Building a Business Case for DevOps

Building a Business Case for DevOps

  • Posted by Daitan CTO
  • On July 22, 2020
  • Agile, DevOps, Software Development
It is very easy to get excited about DevOps when hearing about how Google, Facebook, and Amazon have achieved incredibly short release cycles and insane levels of automation in their infrastructures. What rarely gets mentioned is how much these wonders of technology cost. The tech giants have virtually unlimited funds to invest and can obviously afford the luxury. The rest of us, however, need to fight for our budgets and choose very wisely where to invest it.
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 Achieving Agile at Scale

Achieving Agile at Scale

  • Posted by Marketing Daitan
  • On February 19, 2020
  • Agile, Software Development
Many organizations have benefitted from using Agile methods for individual engineering teams and single projects. However, to keep pace with the challenges of Digital Transformation, organizations are actively working to expand their use of Agile software development by adopting it across entire product portfolio(s)—covering the complete digital delivery lifecycle. This magnitude of change affects whole organizations and the culture. It’s frequently referred to as Agile at scale.
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 When Business Gets in the Way of Agile Adoption

When Business Gets in the Way of Agile Adoption

  • Posted by Marketing Daitan
  • On December 10, 2019
  • Agile, Agile Teams, Culture
We discuss some of the challenges organizations face in terms of product and technology, as well as business leadership when working to achieve Agile at Scale. The hard work is in the day-to-day efforts, and when facing tough challenges, people want practical answers that help them accelerate implementation and become more Agile in the process. For many, the business and leadership challenges are the toughest. But, to really solve these business challenges means the difference between “doing” Agile and “being” Agile
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 How the C-Suite Can Think About Scaling Agile From an Engineering Practice to Business Value

How the C-Suite Can Think About Scaling Agile From an Engineering Practice to Business Value

  • Posted by Marketing Daitan
  • On November 3, 2019
  • Agile, Best Practices
Agile isn’t just an engineering methodology anymore; increasingly it’s become a business practice—and there is a proliferation of good research, frameworks and reading material for those who seek some guidance. In this post, I would like to make 3 points I believe every senior executive should consider when it comes to scaling Agile. I’m not here to drill down on the details, but rather provide some context based on Daitan’s experience.
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 How Analytics Measuring Output and Outcome Bring Value to Scaling Agile

How Analytics Measuring Output and Outcome Bring Value to Scaling Agile

  • Posted by Marketing Daitan
  • On July 10, 2019
  • Agile, Analytics, Business Outcome
The movement to scale Agile across organizations has led to lots of focus on, not only best practices and methods for implementation, but also the right way to measure success. In this article, we want to discuss the distinction between Agile analytics that quantify “output” versus those that measure business “outcomes.”
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 The Importance of Portfolio Management as Part of Scaling Agile

The Importance of Portfolio Management as Part of Scaling Agile

  • Posted by Marketing Daitan
  • On April 10, 2019
  • Agile, Kanban, Portfolio Management, Value STream Mapping
Portfolio Management is growing in importance as the need to scale Agile grows, and it’s bringing positive tangible business benefits to companies large and small. So, I thought it would be valuable to take a look at Portfolio Management and share a few insights from our own knowledge base and experiences.
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 Data Science Needs More Than Scientists—It Takes a Team

Data Science Needs More Than Scientists—It Takes a Team

  • Posted by Marketing Daitan
  • On June 11, 2018
  • Agile, Data Engineer, Data Science, DevOps
Data Science projects are complex and usually result in producing pivotal technology tied to a company’s strategic growth. So, when we build a team, we start with foundational skills like Software Development, Data Engineering and (of course) Data Scientists; and we add DevOps Engineering and Quality Engineering—to ensure the net result is a product the company can use.
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