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Advantages of DevOps in BFSI Data Analytics

DevOps brings accelerated insights, enhanced collaboration, and scalability to data solutions

It’s not a new thing that fintech companies, startups, and multinationals use 'Developer Operations' – DevOps – in the ever-growing field of analytics for their BFSI partners.

Pick any company offering business analytics solutions to Banks and NBFCs and you will see that they have well-structured DevOps practices. Let’s see why?

DevOps practices are growing at a faster pace today. The team helps multiple financial fronts to reach strategic goals faster and profit in highly competitive markets. Majorly, elimination of delays in software development is possible because of DevOps. With these teams in place, developers can respond to business needs faster.

As DevOps is a must for BFSI data analytics solution partners, every analytics provider can need a few essentials in place.

The benefits that follow are essential for better deployment of advanced analytics solutions, and further, maintenance of these systems in complex data environments like customer relationship management, lead generation, recovery/collections, and data-driven investing.

Business Benefits for BFSI Companies

• Faster time to market for new functions or products

• More stable and resilient operating workspace

• Improving inter-agency cooperation and communication

• New innovations and new features for customers

Technical Advantages for Data Analytics Partners

• Real-time problem solving

• Less human intervention and errors

• Less complex project management process

• Streamlined product life cycle with continuous delivery

Data Culture Development

• Better, productive, and synchronized teams

• Skilled employees for specific tasks

• Better knowledge sharing between departments

What Do You Get from Analytics Partners Who Use DevOps Strategies?

When your BFSI analytics partners incorporate DevOps strategies into their operations, it can bring several benefits and advantages. Here are some things you can expect from analytics partners who utilize DevOps:

Higher Customer Satisfaction

DevOps has brought a lot of change in how the Development, Operations, and Testing teams work with each other to ensure faster, reliable, and secure delivery of software.

It has enabled enterprises to respond faster to changing customer needs and market requirements in the digital age. Customer Experience is a guiding torch for DevOps.

Improved Collaboration

The main point of opting for DevOps is to remove silos that hinder workflows and improve the relationship between development, operations, and quality assurance teams.

Once DevOps processes and principles are put into place, the drive toward automation becomes easier as teams work iteratively toward the standardization of collaboration.

Agile and SCRUM Methodologies

The flexible design of small, intuitive development steps aligns well with the DevOps approach which eventually leads to even faster deployments.

Combining DevOps with an Agile approach helps easily incorporate feedback and customer reviews. Instead of wasting time developing a complete function that could be redundant.

CI/CD Practices

Continuous Integration (CI) is a core practice that integrates code changes from different sources into a central repository. It collates code changes as needed and uses automated tools to validate code correctness which is achieved through a source code version control system.

The reason to incorporate CI is that it makes it easier to highlight bugs and quality issues in less code.

Continuous delivery (CD) begins when continuous integration is complete. Continuous delivery allows getting code from constant integration into a production environment. It makes software and deployment smooth, low-risk, and can be done quickly.

'Continuous Deployment' is the next step that combines continuous integration and continuous delivery to make software updates automatically available to users without human intervention.

Hence, continuous deployment requires complete automation and also refers to the process of automatically releasing developers’ changes from the repository to production, without the need for developer approval for each release.

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