Druva Cloud Platform

### Product Name

Druva Cloud Platform

The Match & Merge feature enables organizations to identify and consolidate duplicate records across various data sources seamlessly. By employing advanced algorithms, this feature analyzes data points to recognize similarities and discrepancies, allowing users to merge duplicate entries into a single, accurate record. This capability effectively eliminates data redundancy, reduces storage costs, and enhances the quality of data analytics, ultimately leading to improved decision-making and operational efficiency.

#### Master Data Management

Master Data Management (MDM) within the Druva Cloud Platform provides a centralized system for managing critical business information across the organization. It ensures that all departments work with the same consistent data sets, which minimizes errors caused by conflicting information. MDM addresses the challenge of data silos by creating a unified view of essential business entities such as customers, products, and suppliers, thereby enhancing collaboration and streamlining processes throughout the organization.

#### Information Governance

Information Governance is a vital feature that allows organizations to establish policies and procedures for managing their data effectively. This feature helps ensure compliance with regulatory requirements and industry standards by automating the classification, retention, and disposal of information. By implementing robust governance practices, organizations can mitigate risks associated with data breaches and non-compliance while fostering a culture of accountability in data management.

#### Data Capture

The Data Capture feature simplifies the process of collecting information from various sources by automating data entry tasks. This functionality supports multiple formats, including forms, emails, and documents, ensuring that valuable information is captured accurately and efficiently. By reducing manual entry errors and saving time, this feature allows organizations to focus on analyzing and utilizing their data rather than spending resources on gathering it.

#### Customer Data

The Customer Data feature provides a comprehensive view of all customer interactions and transactions across different touchpoints. By consolidating customer information from various channels into a single platform, organizations can gain insights into customer behavior and preferences. This holistic view enables more personalized marketing strategies and enhances customer engagement, ultimately driving sales growth and improving customer satisfaction.

#### Data Migration

Data Migration simplifies the transfer of data between systems or platforms without disruption to business operations. This feature ensures that data integrity is maintained during migration through automated validation processes that check for consistency and accuracy. By facilitating smooth transitions during system upgrades or cloud migrations, this feature helps organizations minimize downtime and avoid the pitfalls associated with manual data transfers.

#### Data Security

Data Security is a critical feature that safeguards sensitive information against unauthorized access and breaches. The Druva Cloud Platform employs advanced encryption methods both in transit and at rest, ensuring that all data remains secure. Additionally, it offers robust access controls and authentication measures to protect against internal and external threats. By prioritizing data security, organizations can build trust with their clients while complying with legal requirements related to data protection.

#### Data Integration

Data Integration allows organizations to connect disparate systems and applications seamlessly, facilitating the flow of information across platforms. This feature supports various integration methods such as APIs and ETL processes, enabling real-time data synchronization. By breaking down silos between systems, Data Integration enhances operational efficiency and ensures that decision-makers have access to up-to-date information for informed strategic planning.

#### Data Analysis

The Data Analysis feature empowers organizations to extract meaningful insights from their datasets through advanced analytics tools. With capabilities such as predictive analytics, trend analysis, and visualization dashboards, users can easily interpret complex data patterns. This feature addresses the challenge of making sense of large volumes of data by transforming raw information into actionable insights that drive strategic initiatives and enhance overall business performance.