DataOps Platforms Statistics


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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 🙂

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 Dataops Platforms 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.

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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]

Also Read

How Useful is Dataops Platforms

One of the biggest benefits of DataOps platforms is their ability to automate many of the processes involved in managing and analyzing data. By automating tasks such as data integration, cleansing, and transformation, these platforms can significantly reduce the time and resources required to work with data. This not only improves productivity but also allows organizations to focus on more strategic tasks that can drive business growth.

DataOps platforms also help to improve collaboration and communication among different teams within an organization. By providing a centralized platform where data is easily accessible and transparent, these platforms can break down silos and encourage cross-functional collaboration. This can lead to better decision-making processes and ultimately improve the overall performance of the organization.

Furthermore, DataOps platforms can help organizations to ensure that their data is secure and compliant with regulations. With built-in data governance features, these platforms can help organizations to enforce data policies, monitor data usage, and track data lineage. This is crucial in today’s data-driven world, where data privacy and security are top priorities for organizations of all sizes.

Additionally, DataOps platforms can help organizations to scale their data operations as they grow. By providing a flexible and scalable platform, these tools can easily adapt to changing business needs and handle increasing data volumes. This ensures that organizations can continue to derive value from their data without being hindered by technical limitations.

While DataOps platforms offer many benefits, they are not without challenges. Implementing and managing these platforms can be complex and require specialized skills and expertise. Organizations will need to invest time and resources into training their teams and ensuring that they have the necessary skills to effectively use these platforms.

Furthermore, organizations will need to carefully evaluate their needs and choose a DataOps platform that aligns with their specific requirements. With many options available in the market, organizations will need to conduct thorough research and due diligence to select the right platform for their needs.

Overall, DataOps platforms have the potential to greatly enhance the way organizations manage and utilize their data. By automating processes, improving collaboration, ensuring security and compliance, and enabling scalability, these platforms can help organizations to unlock the true value of their data. While challenges exist, the benefits of DataOps platforms make them a valuable investment for organizations looking to succeed in today’s data-driven world.

Reference


  1. webinarcare – https://webinarcare.com/best-dataops-platforms/dataops-platforms-statistics/
  2. href – href
  3. cognite – https://www.cognite.com/en/blog/i-already-have-an-mes.-why-do-i-need-an-industrial-dataops-platform

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