by Jodee Hale-Schmid
November 2, 2010
Authored by John Ferraioli, SVP Data Lifecycle Management, Utopia, Inc.
It’s a funny thing. A data blogger made a bold statement that there are no data rules, rather he made the argument that data exists in an enterprise to support the “business functions”** of that enterprise. Data rules, then were not required – only business rules were relevant.It may sound like we are contradicting ourselves when we say we do, in fact, subscribe to his thinking regarding business process (or function) execution. But in our opinion, data without rules is like a house without a solid foundation. And in this dimension, apparently we cannot agree.As a data centric consultancy, part of our methodology for a data migration, enterprise data management service, or a data health assessment™ is to document, analyze and understand the business rules. We actually scorecard whether or not the business rules are enforced and governed. It’s one thing to have a rule, quite another to enforce it in a consistent manner…anyone with a dog or children will appreciate this. So absolutely we require and need business rules. But at the foundation, data rules support the structure and the very definition of how data standards are enforced.The approach should be to understand and enforce the following canons of enterprise data management:
So all in, I believe the statement is wrong or semantically challenged. Data rules outline and can be used to enforce standards and the related metrics allow a data governance organization to manage what they measure. Ultimately to scorecard themselves against acceptable thresholds or tolerances tied to data integrity. One man’s data rules are another’s data standards. Semantics aside, data rules are a necessity.
An email has been sent to:
Every single data area processed in SAP HANA is highly sensitive. To safeguard against security threats, SAP HANA includes a built-in feature that encrypts the vast majority of accrued data,...
SAP HANA is here to stay — it is the default, in-memory database underlying every new analytic and transaction system of record delivered by SAP, including SAP S/4HANA. This means...
Monetization is the end goal for all data use — organizations must find a way to leverage data to either reduce costs or gain new revenue. To effectively monetize the...
Please log in to post a comment.
No comments have been submitted on this article. Be the first to comment!
Detect Cross-System SoD Risks Between ECC, SAP S/4HANA, and Master Data Governance
Tips for Business Partner Adoption for SAP S/4HANA
Enhance Data Quality in Real Time Using SAP Data Quality Management Software
See more »
SAPinsider is published by WIS Publishing, a division of Wellesley Information Services.
20 Carematrix Drive, Dedham, MA 02026 USA
Sales and Customer Service: 1(781)751-8799; firstname.lastname@example.org
© 2017 Wellesley Information Services. All rights reserved.
Online ISSN #2155-2444, Print ISSN #1537-145X
SAP and the SAP logo are trademarks or registered trademarks of SAP SE in Germany and other countries.