Spring has sprung! Along with reacquainting ourselves with the sun and seeing flowers and trees bloom again, many of us will partake in that annual ritual of cleaning our homes. Perhaps some of you got an early start by bingeing Marie Kondo’s “Tidying Up” on Netflix to finally get rid of that stretched-out Hard Rock Café Cancun t-shirt from spring break or the ticket stubs from that Hootie and the Blowfish concert. When you bag up that unused waffle maker or finally clean the crumbs off your keyboard (possibly with a Brushy!), don’t forget to apply the same principles to… Read more
In this post, learn how solutions like application data management and proactive and reactive data governance can help you solve data management challenges.
In this post in the Tim Woods series, learn the disadvantages of overprocessing data in SAP.
In this post, learn about the direct and indirect costs that stem from ERP data management challenges to the organization.
In this post, we discuss common data management challenges that come with operating enterprise applications, and how application data management can help.
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.
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.
Managing SAP application data is difficult – find out the benefits of using Winshuttle to streamline data collection, validation and movement.
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
Errors and omissions in master data can cause costly business interruptions. Here is a look at 6 common types of dirty data.