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Power Your IT Business With DataOps

DataOps focuses on cultivating collaborative work of IT professionals and big data professionals. Let us know more about DataOps and DevSecOps in detail at www.enov8.com.<br>

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Power Your IT Business With DataOps

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  1. Power Your IT Business With DataOps

  2. Getting real insights into the world from the data, increasing productivity, and harming the challenges was a significant challenge faced by the data analytics professionals. • DataOps focuses on cultivating collaborative work of IT professionals and big data professionals. The agile methodology aims at improving the speed and accuracy of analytics of all the IT departments starting from development, Quality analysis, production, and Data generation. • It helps in aligning the data management process with the plan of using that data. • Since it is a system improvement process, undoubtedly we can say that everyone is going to avail the benefits. Imagine, if the company has a well-defined data management process, it is going to give more and relevant data for testing. • Relevant data means better insights that further help in defining business strategies and yield high profit.

  3. Companies who adopt this agile approach towards data analysis and use test environment management tool smartly are expected to see four times higher growth than the ones who adopt conventional methods. • Facebook, Netflix, Switch Fix, and more have already started adopting the approach and are benefitting. • If you want to implement the DataOps strategy, keep scrolling down... The process is not a step-wise defined one; instead, there are key areas that need the focus. Here they are:

  4. Democratize the Data: • Business stakeholders are demanding more access to the data as compared to earlier times, 96% of chief data officers believed this. Moreover, the lack of data access did not allow them to make better, productive business decisions. • This roadblock doesn’t let the businesses to think innovative and out of the box strategies. Not Machine learning and deep learning applications also need a regular input of new data to improve upon the insights. The data sets should now be easily available to the companies for improvement and give a cutting edge output.

  5. Use the platforms and the Open Source tools: • For implementing the DevSecOps, you need a data science platform that supports languages and frameworks that are loved by the community. Python, R, data science notebooks, GitHub are important for data movement, integration, performance, etc. • You do not have to build things, but your team should know the open sources which already leverage the functionality. Finalize your goals and expectations from the data and then start analyzing the tech stack accordingly.

  6. Automate the procedures: • Manual data collection and analysis is indeed time-consuming. In order to increase efficiency and achieve faster evolution, it is necessary to automate the steps and mitigate manual integration. • Quality assurance testing and data analytics pipeline monitoring are the steps which need an automated approach in the DataOps umbrella.

  7. Handle with care: • Many companies are taking steps toward establishing excellent data science management. You need to take into account the existing processes, tools, infrastructure, priorities, and KPIs to avail of a huge Return On Investment while taking the DevOps approach. • A roadmap to data science development should be in place to reap the benefits.

  8. One should know that DataOps is a branch of DevOps, and as Gartner predicts, “it shall be adopted by 80% of Global Fortune 1000 companies”. • The best output using the agile methodology shall be obtained by collaborating the two major groups of the IT industry, 1. Development department and 2. Operational department. By implementing this, the problem detection and its correction shall be done faster than ever before. • DataOps works on this idea and is applied across the entire life of data. When the data-science approach combines with the DevOps approach, it is referred to as “continuous analytics.”

  9. Contact Us Company Name : Enov8 Contact Person : Ashley Hosking Address : Level 5, 14 Martin Place, Sydney, 2000, New South Wales, Australia. Phone(s) : +61 2 8916 6391 Fax : +61 2 9437 4214 Website :- https://www.enov8.com

  10. Thank You

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