Software Sherpa » Data Quality

Data Quality ROI Calculator for Marketing

Sean Anderson — Fri, 11 Dec 2009 07:06:44 +0000

This Data Quality ROI Calculator shows you how a relatively small percentage of bad or undeliverable addresses and duplicate records in your database can cause significant marketing spend waste. To get an estimate of the savings your organization can realize by investing in a data quality program, simply plug in your total number of records, estimated bad or undeliverable addresses and estimated duplicate records and the calculator will determine your annual cost of bad customer data.

Webinar: TDWI Webcast on Data Integration and Data Quality

Sean Anderson — Sat, 29 Aug 2009 22:51:37 +0000

Registration Link:

Data Integration and Quality – Helping Your BI and Data Warehousing Initiatives Succeed

Date:
Wednesday, September 16

Time:
11:00 AM CST

Presenters:

Danette McGilvray is President and Principal Consultant at Granite Falls Consulting, Inc. She is the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ (Morgan Kaufmann, 2008) and was formerly a consultant at Genentech and the Enterprise Information Quality Program Manager at Agilent Technologies.

Overview:

If your organization is embarking on a Business Intelligence or Data Warehousing project, be sure to attend this live TDWI (The Data Warehousing Institute) webcast featuring Danette McGilvray, president and principal consultant, Granite Falls Consulting, to learn how data integration and data quality are critical in ensuring the success of your project and meeting your overall strategic business goals.

BI and data warehousing projects bring new challenges to members of the project team. Data that previously met individual business process, operational, or analytical needs must be integrated and fulfill multiple reporting requirements. Data quality issues uncovered as a result of this integration often delay project timelines and increase budgets. Join us for this live expert webcast to learn how to avoid these pitfalls and what is needed for project success.

Topics for discussion include:

Data quality challenges resulting from data integration
The role of tools and processes in ensuring quality
How to incorporate data quality activities throughout your project
How data integration and quality will help you meet strategic business decisions

SAP BusinessObjects Maintains Leadership Position in Gartner’s Magic Quadrant for Data Quality Tools for 4th Year in a Row

Sean Anderson — Tue, 11 Aug 2009 17:08:29 +0000

If your organization is currently evaluating enterprise information management solutions, Gartner’s Magic Quadrant for Data Quality Tools is an important reference document for you as you create your vendor “short list”.

Published annually, the report covers data quality from an overall company perspective – product, services, and business execution – so the ranking encompasses more than product capabilities. It is a point-in-time view by two Gartner analysts with input from a limited number of customers.

Eventhough 2009 represents the first Magic Quadrant scoring for a combined SAP and Business Objects, SAP BusinessObjects maintained its Leaders quadrant position for the 4th year in a row, based on completeness of vision and ability to execute, a significant accomplishment given the size of the integration.

Here are some highlights from the report:

“As part of SAP, the vendor’s growth prospects are further expanded via access to the global SAP applications customer base, where data quality challenges are prevalent.”
“Business Objects provided a good breadth of functional data quality capabilities, including data profiling (via Data Insight XI) and common data-cleansing operations (via Data Quality XI)”. “Consistent with increasing market demand for tightly integrated data integration and data quality functionality, Data Services is seeing increased adoption…”
“SAP Business Objects’ strength in this market remains very much in applications of customer/party data quality, specifically in matching/linking, deduplification and name and address standardization and validation.”

All in all, the report is a great confirmation of SAP BusinessObjects’ comprehensive data quality technology which is now provided with enterprise-calibre data integration all on a single, unified platform with Data Services.

To view the complete Gartner Magic Quadrant for Data Quality Tools report, please visit: http://www.gartner.com/it/products/mq/mq_ms.jsp