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Top 3 Reasons Why Businesses Need Data Virtualization

The increasing volume, variety, and velocity of data from various sources have made data management a significant challenge for businesses. Businesses are collecting data from various sources such as databases, data warehouses, and cloud-based systems, and using it to drive decision-making processes. However, this data is often siloed, making it difficult to access and analyze. In response to this challenge, many organizations are turning to data virtualization as a solution.

Data virtualization enables businesses to integrate data from multiple sources without physically storing the data in a centralized location. This approach eliminates the need to copy data into a centralized data store, which can be costly and time-consuming. Instead, data is virtualized, allowing businesses to create a unified view of data from disparate sources.

Here are the top 3 reasons why businesses need data virtualization:

One of the most significant benefits of data virtualization is that it provides a unified view of data from various sources. By integrating data from disparate sources, businesses can access and analyze data quickly and efficiently. With data virtualization, businesses can integrate data in real-time, providing a near real-time view of their data in various channels like data visualizers (i.e. Tableau, Power BI), chatbots, Apps and other analytics platforms like Graph Analytics (i.e. Neo4j), Machine Learning etc.

Data virtualization helps businesses become more agile by enabling them to quickly adapt to changing business requirements. With data virtualization, organizations can easily integrate new data sources, modify existing data models, and implement changes to existing data structures without disrupting existing processes. This enables businesses to be more responsive to changes in the market, customer demands, and other factors that can affect their operations.

(3) Compliance with Data Sharing Regulations

Data privacy and data protection regulations have become increasingly complex, and businesses must comply with various regulations when it comes to sharing data. This is especially crucial in heavily regulated industries like financial services, pharmaceutical & biotechnology, healthcare and public services. Data virtualization enables businesses to comply with these regulations by allowing data to be virtualized instead of physically stored in a centralized location. Virtualized data can be easily purged and has no retention, satisfying most compliance requirements for sensitive data. Data governance policies can ensure compliance on the data virtualization platform.

One of the leading providers of data virtualization solutions is Denodo. Their platform enables businesses to create a logical data fabric that integrates disparate data sources, providing a unified view of data across the enterprise.

In conclusion, data virtualization provides businesses with a unified view of data, improved business agility, and compliance with data sharing regulations. With the increasing complexity of data management, businesses need data virtualization as a foundational layer for analytics to stay competitive and make informed decisions. By leveraging data virtualization solutions like Denodo, businesses can integrate data from various sources and create a unified view of data that enables them to make informed decisions and stay ahead of the competition.


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