Gartner Research

Best Practices for 'Proofs of Concept' for Data Integration Tools

Published: 25 January 2008

ID: G00154587

Analyst(s): Ted Friedman


Proof of concept activities are a valuable component of a data integration tools evaluation and selection effort. Organizations can use a properly scoped and executed proof of concept to clearly understand how well the tools fit relative to their functional requirements, and the benefits they offer.

Table Of Contents
  • Overview
  • POC — Your Data Integration Tools Evaluation Isn't Complete Without It!
  • Planning and Design of the POC
  • Execution of the POC
  • Evaluating the POC Results
  • POC Results Have Significant Value, but Must Be Weighed Along With Other Factors

©2021 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Purchase this Document

To purchase this document, you will need to register or sign in above

Become a client

Learn how to access this content as a Gartner client.