Tag Archives: TCO
Businesses retain information in an Enterprise data archiving either for compliance – adhere to data retention regulations – or because business users are afraid to let go of data they are used to having access to. Many IT have told us they retain data in archives because they are looking to cut infrastructure costs and do not have retention requirements clearly articulated from the business. As a result, enterprise data archiving has morphed into serving multiple purposes for IT –they can eliminate costs associated with maintaining aging data in production applications, allow business users to access the information on demand, all while adhering to some – if any known or defined – retention policies. (more…)
Informatica CIO, Tony Young talks about what’s happened in the last year with the Informatica Marketplace. Hear him talk about the adoption, its growth and why customers keep coming back for more.
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Here is part two of my interview with Informatica’s Scott Geffre. Scott has led the CRM rollout at Informatica, helping the company migrate from Pivotal to salesforce.com. In the first half of our discussion, he spoke about evaluating TCO and some of the benefits of software as a service (SaaS) applications. In this post, Scott talks about the importance of cloud integration, the challenges of hand coding, and master data management (MDM). (more…)
Last week we made a significant announcement relating to the availability of our flagship product “PowerCenter” on the Amazon EC2 infrastructure. Why?
The answer lies in the profound advancements that are happening in the area of “cloud infrastructure.” For many years we have talked about running applications “on-premise” and “on-demand.” Companies like Salesforce.com have pioneered the delivery of applications on their own infrastructure and we’ve become very familiar with the concept of software-as-a-service. So where has Amazon come from? (more…)
In the current economic environment, where IT organizations are on shoestring budgets and every project requires a strong financial justification, Total Cost of Ownership (TCO ) has yet again become a key concern. Looking at TCO for data integration is no exception.
Most folks understand that TCO should look at both upfront and ongoing costs. And the technology/productivity angles are fairly obvious, even if they are not always easy to quantify—how much time and resource can a technology save both in upfront development and the downstream maintenance and administration. Technology-based factors such as ease of use, functional capabilities, and scalability/performance all fall into this equation. (more…)