The amount of data that flows through your organization continues to grow, fueled by big data technology, the Internet of Things, and other sources. You’re not struggling from a lack of data, but you’re not getting the most out of your available information. Data quality suffers when you’re working on legacy systems, such as Power i AS/400 solutions because the walls that exist between this technology and the rest of your organization results in duplicated data, human errors introduced in data entry and other inefficiencies.
How Can Digital Transformation Help?
The primary reasons behind data quality issues stem from too many versions of the same sets. If you have departments that have their own sets of data, working with external partners and other teams, then they have to spend time coming to terms on a single version of the truth.
A lot of time gets devoted to checking that everyone is working with the same files, that changes are made to multiple locations, and documents don’t languish in out of the way network sites or in email inboxes.
Everything becomes more difficult and time-consuming because you have to keep these problems in mind every time you work with your data. It should be the best asset for your business, but it ends up becoming a liability.
A digital transformation breaks through the dividing walls that stand between teams, projects, departments, partners and everything else in your organization. Data can be pulled from your Power i AS/400 systems into other solutions, allowing you to access the base set without worrying about data entry errors or an outdated database.
You cut down on the time spent for updates, make it easier to access vital information and open up your existing legacy solutions for the entire organization. The back and forth process involved in getting information between departments is eliminated, giving your people more time to focus on their job duties.
How to Address Existing Data Quality Issues
Digital transformation primarily helps your company moving forward. It won’t immediately undo the years of issues created by data silos. However, you can get a significant amount of assistance from new solutions so you can streamline the process of fixing bad data.
Deduplication can be automated through a system that understands the proper data priorities. The solution can compare the latest version of the data to every duplicate, bringing sets up to date and deleting the overhead in your databases.
Another way you fix your current data dilemmas comes from easier access to the information. You may need human eyes on some of the data to make sure that the changes match expectations. Through easier access to the affected systems, your quality assurance staff can decrease the time they spend double checking the automated work and making sure that the rights rules and filters are in place.
The last major way digital transformation helps in this area is by deleting old or incomplete records. You don’t have to manually go through millions of pieces of information to remove those that are no longer applicable to your company. The reduction of database overhead not only makes everyone’s jobs easier, it also improves overall performance of the systems.
Written by Grant Sojnocki
Grant Sojnocki, President of Able-One Systems, has extensive experience in executive and leadership roles at innovative technology companies such as IBM, Arrow Electronics, Neopost and Avnet. His positive outlook, passion and creative thinking skills serve him well when it comes to digital transformation, allowing him to deliver high-value solutions to Able-One Systems' clients.