprise Software

Data Dynamics Enterprise Software takes the hassle out of data classification with its combined metadata analytics and content analytics capabilities. By automatically classifying your data based on type, sensitivity, and usage patterns, Data Dynamics Enterprise Software saves valuable time and resources. This intelligent system identifies less frequently accessed data, allowing you to archive it to cost-effective cloud storage options such as S3 or OneDrive. This frees up valuable space on high-performance storage for data that is actively in use. Furthermore, Data Dynamics Enterprise Software utilizes statistical sampling to analyze representative subsets of your data, ensuring insightful reporting at all levels—from executives to individual users. This comprehensive approach empowers you to pinpoint and eliminate redundant or obsolete data, leading to significant reductions in storage expenses.

2Democratizing Data Governance and Actionability

Democratizing Data Governance and Actionability
Traditional data governance can be complex and inaccessible to non-technical users, hindering data ownership and collaboration. Business users often lack the tools or knowledge to manage their data effectively.

Empower Data Owners to View, Control, and Act on Their Data with Data Dynamics Enterprise Software

Data Dynamics Enterprise Software empowers business users to take control of their data with its self-service data classification tools. These user-friendly tools allow them to classify data based on specific departmental needs and real-world business context. This fosters a sense of data ownership and collaboration, breaking down traditional data silos. Furthermore, Data Dynamics Enterprise Software’s role-based access control (RBAC) extends to the data owner level, enabling granular control. Business users can define who can access their data and at what level—read, write, or edit—ensuring their information remains secure. This empowers them to become active participants in data governance, making informed decisions about their data and its usage.

3Compliance at Your Fingertips

Compliance at Your Fingertips
Managing complex data retention regulations across hybrid cloud environments is a challenge. Manual processes are error-prone and can lead to hefty fines for non-compliance. Identifying and mitigating data security risks is also crucial.

Automate Retention and Risk Management with Data Dynamics Enterprise Software

Data Dynamics Enterprise Software empowers you to streamline data retention and minimize regulatory risks with its comprehensive capabilities. Using metadata analysis, Data Dynamics Enterprise Software’s retention compliance capabilities automatically discover, classify, and tag your data based on specific retention requirements. This data can then be seamlessly integrated with Data Dynamics Enterprise Software’s data policy creation and workflow capabilities to automate data lifecycle management tasks, including deletion, archiving, and migration. Furthermore, Data Dynamics Enterprise Software’s data usage and traceability capabilities provide a centralized record of all data movement activities. Combined with its risk exposure insights, this allows you to analyze data usage patterns and proactively identify potential security threats. This data-driven approach helps you meet data retention compliance requirements, minimize regulatory risks, and optimize storage management by automating previously manual tasks.

4Shining a Light on the Dark Data

Shining a Light on the Dark Data
Lack of visibility into data usage across hybrid cloud environments makes it difficult to understand data value and identify opportunities for optimization. Uncertainty about data ownership can hinder accountability and trust.

Enhance Data Visibility and Transparency with Data Dynamics Enterprise Software

Data Dynamics Enterprise Software’s data usage and traceability capabilities shed light on your data like never before. Our centralized data index provides complete transparency, allowing data owners to see exactly how their data is being used through personalized dashboards. This fosters trust and accountability within your organization, ensuring everyone is on the same page. But Data Dynamics Enterprise Software doesn’t stop at visibility. Its self-service tools empower data owners to further optimize their data’s journey. Want to migrate data to a new location? Archive unused data? Delete obsolete information? Data Dynamics Enterprise Software’s intuitive tools put you in control. We call this data owner observability. With real-time updates and insights, you can make informed decisions about your data. This not only promotes responsible data handling practices but also empowers users to become true data stewards within your organization.

5Risk Identification and Mitigation

Risk Identification and Mitigation
Data privacy regulations like GDPR and CCPA are becoming increasingly complex, and organizations struggle to comply. Identifying and managing sensitive data across hybrid cloud environments is a challenge.

Mitigating Data Privacy Risks and Ensuring Compliance with Data Dynamics Enterprise Software

Data Dynamics Enterprise Software’s content analytics, powered by AI/ML and NLP, automatically identifies and classifies sensitive data such as PII and PHI. But that’s not all. Data owners can take control with Data Dynamics Enterprise Software’s self-service data classification capabilities, allowing them to further categorize sensitive data based on their specific regulatory requirements. Streamline your discovery and risk management with Data Dynamics Enterprise Software’s seamless integration with cloud-integrated risk controls, such as Microsoft Information Protection. Additionally, Data Dynamics Enterprise Software’s data usage and traceability capabilities provide a centralized record of all data movement activities, making audit trails and compliance reporting more efficient. Finally, Data Dynamics Enterprise Software helps ensure data privacy and regulatory adherence by automating data lifecycle management tasks. Based on your retention policies, Data Dynamics Enterprise Software can automatically delete or anonymize data, helping you maintain compliance and reduce risk.

6Unleashing the Power of AI & Machine Learning

Unleashing the Power of AI & Machine Learning
Preparing data for AI and machine learning projects can be time-consuming and complex. Data scientists often struggle to find, access, and clean data from diverse sources across the organization.

Streamline Data Wrangling with Data Dynamics Enterprise Software

No more drowning in data from siloed sources. Data Dynamics Enterprise Software’s data aggregation and harmonization capabilities are your lifeline. Effortlessly consolidate data from file storage, object storage, and data lakes—no more time-consuming manual collection. Data owners and data scientists can work together seamlessly using self-service tools to define granular access permissions, keeping your data secure and compliant. Need to move data for specific projects? Data Dynamics Enterprise Software can initiate data migration and even transform data from file to object storage for a smoother workflow. Automated data cleansing workflows help ensure data quality by removing inconsistencies and errors that could undermine your AI/ML models. This translates to streamlined data preparation, faster AI/ML project development, and ultimately, unlocking the true potential of your data for advanced analytics.

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