Gartner Analytics for Data Management
Gartner Data Management analytics help companies evaluate and compare data management solution providers, as well as identify emerging trends and technologies in the industry. The analyzes include vendor classifications, such as the “Magic Quadrant” and “Critical Capabilities,” which evaluate vendor performance against specific criteria. Gartner provides recommendations and best practices to help companies choose the right solution for their needs.
This article summarizes the indications for Data Management solutions featured in the Hype Cycle report for the year 2021 and introduces the innovative Data as a Service (DaaS) services.
Introduction
If as an entrepreneur or business manager you are interested in implementing effective and long-lasting data services, Gartner analyzes for data management can help you:
- Identify the right data management solution vendors for their needs: Gartner’s analytics provide an objective assessment of vendors and their solutions, enabling business owners to compare various vendors and choose the one that best fits their needs.
- Understand Emerging Industry Trends and Technologies: Gartner provides insight into emerging trends and technologies in the data management industry, enabling business owners to stay abreast of the latest innovations and make informed technology investment decisions.
- Implement Effective Data Management Solutions: Gartner provides recommendations and best practices for implementing data management solutions, helping business owners implement effective solutions that meet their business needs.
- Save time and money: Gartner provides a wealth of analysis and advice to help business owners make informed decisions and avoid costly mistakes.
The Gartner Hype Cycle Model
The Hype Cycle model is a methodology developed by Gartner, an information technology consulting research and analysis firm, to graphically represent the maturity, adoption and application of specific technologies.
The curve indicates what type of technology is worth adopting and the time frame in which it should be considered by reporting information on two variables: time on the x-axis and usage expectations on the y-axis.
The first part of the curve, the highest peak, shows the areas of highest media uptake. The prospects listed are new and potentially high, but also unknown because they are not yet used in the market, so the risks are also relatively unknown.
As a technology moves through the hype cycle, the costs and benefits become clearer and more defined, which in turn makes the solutions to be adopted less risky. Some technologies will move quickly as they are deployed while others will stop and be abandoned.
Gartner Hype Cycle for Data Management
The Gartner report for Data Management technologies (Figure 1) clearly shows that investing in a Data Virtualization service today allows you to take advantage of a mature service that creates value for the organizations that adopt them.
It is an important asset because it allows organizations to quickly connect, integrate and deliver data without additional replication or the creation of multiple separate silos. Data virtualization, significantly improves the flexibility to integrate new data sources. It is also recommended as an indispensable component to help optimize costs since it is not managed or stored locally.
Data virtualization is beneficial for data engineering teams that want to gain rapid access to data sources and need cost-effective management.
Data as a Service (DaaS) solutions, services that go beyond simply displaying reports and dashboards, are becoming increasingly popular among data management services to help organizations make effective decisions.
Conclusions
I believe that the adoption of data services for any size of online business is of strategic importance, especially if adopted for a long period. The evolved management of data services largely repays the investment in a reliable way and responds to new analytical and reporting requirements to implement effective digital strategies.
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You might also be interested in these articles on this topic:
The benefits of DaaS – Data as a Service
How to start using DaaS services – Data as a Service.
Published by: Nicola Lapenta
Credits: Gartner
Photo by: Wikipedia
