Data Virtualization Statistics

Data Virtualization Statistics 2023: Facts about Data Virtualization outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Data Virtualization, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

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Top Data Virtualization Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 15 Data Virtualization Statistics on this page 🙂

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Data Virtualization “Latest” Statistics

• According to Denodo data, there are only 1,999,984 distinct clients in that view; as a result, only 0.69% of the total is moved as a result of this optimization, which is a significant gain in speed.^[1]
• Single-column uses 100% of the data presented in the dataset to construct statistics.^[1]
• While implementing new data services, a top semiconductor company saved 90% of its resources.^[2]
• A telecom corporation cut the burden of IT operations employees by 40%, saving more than $250,000 annually.^[2]
• Amgen, a major U.S. biopharmaceutical business, increased per-plant revenue by $10-$30 million while improving medication production yield by 1%-3%.^[2]
• Building and maintaining data integration procedures for tying together dispersed data assets would cost 45% less for businesses using data virtualization as a delivery strategy by 2020.^[2]
• Data virtualization reduces data integration resources by 30%.^[2]
• One of Spain’s leading telecom companies, Jazztel, doubled customer retention while increasing first-call resolution rates to 95%.^[2]
• The use of data virtualization can reduce the operational costs of a business by up to 30%.^[2]
• Data virtualization can save 50% of the time of a business by up to 50%.^[2]
• Customers of Denodo from major organizations and mid-market businesses across 30 sectors have realized more than 400% returns and millions of dollars in benefits in less than six months.^[3]
• Data virtualization can increase the productivity of a business by up to 300%.^[3]
• In 2022, 60% of all institutions will enforce data virtualization as their key delivery style in data integration architecture.^[3]
• The usage of data virtualization can reduce the use of development resources of a business by 80%.^[3]
• Data virtualization has 30% swifter access to data than ETL processes.^[3]

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How Useful is Data Virtualization

Data virtualization is a technology that allows organizations to access and manipulate data from disparate sources without the need to physically move or replicate the data. Instead, data virtualization creates a virtual layer that combines and presents data in a unified view, making it easier for users to query and analyze information in real-time. This virtualization technology plays a crucial role in data integration, enabling businesses to make data-driven decisions quickly and efficiently.

One of the key benefits of data virtualization is its ability to provide a comprehensive view of data from multiple sources, regardless of where the data is stored or how it is formatted. This eliminates the need for time-consuming data integration processes, such as Extract, Transform, Load (ETL) operations, which can be costly and prone to errors. With data virtualization, organizations can access and analyze data in its original source, saving time and resources while ensuring data accuracy and consistency.

Moreover, data virtualization improves data accessibility and agility within organizations. By creating a virtual layer that aggregates and presents data in a unified view, users can easily access and analyze information from different sources in real-time. This quick and seamless access to data empowers businesses to make faster decisions and respond promptly to changing market conditions, giving them a competitive edge in today’s fast-paced business environment.

Furthermore, data virtualization enhances data security and governance by centralizing access control and providing a single point of control for data access and usage. This reduces the risk of data breaches and unauthorized access to sensitive information, ensuring that data is protected and compliant with regulations such as General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA).

In addition, data virtualization promotes cost savings by minimizing the need for manual data integration processes and reducing the complexity of managing multiple data sources. This technology allows organizations to create a virtual data layer that connects seamlessly with existing systems and applications, eliminating the need for costly infrastructure investments and maintenance.

Overall, data virtualization is a valuable technology that offers numerous benefits to businesses seeking to harness the power of data for informed decision-making and competitive advantage. By providing a unified view of data from disparate sources, improving accessibility and agility, enhancing data security and governance, and promoting cost savings, data virtualization is a powerful tool that can help organizations unlock the full potential of their data assets.

Reference

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1. denodo – https://community.denodo.com/kb/view/document/Denodo%20Query%20Optimizations%20for%20the%20Logical%20Data%20Warehouse
2. denodo – https://www.denodo.com/en/data-virtualization/benefits
3. denodo – https://www.denodo.com/en/data-virtualization/overview