Third in the six-part Business Survival Series bringing you the insights, examples and direction you need to reach your business intelligence goals!
Learning Objectives
In the third of our six-part series, learn:
- how to acquire data from multiple sources,
- the purpose and process of data transformation,
- how data management supports critical data issues (security, quality, accuracy)
- how data warehousing provides enterprise-wide knowledge
Program content
You've got a goal, a plan, a strategy. Time to acquire the resources you'll be needing. As the criticality and strategic nature of business intelligence increases within large enterprises, so does the importance of having a firm data foundation on which to base these efforts. Successful business intelligence requires data from across the enterprise, data that comes from a myriad of sources in a variety of formats. Somehow, you must bring all this data together, reconcile inconsistencies, remove extraneous detail and standardize the output to create a cohesive, well-structured integrated data source that is ready for enterprise-level analysis.
The data warehouse is the essential resource for business intelligence and analytics. Effective data management processes, architecture and technologies are crucial to the success of your business intelligence journey.
Ted Friedman, Principal Analyst at Gartner Research, provides his insights and guidance in this discussion of data acquisition and management. He'll talk about how you can:
- determine what data you need,
- find out if and where that data exists in your organization, and
- retrieve and prepare the data for analytic use.
Napoleon Bonaparte once said "An army marches on its stomach." High-quality data is the sustenance that fuels your business intelligence initiatives, and without it, enterprises risk failure. Give your company the competitive advantage by making sure you have the right data in the right place at the right time.
Enterprise-wide data management requires enterprise-wide expertise. Use our Email This Page link to invite colleagues throughout your company to view this webcast for new ideas about how you can better manage your data resources. The BetterManagement Business Survival Series makes it easy for you and your colleagues to learn from the experts, the thought leaders and real-world successes, without the need for expensive travel or time-consuming research.
Participant level of understanding
This program is intended for participants with a basic or intermediate level of understanding on the topic.
Prerequisites:
There are no prerequisites for this webcast.
Advance Preparation
There is no advanced preparation required for this webcast. You may wish to view the prior webcasts in the Business Survival Series from our archives.
Who Should Attend?
Executives, Directors, Managers and Analysts who want a better understanding of how the use of business intelligence, data warehousing and analytic applications can contribute to a company's success.
About Featured Analyst Ted Friedman
Ted Friedman is a principal analyst at Gartner, Inc., where he is a member of the Business Intelligence Infrastructure team. His research focuses on data warehousing strategy and infrastructure, data integration, database technology and data quality.
“Business Survival Series: Assess Your Resources” is sponsored by SAS Institute and presented by BetterManagement.com. Any editorial supplied by SAS Institute or BetterManagement is independent of Gartner analysis. All Gartner research is © 2004 by Gartner, Inc. All rights reserved. All Gartner materials are used by SAS Institute and BetterManagement with Gartner’s permission and in no way does the use or publication of Gartner research indicate Gartner’s endorsement of SAS Institute products and/or strategies. Any other reproduction of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.
