Archives
Data Management
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.
May 11, 2017
The Impact of ERP Data Challenges to Your Organization
In this post, learn about the direct and indirect costs that stem from ERP data management challenges to the organization.
May 3, 2017
Common Data Management Challenges in Enterprise Applications
In this post, we discuss common data management challenges that come with operating enterprise applications, and how application data management can help.
Apr 19, 2017
Tim Woods Series #4: How Long Are You Waiting for Customer, Vendor or Material Data in SAP?
In this 4th post in the TIM WOODS blog series, find out how you can stop waiting on IT to create LSMW scripts, and increase efficiency with Winshuttle.
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.
Aug 17, 2016
How Should You Collect SAP Application Data?
Managing SAP application data is difficult – find out the benefits of using Winshuttle to streamline data collection, validation and movement.
Jan 16, 2015
Making deliveries just right
My colleague Kristian Kalsing wrote a blog in 2013 that used the analogue of buses and trains to describe the challenge of moving people around. In the context of moving data around the organization, I thought I would extend that concept further to embrace the ideas around trucks, trains and simply delivering things. If you’re responsible for shipping and logistics, you are typically responsible for planning and extending transportation services for goods haulage. Planners in large organizations frequently face the problem of having millions of items of all shapes and sizes that need to be shipped from one or more locations… Read more
May 19, 2014
The 6 Common Ways Dirty Data is Created
Errors and omissions in master data can cause costly business interruptions. Here is a look at 6 common types of dirty data.
Mar 26, 2013
Standards-based data collection
A consistent experience is the mainstay of running an effective ERP system. Part of the rationale for implementing ERP is a unified view of data objects and processes in flight within the business. Centralizing your data processing to a single or a few systems eliminates some of the inconsistencies and churn associated with servicing different data demands of data platforms. In this vein, several overarching objectives flow from taking on the goal of standardized data collection approaches. Consistency Whether your business unit focuses on buying, making, storing or selling materials, the inventory or material master is the mainstay of reference… Read more