Data Virtualization Statistics

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

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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]

Also Read

How Useful is Data Virtualization

Data virtualization is a crucial technology that enables organizations to consolidate and integrate data from disparate sources without the need for physical data movement. Rather than physically moving data into a central repository, data virtualization allows data to be accessed, manipulated, and analyzed in real-time, regardless of where the data resides. This not only saves valuable time and resources but also helps organizations derive timely insights for informed decision-making.

One of the key benefits of data virtualization is its ability to provide a unified view of data across various sources. By creating a virtual layer that abstracts the complexities of underlying data systems, organizations can easily integrate data from disparate sources and present a unified and consistent view to end-users. This simplified view of data empowers users to make better decisions based on accurate and up-to-date information.

Furthermore, data virtualization promotes agility and flexibility within organizations. As new data sources emerge or existing data sources change, data virtualization allows organizations to adapt quickly without disrupting existing systems or processes. This agility is crucial in today’s fast-paced business environment, where the ability to respond rapidly to changing market conditions can mean the difference between success and failure.

Another significant advantage of data virtualization is its cost-effectiveness. By eliminating the need for physical data movement and duplication, organizations can save on infrastructure costs and streamline their data management processes. Additionally, data virtualization reduces the risk of data inconsistencies and inaccuracies that may occur when data is moved and replicated across multiple systems.

Data virtualization also enhances data security and governance within organizations. By creating a centralized and controlled access point for data, organizations can ensure that data is accessed and utilized in a secure and compliant manner. This centralized approach to data access also helps organizations enforce data governance policies and maintain regulatory compliance.

In conclusion, data virtualization is a valuable technology that enables organizations to effectively manage and analyze the ever-increasing volume of data. By providing a unified view of data, promoting agility and flexibility, reducing costs, and enhancing data security and governance, data virtualization empowers organizations to make informed decisions and drive innovation. As organizations continue to navigate the complexities of the data landscape, data virtualization will undoubtedly play a crucial role in ensuring data remains a strategic asset that drives business success.

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