TBR’s Business Insights

TBR has been evaluating the changing nature of technology alliances through its subscription and commissioned research for decades. A series of best practices have emerged, most often developed by young technology companies, while the commercial impediments seem more acute for legacy vendors with their employees’ resistance to change. The balance of this document will discuss the successful approaches vendors have shared with TBR, and what end customers and small technology companies have shared with us as the anachronisms associated with legacy partner program structures.

TBR views the path to a successful GSI alliance program as a five-step process, with many small steps, tasks and requirements associated with each step. Technology vendors may be anywhere in this journey, depending on the maturity of their GSI alliance program, if they have one. It should be noted that this is our perspective, based on the support we have given companies along this journey with our research and advisory services. We have drawn elements of this framework from ASAP’s Alliance Life Cycle framework to make it specific to ISV-GSI partnerships.

Discover the two main forces shaping TBR’s outlook for the digital transformation market and how they can help you capture analytics and insights opportunities while reducing and managing expenses

There’s no one playbook or set of “hacks” that can help you build models that are actionable for addressing your business challenges. For that, only collaboration and iteration (read: hard work) will do. However, there are a number of key success factors that we believe can help ensure that a CI/MI.

A model is only as valuable as the validation, sourcing and trust that underly the numbers. In other parts of this series, we’ve talked about what a financial model is and how it can be used, but none of those things matter without trust in the data. At TBR, this fact plays into every step of working with clients on financial modeling engagements: upfront, during the modeling process, and in the final delivery of the models and our recommendations based on them. Here are some of the techniques we recommend for building trust in your financial models.