What is the role of data analytics in software product development?
Data analytics plays a pivotal role in software product development, offering valuable insights and enhancing the development process that helps product teams deliver superior software with ease. Here’s how data analytics can enhance your product development process:
- Informed decision-making - Data analytics deftly guides strategic decisions by providing in-depth insights into user behavior and market trends that enables product teams to build software that conforms with the customer’s need.
- Continuous improvement - Through iterative analysis, data analytics helps software product teams refine distinct features and functionalities based on real-world usage and end user feedback.
- Efficiency optimization - Data analytics identifies and addresses performance issues, errors, and bugs to ensure that the software is reliable, available, and performant to deliver an optimal experience.
Learn how we streamlined data consolidation and management for an airline crew accommodations provider using Power BI.
What are the DORA metrics to measure DevOps performance?
DORA metrics are used by DevOps teams to measure their performance and find out whether they are ‘low performers’ or ‘elite performers’. These metrics help organizations to modernize and gain a competitive edge against competitors. The four metrics used are -
- Deployment Frequency (DF) - It is the frequency of successful software releases to production.
- Lead Time for Changes (LT) - It measures the time between when a code change is committed and when it is deployed to production and delivered to the customer.
- Mean Time to Recovery (MTTR) - It measures the time between the interruption due to system failure or deployment and full recovery.
- Change Failure Rate (CFR) - It indicates how often team changes or fixes failures after the code has been deployed.
Read our blog to understand DORA metrics.