In the Data & Analytics world, Cloud-based data warehousing has begun to take hold as a leading practice for long-term data management success. However, organizations are finding it arduous to properly emerge ahead of the curve on this front.
According to a recent Gartner report titled, “Use Cloud to Compose Analytics, BI, and Data Science Capabilities for Reusability and Resilience”, data and analytics leaders should build a cloud-enabled composition environment that lets users assemble their advanced analytics use cases.
According to Gartner®, “Organizations will move more than two-thirds of advanced analytics for both development and production to the cloud by 2023. Conversely, less than one-third of them are in the cloud today, leading to concerns in maximizing the value in massive migration efforts.”
With this forecast in mind for the foreseeable future, it’s apparent that businesses must gradually move to globalizing and democratizing advanced analytics for the non-technically savvy person. Like all transformations, moving to the Cloud can be complex, costly, and time-consuming. IT project teams must ensure the migration happens seamlessly while learning new expertise of managing and securing applications in the Cloud. Globalizing and Democratizing the Cloud for all end users provides a few advantages:
According to Gartner,"By 2025, 70% of new applications developed by enterprises will use low code or no-code technologies (up from less than 25% in 2020).” As more low-code tools and applications are created in the market, advanced business intelligence, data science, and machine learning will become more self-service. With this concept in mind, teams will be able to perform autonomously, eventually cutting operating costs and enhancing internal efficiencies.
An internal struggle that in some cases, large or medium-sized enterprises face, is data silos; which can lead to wasted resources and inhibit productivity. These silos are related to at least one of the following: lack of a data-centric culture, hierarchical structure from the size of an organization, or technological barriers where one department doesn’t have access to the same applications.
With advanced analytics moving towards the cloud, the barriers it created for the non-technically savvy person will eventually decrease. This of course can only happen with the proper training and in-house expertise to guide the way. Enabling a more efficient and productive means for generating productive business decisions both internally and externally.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from SDG Group.
When it comes to analytics, the Cloud is resolving scalability issues related to the volume of data and the number of users. It enhances collaboration by bringing data closer to the business and enables data marketplaces.
Gartner,Use Cloud to Compose Analytics, BI and Data Science Capabilities for Reusability and Resilience,Julian Sun, Joao Tapadinhas,10th June 2021. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from SDG Group.