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 your work, specifically to your data.
So, does your SAP data spark joy? Is it accurate, complete, and timely? Or is it riddled with duplicates, missing data, inconsistent, outdated, or just plain wrong? While having a cluttered home may only affect your ability to find your high school yearbook that you tucked away somewhere, bad SAP data can have much more serious consequences. It may cause lots of man-hours wasted to manually hunt and peck to find and correct the bad data; it may affect your ability to take advantage of discounts; it may make you miss a key launch date for a product; or even yet, it may end up causing you governmental fines, which is not only a hit financially, but can lead to tons of bad PR.
So why not use this change of seasons as a fresh opportunity to take a look at the quality of your SAP data? By using the Query module of Winshuttle Studio, you can easily identify which of your SAP objects are affected by bad or missing data, or what data may be duplicates. Once you have that bad data on hand, you can use the Transaction module of Winshuttle Studio to clean up that data by adding the necessary data, correcting the data with the right values, or marking duplicate items for deletion. Keep in mind you can also schedule data extracts to run on a regular basis in case you are running into lingering data quality issues.
To keep your data in an ever-joyful state, consider some active data governance to ensure that your data gets created accurately the first time, so that having to correct it is not necessary. Studio can be leveraged to build in some business rules by using functionality such as list of values, required fields, If conditions, fixed values, and validations. You can further leverage Excel functionality in combination with the Studio script to help enhance data quality. For more complex data governance, Winshuttle Foundation can be used to fully manage the entire SAP data creation process, with sophisticated business rules, intelligent workflows, and approval cycles.
So find that bad SAP data, give them a figurative hug, thank them for their service, and then Winshuttle them away!