Open Source Needs to be a Crucial Part of the Enterprise Data and Analytics Strategy

Open-Source

CIOs see enterprise open source as crucial for their organizations’ enterprise infrastructure strategy. Over the past few years, more and more companies have been moving to open source. This migration is driven by improved flexibility, better economics, better integration capabilities, and the higher business value provided by the open-source software.

With the increasing popularity of cloud computing, AI, and the general democratization of technology deployment, open source has become crucial in the technology space today. There is an increased level of maturity in the adoption of open source. In fact, Red Hat’s 2020 State of Enterprise Open Source Report showed that 95 percent of the IT leaders interviewed worldwide said enterprise open source was at least important while 75 percent said it was extremely important. 

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Portability and Flexibility

Open-source software and data formats, along with APIs, provide companies with a lot more choice and freedom. If a customer is unhappy with their vendor’s services or products, they have the freedom to work with another provider. Portability is especially important in the event companies need to switch providers to meet compliance or cost constraints. This kind of business agility frees the enterprise from feeling locked in and promotes broader thinking in terms of future strategies.

Companies should ensure that their data is stored in an open data format and can be easily moved to other systems; otherwise, they could get handcuffed to a vendor as their data grows.

Hybrid and Multicloud Support

Hybrid computing joins the existing on-premises resources to the cloud, and multicloud means companies can draw on the data and capabilities they are paying for in more impactful ways than when these things were siloed. Like open-source, this signifies that the customer is in control, not the vendor.

Open-source workloads are multicloud by default, and they aren’t dependent on multiple types of infrastructure. Integrating these two can provide companies with more power and choice than ever.

Unlocking Community Innovation

Open-source communities extend beyond a company to a much larger world of software engineers collaborating to address issues. This means that there will be a lot more innovation that improves the quality of the shared software, allowing companies to take advantage of those innovations while freeing up their employees to do more value-added work and focus on the customers.

Companies can participate and contribute to open source, giving them access to expertise and perspectives across industries and geographies. It will allow them to innovate outside of the confines of their preconceived notions of industry standards. Open source also has the potential to lower the barrier to advanced analytics by allowing enterprises to easily pull from open source and deploy the code.

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Smarter and Faster Analytics

In recent years, analytics has rapidly evolved to become business-critical. This has turned analytics into something that’s more agile, reliable, and automated.

The new process called CM/CT (continuous modeling/continuous training) helps in analyzing and acting on insights faster by reorganizing how analytics and software teams work together. Therefore, by building the analytics environment with open-source software, companies can quickly leverage these analytical advancements.

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Prangya Pandab is an Associate Editor with OnDot Media. She is a seasoned journalist with almost seven years of experience in the business news sector. Before joining ODM, she was a journalist with CNBC-TV18 for four years. She also had a brief stint with an infrastructure finance company working for their communications and branding vertical.