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A sure sign of a company’s successful digital transformation is when it can leverage data to optimize every area within the enterprise. As Forrester puts it, for a company to realize the return on investment (ROI) of a digital investment, “benefits from digital investments need to be aligned with the business requirements for a specific value chain stage.” All along, data-driven insights need to be tied to measurable gains and real-world business key performance indicators (KPIs).

Why Digital Transformation Can’t Happen without Experimentation

The reality, however, is that data-centric principles are easier to apply in some areas of the business than others. The ethos has certainly taken hold in the development world—with its whole culture around DevOps, continuous delivery (CD), continuous integration (CI) and related agile methodologies that emphasize constant, data-driven experimentation and frequent reassessment and adaptation of plans.

Unfortunately, too many companies drop the innovative mindset once things progress to production and customer rollout phases. In doing so, they fail to spread the ROI from digital investments more fully across the organization. In other words, they fail to mount a genuine digital transformation.

True digital transformation requires companies apply a stronger, more agile approach to product adjustments across the value chain. Nowhere is this more critical than the need to embrace “full-stack experimentation” to realize business value from the world of data-based product development and testing.

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Staff Writer

Staff writer for Requirements.com, your online expert resources for "All Abour Requirements."

2019-03-24 Why Digital Transformation Can’t Happen without Experimentation Why Digital Transformation Can’t Happen without Experimentation

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