In order to take advantage of the key features of data automation solutions, it’s important to know what they are. Here are some of the main features of data automation solutions that you and your teams should be aware of and utilizing.
Key features of data automation solutions
Within your data processing systems, you can implement automated data processing tools that offer numerous features and benefits.
There are a few different ways in which data can be automated, including:
ETL
Data automation solutions enable you to upload, handle, and process data from different sources through extracting, transforming, and loading (ETL). The data is then loaded into systems that end users can easily access and work in daily.
Both structured and unstructured data can be automated and used across various sources, like cloud-based data sources, internal and external databases, and data from third-party apps, websites, and APIs, making it almost universally accessible.
Scheduled
Every organization has data-centered tasks that need to be done regularly. These set tasks can easily be scheduled to run without the help of manpower. You can set these data automations to run at specific, regular times or intervals. The options are endless, but one example of scheduled data automation is running nightly reports on each day’s results.
Triggered
Through triggered data automation, you can set up parameters that initiate designated actions after a specific event has occurred.
For example, perhaps you’ve set up data automation to work with online purchases. Once a customer has made an order (which is the trigger or event), you can set up data automation to send an email out with details from their purchase (the action), including their payment method, what they purchased, the order number, shipping information, and more. Everything was set up to quickly send important order information to the customer.
Streamed
In real-time, raw data can be processed through a streaming pipeline, making this the perfect option for those who need to work with instantaneous information updates. From social media to finance, polling to sales, these insightful, live analytics are extremely beneficial to understand real-time actions. It’s imperative for many industries to have live updates of inventory, purchases, location, stats, and much more.
For example, transportation services have smartphone apps that are set up with data streaming to share real-time updates on ride requests for the driver, how close the driver is to the requester, how long the wait time is, and more.
Additional features of data automation include:
Workflow automation
By automating certain tasks, workers are able to tackle other projects.
Orchestration
Data orchestration coordinates data-related tasks in the order you need them executed.
Visualization
Using data automation, updating dashboards and data models is no longer an issue with its accurate, up-to-date information readily available.
Data mapping
Data mapping enables companies to comply with regulations involving the collection, processing, storage, and sharing of personal data.
Security
By using automated data solutions, data storage and data encryption are more secure.
Customization
By using helpful filters and other features, dashboards can be customized to display data according to the end users’ needs and wants.
Quality
Data automation solutions effectively clean up data, avoid human error, and keep data accurate and up-to-date. When data is reliable, insights are accurate and better decisions can be made.
Certain Features of data automation solutions can help your business
The features of data automation solutions like Popdock offer numerous features that free up employees’ time and bridge the communication gap between companies and their customers as it provides important information updates. It can help your business increase efficiency as it supports decision-making and improves communication among teams and customers alike.
To learn more about data automation, read “The Best Data Automation Software” and “Benefits of Data Automation.” And while you’re at it, learn about automated data processing.