How To Get More Bang for Your Data Integration Buck? Agility is Key
We all want to stretch our dollar as far as it will go. If you work in IT today, this should particularly resonate. The mantra we hear every time? “Do more with less!” So how do you support ever-increasing data complexity and volume? Fend urgent demands for quality data from business counterparts? All this while watching budgets shrink? Agility is certainly key to success when facing constant business change.
In a recent blog post we shared our customers’ top selection criteria for a Data Integration platform. Not surprisingly, customers are looking for a Data Integration solution that will help them drive business agility, deliver quality data and maximize their investment in a Data Integration platform.
This brings to mind a recent study by Bloor Research. In their report, entitled ‘Comparative Costs and Uses for Data Integration Platforms’, the experts from Bloor share their findings from a large-scale comparative survey. This study included nearly 300 participants. In their research Bloor analysts compared leading Data Integration vendors based on three main criteria:
- Agility to support multiple use cases:
Bloor analysts asked respondents to rank vendors’ ability to support six common usage scenarios, for which Data Integration tools may be used. What was the thinking behind this investigation? Bloor researchers believe that tools which are more versatile, give their owners the agility to leverage existing resources and skills to meet changing organizational needs. These ‘economies of scale’ give the organization more bang for their buck. The six common use cases outlined were: Data Warehousing/BI (Business Intelligence), Application data migration and consolidation, Application to Application integration, B2B data exchange, Synchronization of data with SaaS (Software as a Service) applications and MDM (Master Data Management).
- Staff Productivity:
Bloor researchers state that measuring factors such as ease of use, productivity or reusability is difficult. This is because different users may not have experience with all tools and cannot truly give comparative answers. Therefore Bloor’s comparative analysis was based on some interesting criteria they developed. They looked at how long does it take to get the first project up and running with the tool, as function of the complexity of source and target systems. Or how long does it take to develop the average project, weighted by complexity of integration task.
- Total Cost of Ownership (TCO):
To asses TCO, Bloor analysts claim that it is insufficient to simply evaluate initial cost and 3 year costs. These costs need to be weighted by the number and complexity of projects supported by the solution. Complexity is measured by number of sources and targets, as well as the scale the solution will need to support. e.g. a solution, designed to support twenty large-scale projects with complex sources and targets, delivers higher total value to the organization than a solution supporting a single project with one simple source and target. The Bloor report illustrates how to take that into consideration when calculating Total Cost of Ownership.
Would you like to learn more about how Bloor researchers used these three key criteria to compare vendors. Interested in what were the findings of the survey? Are you curious to know how Informatica and other vendors were ranked by nearly 300 respondents in this study? We recommend viewing this Webinar: ‘Bloor Research Recommends: How to Maximize Value of Data Integration Investments’. The webinar features Philip Howard, Research Director at Bloor Research. Or you can download the full Bloor report here.
View the Bloor Webinar.
Download the full Bloor report.