There is so much data for one company to handle in this day and age. From records to profiles to invoices to everything in between, managing it all can be a mundane task that can be detrimental to companies that spend too much time on this data. With data automation, however, many of these time-consuming commitments can be relegated to AI.
So how does data automation work? What kinds of businesses can work with it? And how can a company like Voiceflow make a difference to your company? Read onwards to learn everything you need to know about data automation.
Data automation is the process of automating data, so that a computer can process certain tasks rather than a human. The goal of data automation is to reduce the need and involvement of human labor in data-related projects so that companies overall become more accurate, efficient, and mistake-free.
The most common tasks handled by data automation include the following:
Data automation works in one of multiple different data types to perform tasks. Basically, data automation will Extract, Transform, and Load (ETL) data as a means to update it. Automation involves an AI system that is given a command and performs that command based on the rules that are applied.
Data automation can work across multiple data sources. This can include websites, apps, cloud servers, third party platforms, and APIs. There are typically no limits to where data automation can access and manipulate data, so long as it’s all within the company’s network.
Here are the most common ways that data can be automated by AI:
At Voiceflow, you can build a high-quality chatbot that can help customers schedule appointments, find vital information, and change memberships among other helpful tasks. This can all be done with APIs you can install in mere minutes.
Data automation comes with various advantages to benefit companies and give them a competitive edge over similar ones. Here are the notable benefits you can expect with data automation:
Data automation tools heavily rely on ETL to update data quickly. Companies like Voiceflow have the resources to provide data automation for other business, but in some cases, enterprise businesses such as Spokeo can create their own.
Here are some popular tools for data automation to consider:
Any company can be a good candidate for data automation, but the process especially works well with companies that heavily rely on statistics, figures, and numbers.
In retail, data automation works to update inventory and alert the company when stock needs to be replenished. When it comes to healthcare and insurance, filing claims need to be handled perfectly in order for the companies in question to receive money. Data automation works to prevent errors and reduce bottlenecking in the claims process.
Machine learning can take data automation one step further by allowing the AI agent to sense patterns and learn right from wrong when it comes to making decisions on its own. This type of learning can be done without programming skills and will ensure that the AI will deliver consistently good results.
Data automation reduces costs by simply reducing the time and resources that are needed for data-related projects. This allows human staff to relegate their work towards strategy, as the automation works to modify and fix data. This allows projects and assignments to finish faster, and in turn, more work will get accomplished in shorter time.
Want to explore how Voiceflow can be a valuable resource for you? Let's talk.
