Archives
Data Governance
Sep 20, 2017
Is GDPR an Opportunity or a Threat?
In this post, find out why GDPR is a great opportunity for organizations to get a better and deeper understanding of their data.
Aug 2, 2017
Data Governance and Stewardship in Enterprise Applications
In this article, learn the difference between data governance and stewardship, and why data governance is important to your digital journey.
Jul 12, 2017
Active data governance with Winshuttle Studio
In this post, learn how Winshuttle Studio can be used to implement active master data governance, and clean up bad data in SAP.
Jul 6, 2017
Why Data is a Strategic Asset in your Digital Journey
In this post, learn how trends like digital transformation and analytics are affecting organizations today, and how implementing data governance can help improve data quality and accuracy, allowing you to utilize data as a strategic asset.
Jun 26, 2017
Prevention is Better Than the Cure — For Us and Master Data
In this post, learn why it’s best to use a proactive approach to data governance, to ensure your SAP master data is correct the first time.
Jun 7, 2017
Solutions to Data Challenges in Enterprise Applications
In this post, learn how solutions like application data management and proactive and reactive data governance can help you solve data management challenges.
May 24, 2017
Tim Woods Series #6: How to Avoid Overprocessed Data in SAP
In this post in the Tim Woods series, learn the disadvantages of overprocessing data in SAP.
Apr 5, 2017
Tim Woods Series #3: What Keeps Your SAP ERP Relevant? Data Movement
n this 3rd post in the TIM WOODS series, learn how data movement affects the quality and integrity of your SAP ERP system.
Nov 23, 2016
7 Secrets to Achieve High Data Quality
Running a high performing SAP/ERP system requires high quality and complete data. In this post, learn about the 7 secret attributes of high data quality.
Oct 12, 2016
Is Good Data Quality Part of Your Big Data Strategy?
Bad data costs US businesses $600 billion dollars a year. Find out how important high data quality is to the organization & steps you need to take to achieve it.