What has been your greatest success story in breaking down the "us versus them" culture that often exists between technology and other business functions?

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Senior VP & CISO3 years ago

Us versus them starts with relationships & trust. Have regular one-on-ones with key leaders and stakeholders in the business. Then, use that information to deliver technology that helps drive business success.

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CIO in Healthcare and Biotech3 years ago

A key part of my success has been learning how to speak "business" and not "technology". Discussing with the business their initiatives and how we can help them be successful has been key. Embedding myself or team members in their functions, meetings, discussions, etc, has helped us in technology to understand the direction they are going. Avoiding technology just to have it has helped people to learn that we are here to help not just throw out a new widget that will get in the way. As we try and teach second-order thinking (looking for the unintended consequences of decisions and asking ourselves "And then what?") has helped to take the thinking further down the road and show that we are partnering. 

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CIO3 years ago

The greatest success of FinOps is breaking down the "us versus them" culture between technology and other business functions. By fostering collaboration, open communication, and joint project management, we achieved a cohesive and collaborative work environment. The result? Improved outcomes for the organisation. Better understanding of business goals. Better forecasting.

VP of IT in Banking3 years ago

Focusing on intentional connectedness, and building relationships. The more our group is connected to the lines of business, the more we are able to stay in step with them and support their strategic initiatives. We are able to approach issues understanding their viewpoint and pain points. 

Senior VP & CISO3 years ago

showing business value - efficiencies, reduced time and complexity 

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Yes86%

No14%

Lack of adherence to data governance22%

Users lack necessary skills48%

Data security issues54%

Poor tool selection29%

Increased fragmentation and data silos23%

Lack of scalability14%

Unable to balance cost and value generation12%

Resistance to change or poor change management8%

Unable to measure ROI8%

Other1%

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