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 🙂
Are you planning to form an LLC? Maybe for educational purposes, business research, or personal curiosity, whatever the reason is – it’s always a good idea to gather more information about tech topics like this.
How much of an impact will Data Virtualization Statistics have on your day-to-day? or the day-to-day of your LLC Business? How much does it matter directly or indirectly? You should get answers to all your questions here.
Please read the page carefully and don’t miss any words.
On this page, you’ll learn about the following:
Top Data Virtualization Statistics 2023
☰ Use “CTRL+F” to quickly find statistics. There are total 15 Data Virtualization Statistics on this page 🙂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
- Disaster Recovery Statistics
- Data Management Platforms Statistics
- Cryptocurrency Payment Apps Statistics
- Data Center Security Statistics
- Operating Systems Statistics
- Credit and Collections Statistics
- Data Virtualization Statistics
- Decentralized Identity Solutions Statistics
- Dispensary POS Systems Statistics
- Digital Audio Advertising Statistics
- Data Center Networking Solutions Statistics
- Cryptocurrency Mining Statistics
- Customer Advocacy Statistics
- DDoS Protection Statistics
- Data Visualization Statistics
- Desktop as a Service (DaaS) Providers Statistics
- Other Travel Arrangement Statistics
- Digital Forensics Statistics
- Database Security Statistics
- Online Marketplace Optimization Tools Statistics
- Data Labeling Statistics
- Other Collaboration Statistics
- Customer Data Platforms (CDP) Statistics
- Other Health Care Statistics
- Desktop Search Statistics
- Decision-Making Statistics
- Password Policy Enforcement Statistics
- Other Transportation Statistics
- Other Finance & Insurance Statistics
- Digital Experience Platforms (DXP) Statistics
- Data Center Infrastructure Management (DCIM) Statistics
- Data Masking Statistics
- Other Government Statistics
- Customer Journey Mapping Statistics
- Digital Process Automation (DPA) Statistics
- Data Preparation Statistics
- Other IT Infrastructure Statistics
- Digital Learning Platforms Statistics
- Other Monitoring Statistics
- Data Fabric Statistics
How Useful is Data Virtualization
At its core, data virtualization allows for the integration of multiple data sources in real-time, presenting a unified view of all available data without the need to physically move or store that data. This approach offers a number of key benefits, including increased agility, improved scalability, and enhanced decision-making capabilities. By virtualizing data, organizations can quickly adapt to changing business requirements, scale their data environments efficiently, and make better-informed decisions based on a more complete and up-to-date view of their data.
One of the primary advantages of data virtualization is its ability to simplify data access and integration. Instead of needing to copy data from various sources into a central repository, data virtualization allows users to access and query data directly from its original location. This not only reduces the time and effort required to access and integrate data but also ensures that users are always working with the most current and accurate information available.
Data virtualization also offers significant cost savings by eliminating the need for redundant data storage and reducing the complexity of data management environments. By virtualizing data, organizations can optimize their existing infrastructure, improve resource utilization, and simplify data governance and security processes. This can lead to lower operational costs, increased ROI on existing data investments, and overall greater efficiency in data management practices.
Another key benefit of data virtualization is its impact on data analytics and business intelligence. By providing a unified view of all available data sources, data virtualization enables organizations to perform more comprehensive and insightful analytics, uncovering hidden trends, patterns, and insights that may have otherwise gone unnoticed. This can lead to faster and more accurate decision-making, improved business performance, and a competitive edge in today’s data-driven marketplace.
Despite its many advantages, data virtualization is not without its challenges. Organizations must carefully consider factors such as data security, performance, and governance when implementing a data virtualization strategy. Ensuring that data is secure, compliant with relevant regulations, and efficiently accessed and processed can be a complex undertaking that requires careful planning and execution.
In conclusion, while data virtualization holds great promise as a powerful tool for data management, its true utility ultimately depends on how well it is implemented and integrated into an organization’s existing data infrastructure. When done correctly, data virtualization can unlock significant business value, enabling organizations to maximize the potential of their data assets and drive better outcomes across the board. Organizations that embrace data virtualization as a key part of their data strategy stand to gain a competitive advantage in today’s data-driven economy.
Reference
- denodo – https://community.denodo.com/kb/view/document/Denodo%20Query%20Optimizations%20for%20the%20Logical%20Data%20Warehouse
- denodo – https://www.denodo.com/en/data-virtualization/benefits
- denodo – https://www.denodo.com/en/data-virtualization/overview