When it comes to managing everything data-related, more and more businesses are implementing automated data processing to improve how they work with their data.
In previous installments, we talked about what automated data processing is and highlighted some of its many benefits. Now let’s look at how implementing automated data processing works, along with highlighting our recommended tool.
How to implement automated data processing
As data demands on employees continue to grow, manual entry, management, storage, cleaning, and analysis of data become less feasible. This avalanche of data continues to increase momentum, making it impossible for workers to keep up. In order to stay up to speed, implementing automated data processing is a necessity.
Automated data processing systems offer important features to maximize your company’s efficiency, workflows, and data processes. From data collection to entry, cleaning to validation, every company works with data to some extent, and the more accurate your data is and the better you understand your data, the more successful your business can be.
This is why it’s crucial that your data isn’t riddled with errors. Even slight errors, missing values, duplicates, and inconsistencies can greatly impact customer relations and the insights you can glean from data collection and reports.
These systems aren’t just for large businesses. They can help businesses of all sizes and industries reduce their costs, improve data quality, security and reporting, increase efficiency, break down data silos among departments, and improve customer relations.
The following guide can help you get started with implementing automated data processing.
How to implement automated data processing
In order to carry out successful automated data processing, you need to know what steps you need to take throughout the process. Follow these steps for a seamless implementation:
Identify problems: First things first. You need to determine what areas are causing problems, bottlenecks, and frustration in your workflows and processes. What areas can be improved by implementing automated data processing?
Prioritize needs: What are your most important, necessary, and time-consuming tasks and processes? Begin by automating the most pressing needs.
Outline transformations: By outlining the necessary data transformations from source to target, you can ensure data integrity and accuracy are maintained.
Identify source systems and sort data: Where are you getting your data, and on which data are you most reliant? Sort your data and identify source systems. You need to make sure the tool you choose is compatible with your systems.
Decide on a tool: Get together with your team and decide what the most important features you need in an automated data processing tool. Choose the data automation tool that meets your needs.
Schedule data updates: Make sure your data stays up to date by scheduling updates through your automation tool. By automating these updates, you no longer have to worry they will be forgotten or skipped.
Review and optimize: Assign specific people to frequently review your automated processes. This will keep data and processes efficient, accurate, and reliable and help your team understand when adjustments need to be made.
Provide training: Make a list of everyone who will need to use the data automation tool and automated systems and provide helpful training for them. This will provide clarity and help daily processes go smoothly.
Scale gradually: Start by automating a few tasks and processes first (the most pressing). As you get comfortable and refine those processes, you can start automating more from your list.
Determine your process
Now that you know what the big-picture game plan should look like for implementing automated data processing, it’s time to get more specific. Before you choose the tool for automation, you need to determine what needs to be automated.
Considerations for which tasks and processes should use automated data processing:
- What areas do you have the highest data volume?
- What manual tasks are repetitive and time-consuming?
- What tasks involve numerous steps?
- What processes run frequently (at least once a month)?
- What processes involve multiple data files as inputs, outputs, or interim files?
- What tasks and processes still involve data from legacy systems?
- What processes often produce errors because of manual entry?
- In what situations are you using data from multiple sources?
- What areas need data updates frequently?
- Where and when does data reformatting need to be done before processing or uploading the data to your system?
After you and your team have answered these questions, you should have a good idea of which tasks and processes can and should be automated.
Next, decide which tool is right for your automated data processing.
Determine your process
When deciding which automated data processing tool is right for your business and teams, it’s important to take a look at each tool’s user-friendliness, functionality, support turnaround, and the value of each system in question. Consider a tool like Popdock, which offers:
Low-code/no-code solutions: There’s no need to hire an IT specialist. These tools offer low-code/no-code solutions that provide easy, user-friendly, and fast implementations. You don’t need to be an IT specialist to use these tools.
Compatible data source integrations: Choose a tool that offers comprehensive data source integrations and one that’s compatible with the systems your teams need to use.
Easy drag-and-drop functionality: When tools feature user-friendly, drag-and-drop functionality, you can easily modify the design of your dashboard. This makes working in your systems even faster because everything you need is at your fingertips, just the way you like it.
Extensive ETL capabilities: Look for tools that enable you to easily and efficiently carry out data extraction, transformation, and loading.
Reporting and analytics features: Tools like Popdock have built-in reporting and analytics features that give you powerful insights into your data.
Why choose Popdock as your automated data processing tool?
Implementing automated data processing provides important and effective features and benefits to your workflow, processes, and success. Automated data processing tools like Popdock offer numerous features that free up employees’ time, bridge the communication gap, and provide reliable reports.
With Popdock, you can connect to any application, combine data from different sources, customize your reports, and discover real-time answers to your own questions—without needing help.
eOne offers the only no-code iPaaS that delivers virtual and physical data integration. In the world of cloud apps, both are vital. eOne is scalable, 100% configurable, and AI-ready.
Easily display real-time data from one system within another, even embedded in your CRM or financial system. You no longer need to make complex mapping and waste cloud storage. When you have efficient and insightful data, you can make better decisions and never miss a sales or support opportunity. Conveniently manage reports, visualizations, and take action without waiting for IT or a developer to step in.
Popdock also saves you money by allowing you to report on data when you need it and where you need it. When you do need to view old data from years past, Popdock makes it easy to access it quickly and painlessly.
Help your business increase efficiency, enhance decision-making, and improve communication with Popdock.
Ready to learn more?
Are you ready to streamline data-related tasks and learn more about implementing eOne tools for your automated data processing solution?
Contact our sales team at sales@eonesolutions.com or call 888-319-3663 ext. 1. We will be happy to show you how Popdock can implement ADP for your business and maximize your daily work processes.
