We performed a comparison between EdgeVerve AssistEdge RPA and IBM Datacap based on real PeerSpot user reviews.
Find out in this report how the two Robotic Process Automation (RPA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Good email automation and XL automation."
"The tool follows a role-based working model to create things. It helps to track what others are doing with the system."
"AssistEdge made it so that the reps didn't need to maneuver through 10 or 20 different systems. We tied all that together in the background, so the reps had a shared UI, and everything else happened in the background without their knowledge. When they were retrieving data, it was done in the background through automation and pulling up to that generic UI layer"
"The most valuable feature is its ability to capture data, which changes all the time into different formats."
"The installation of the solution is very simple."
"There's something that's very unique about IBM DataCap. It provides me with a good solution for extracting, reading the QR codes, and scanning them. In this stage, we are working in a UIT phase before implementing this protocol in all our branches. From my initial observation, IBM DataCap is good, it is not working too fast, but in a good manner for us."
"The standout feature of this intelligent product is its remarkable capability."
"Very scalable and stable data capture and extraction solution that's very simple to install."
"It's a platform, not a configured application, so you can do what you want with it."
"At the forefront of my thoughts, the standout feature of this intelligent product is its remarkable capability. This project we're currently engaged in revolves around streamlining workflows within both our company and the customer's company. It entails handling information from various documents with diverse formats and types, even when they contain the same data. The ability to connect this information with the appropriate database and recognize it irrespective of the format or source is an extremely valuable feature. Moreover, leveraging machine learning is crucial since our customer deals with an extensive archive of over five million documents. Machine learning can significantly alleviate the backlog by becoming well-versed in various scenarios they might encounter during their work once we've completed our application."
"The feedback from our clients that this solution has increased their efficiency and their turnaround time on opening any account for end users, thus attracting more customers."
"The tool's alternatives work on drag-and-drop functionality without creating custom code. We don't have an in-built queue system and use RabbitMQ for it. The solution also doesn't have a framework."
"Lacks integration with third party tools."
"AssistEdge isn't a simple tool like Blue Prism or other RPA solutions with configurable items that you can drag and drop. This involved a lot of hard coding, which posed two challenges. One, we did not have that skillset, so we depended on Infosys. Two, it's a beast to go back and update or make changes when things are hard coded because you can't just move those configurable items back around."
"Speed of OCR is one issue. It's a challenge because we have customers that have millions and millions of pages that they want this solution to crank through. In order to do that you have to have a large infrastructure in place, and that directly impacts licensing based on the core count."
"We have page requirements where some values must be copied on each page. For example, say I need to scan a bunch of documents, and the name will be a field on every page. We don't have a default functionality in Datacap to copy the field value on the first page to all the pages. That feature would make the documents easy to prepare."
"Recognition between certain numbers and letters could be improved. Sometimes this solution misreads five with an "S" for Singapore."
"I've faced some bugs or issues. They should do deeper testing of the product before releasing it because some of the bugs that I found were a bit simple. I understand that it is a massive product, and some of the functionalities can get overlooked."
"Going forward, IBM needs to ensure that the output is perfect (as it can make the product) while staying true to platform's core."
"Datacap's technology seems a little behind the industry. It's still using the old .NET framework. They should move to .NET Core and start integrating some machine learning. You can do some integration yourself, but you expect a solution to include the latest machine-learning approaches if you're paying reasonable money for it."
"Currently, when you are entering invoices, you have to enter multiple rows. In Captiva the multiple rows will be dynamically added. This would be a beneficial feature for IBM to add."
"The solution's scalability needs improvement."
EdgeVerve AssistEdge RPA is ranked 28th in Robotic Process Automation (RPA) with 3 reviews while IBM Datacap is ranked 6th in Intelligent Document Processing (IDP) with 26 reviews. EdgeVerve AssistEdge RPA is rated 6.6, while IBM Datacap is rated 7.6. The top reviewer of EdgeVerve AssistEdge RPA writes "The support team was great, but we had to rely on them too much because it lacks a drag-and-drop interface and everything is hard coded". On the other hand, the top reviewer of IBM Datacap writes "The ability to connect this information with the appropriate database and recognize it irrespective of the format or source is an extremely valuable feature". EdgeVerve AssistEdge RPA is most compared with UiPath, Automation Anywhere (AA), Blue Prism, Microsoft Power Automate and Pega Robotic Process Automation, whereas IBM Datacap is most compared with ABBYY Vantage, Microsoft Power Automate, Tungsten TotalAgility, HyperScience and OpenText Intelligent Capture. See our EdgeVerve AssistEdge RPA vs. IBM Datacap report.
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