Dataops Platforms Statistics 2023: Facts about Dataops Platforms outlines the context of what’s happening in the tech world.
LLCBuddy editorial team did hours of research, collected all important statistics on Dataops Platforms, 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 Dataops Platforms Statistics 2023
☰ Use “CTRL+F” to quickly find statistics. There are total 8 Dataops Platforms Statistics on this page 🙂Dataops Platforms “Latest” Statistics
- Gartner predicts that by 2023, 70% of organizations will use value stream management to improve processes in the DevOps [or DataOps] pipeline to deliver faster value to customers.[1]
- At least 80% of the business value of a modern data platform is delivered through change over time, not based on initial requirements.[1]
- IDC research predicts that by 2020 we will have 44 GB of data worldwide, up from 3 exabytes in 1986.[2]
- Only 17 percent of the 2,197 CIOs interviewed for the DataOps study felt that the strategic impact of DevOps on their organization was much less than that of big data (41 percent) and public cloud infrastructure-as-a-service (39 percent).[1]
- Data volume on the internet is expected to grow at a CAGR of 32% to 180 zettabytes by 2025.[1]
- The amount of data on the Internet is expected to grow at a compound annual growth rate of 32% to 180 terabytes by 2025.[1]
- According to Gartner’s 2021 paper, “Evaluating Data Warehouse Automation Opportunities,” Xpert BI software was used as a case study to demonstrate that data warehouse automation can simplify DataOps implementations.[1]
- IDC research shows that by 2023, 60% of organizations will have started implementing industrial DataOps solutions.[3]
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How Useful is Dataops Platforms
The primary goal of DataOps platforms is to streamline the entire data lifecycle, from data ingestion to processing and ultimately, storage. By automating and orchestrating these processes, organizations can effectively manage their data, ensuring that it is accurate, up-to-date, and readily accessible for analysis and decision-making.
One of the key benefits of DataOps platforms is their ability to improve collaboration and communication between different teams within an organization. By providing a centralized platform for data management, teams can work together seamlessly, without the need for manual intervention or the risk of working with outdated or incorrect data.
Additionally, DataOps platforms can help organizations increase the speed and efficiency of their data pipelines. By automating mundane and repetitive tasks, such as data cleansing and transformation, organizations can free up valuable resources to focus on more strategic initiatives and innovation.
Moreover, DataOps platforms can also enhance data quality and integrity. By establishing standardized processes and best practices for data management, organizations can ensure that their data is clean, consistent, and trustworthy, leading to more accurate and reliable insights.
Furthermore, as organizations continue to grapple with the ever-growing volume and complexity of data, DataOps platforms can provide a scalable and flexible solution to manage their data needs. With the ability to scale up or down based on demand, organizations can effectively handle large volumes of data without compromising on performance or reliability.
In conclusion, while it may be easy to dismiss DataOps platforms as yet another technology trend, the reality is that they can offer significant value to organizations looking to effectively manage and leverage their data. By improving collaboration, increasing efficiency, enhancing data quality, and providing scalability, DataOps platforms can help organizations gain a competitive edge in today’s data-driven world. As such, it is clear that DataOps platforms are not just a passing fad, but a valuable tool for organizations seeking to harness the power of their data for strategic advantage.
Reference
- webinarcare – https://webinarcare.com/best-dataops-platforms/dataops-platforms-statistics/
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- cognite – https://www.cognite.com/en/blog/i-already-have-an-mes.-why-do-i-need-an-industrial-dataops-platform