Posted on September 2, 2019
Strengthening Databases With End User Automation
Data entry and management are core issues for many industries that utilize a large number of customer accounts, process client transactions, and maintain and update records.
With large amounts of data, even simple actions that might only take 5 seconds to do but must be done on 50,000 accounts quickly require a large amount of labor and costs to complete.
End-user automation of database tasks is the single most powerful tool a data manager must have to keep information costs low while performing those tasks with maximum precision. The best way to understand the utility and effectiveness of end-user automation is to see it in action.
Troubleshooting And Fast Turning
When errors or inconsistencies in the data arise or projects must be implemented with less time, end-user automation is the solution for both situations. You can browse https://dataautomation.com.au to know more about data automation.
For example, companies make acquisitions, add new staff to payroll; there is often little or no time for company acquisitions. Converting old payroll data into one system will require a large investment of time and money and delays in projects mean that workers will not be paid on time.
When policy changes occur in a service business, the customer's account or portfolio must be updated with new features or account alerts. With large clients, it quickly becomes impractical for knowledge workers to manually investigate each account, determine how policy changes affect this particular customer, and then accurately update the portfolio.
All of these decisions can be captured through end-user automation and the use of scripts and macros. Let's say the bank wants to update their fee structure and change the way the account is billed.
Having to go through each entry to determine the type of account, the changes that take effect, and then changing the account correctly is a time-consuming process even for small bank branches.
End-user automation will allow bank personnel to make some rules about account changes needed, create a quick macro, and then run scripts on their database. By doing this, users can accurately and quickly make global changes.