Software Development is no longer a process where developers only look at their coding and testing. Developers today need to be ready to work in cross-functional teams and use tools of different types. A key area that software development needs to focus on in data analytics.

What is Data Analytics?

Data Analytics is a science that examines raw data and uses it to arrive at conclusions. The use of data analytics helps a business work more efficiently. A business is empowered to take decisions in a structured way. The use of algorithms has ensured data analytics is automated, so human intervention is minimal.

Data Analytics and Software Development

It is important to know what kind of data software development deals with. Typically a software development team would have data that includes:

  1. Source code.
  2. Specifications.
  3. Documentation of the software.
  4. Performance data.
  5. Usage data.
  6. Test data.
  7. Log files.
  8. Build execution logs.

As can be seen, there is a lot of data generated by the software development process. It is required that all this data be properly analysed to get insights about it. This would ensure the development team gets a clear picture of what is happening.

When data analytics is used, it helps in improved reporting. Real-time analysis of data is possible, which would be very helpful in decision making. DevOps teams that are struggling to ensure integrated communication and collaboration would find data analytics extremely useful.

Another key benefit of data analysis is visualization. The data collected and analyzed can be depicted in a visually clear format. It could be in the form of reports or dashboards or scorecards. Any use who is part of the development process would be able to see high-level data. They would also be able to go deep inside and look at finer details.

Some of the benefits that data analytics offers for software development includes:

  • Developers can get better insights about what the users actually want. This is critical since quality software depends on clearly understanding user needs.
  • Another key benefit is that data analytics helps developers know how users are using the software. They will get to know whether the software is functioning as intended and whether there are any roadblocks for users. This would help them optimize the software to ensure better user experience.
  • Data analytics allows development teams to get the software out in the market quicker with reduced errors. This helps in overall improvement of efficiency.

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