TAG: Saugatuck Technology

The emergence of the cloud model has resulted in a major metamorphosis in the way ISVs execute their business. While the increasingly wide range of readily-acquired, quickly-deployed solutions has raised the costs of integrating and managing IT, it has also raised users’ expectations as to what is possible. For ISVs. This means that the need to innovate and integrate — at “cloud speed” — has become paramount, affecting ISVs’ business models and technology strategies to the core. The costs in money and time to grow, adapt, re-invent, and innovate at such an increasing pace are spiraling beyond the ability of even the largest ISVs.

This paper discusses the “surge toward SaaS” and explains how and why midsized and larger ISVs can address the complexities of new or different architecture types to support multiple customer and partner needs, as well as new types of business structures and operational needs, in order to be able to compete and thrive in these rapidly evolving markets.

Kamesh Pemmaraju - Sand Hill Group

Most of today’s Big Data and analytics solutions are mostly bolt-on solutions to existing ERP systems. many challenges remain to be addressed in the areas of performance and latency, data migration, bandwidth limitations, and application architectures.

Bruce Guptill, SVP and Head of Research - Saugatuck Technology

Many businesses small and large have not yet accounted for the increasing, and increasingly variable, costs of bandwidth in cloud IT and cloud business plans, strategies, and spending. This will unnecessarily increase the costs of managing cloud IT and business.

Bill McNee, Founder and CEO - Saugatuck Technology & Robert McNeill - Saugatuck Technology

Saugatuck Technology's experiences with IT users and executives continue to emphasize the fact that not every IT workload is suitable for Cloud IT. When IT operations, business processes, and applications are assessed against defined business objectives, the economics and risk of Cloud use and management can be much more prohibitive than widely believed. Every significant workload, every significant application or operation, needs to be evaluated regarding its fit and readiness for Cloud deployment and use.