Agile Organization

Data-Driven Agile: An Answer to Your Problems

Data has become a core strategic asset in most organizations, and data management is one of the top priorities for most C-suite leaders. The structured and unstructured data that enterprises collate about processes and people have the power to spur cutting-edge customer acquisition and retention strategies. A data-driven scrum methodology helps a scrum manager to predict the day-to-day growth of a project. In this article at Hackernoon, Alex Circei explains the importance of data-driven Agile in delivering better software.

Why Data-Driven Agile?

Whether you are using Agile, Waterfall, or a hybrid approach, Agile data-driven methodology is the next step in software development. The data-driven methodology opens the opportunity for managers to track the engineering output and make decisions based on data. Further, the approach helps provide concrete feedback, enhances project delivery quality, and paves the way for constructive conversations.

Benefits of Data-Driven Agile

Here are some of the significant benefits of data-driven Agile. It helps in:

  • “Empowering an effective code review workflow across the organization by providing a framework designed to support knowledge sharing and code collaboration,” explains Alex.
  • Increasing team productivity by minimizing redundant meetings and time spent on reporting. It leads to the overall satisfaction of the engineers.
  • Improving managers’ visibility over potential roadblocks.
  • Mitigating the risk of spiral costs and missed deadlines that leads to customer satisfaction.

Data-Driven Daily Standups

Meetings can impact engineers’ productivity negatively. They lose nearly half a day over a simple meeting. The Agile data-driven methodology reduces the engineers’ meeting load by supporting a different approach to daily standups. It suggests that engineering teams must run two daily standups per week – one at the beginning and one at the end of the week. This helps them focus on delivering business value.

The result of incorporating data into your prioritization and development discussions is the delivery of customer-focused quality, predictability, and value. To know more about data-driven Agile, click on

Show More
Back to top button

We use cookies on our website

We use cookies to give you the best user experience. Please confirm, if you accept our tracking cookies. You can also decline the tracking, so you can continue to visit our website without any data sent to third party services.