We recently did a Datacap implementation for a client, and we used its functionalities to do a separation of the documents and automatically capture some fields from the documents that the client wanted to extract. Before that, the software they were using wasn't optimized to do that. They were manually doing the separation of the documents and capturing the values of the fields. With Datacap, the process is automated, and they can now just validate if the captured data is correct and if the separation is correct. After it is implemented for some time, it creates a database. So, it separates automatically more over time, and the program in the background validates everything. For most batches, the operators don't waste much time on this process. Previously, they used to waste plenty of time separating the documents manually. After that, they had to write the data from the documents. The data was then sent to another platform, such as FileNet, for further use by another department. 

We used its advanced optical character recognition (OCR) capabilities to extract information from the documents to save the time of our knowledge workers. They didn't have to do the tasks manually.

IBM DataCap makes it easier for the end-user to retrieve all documents related to our customers in a very simple way by using the defined metadata.

Firstly, we define the required data which will be extracted and included in the QR code, these data called metadata or attributes, these attributes are used for identifying each document. 

Then we define each document with it is name and defining the QR code location to be defined by  DataCap  during the scanning process 

We implement and support solutions built on Datacap for our customers.

The solution has improved digitalizing all the document process

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.

Datacap provides remote users with the ability to scan documents using some plugins. Internal customers can scan their documents and define their workflows, like where the document needs to be sent and how it needs to be indexed. That is one thing I like about Datacap. Several documents get scanned during the day, and they come from agents, drivers, internal workers, and customers. 

While we are doing indexing, we tag the document type. It's programmed inside of Datacap to automatically detect the document based on a given template. It auto-indexes that document, which means that it automatically tags the correct document type to the scanned document.

For the customers we work with as a partner, a lot of times the solution is geared at introducing efficiencies for the mailroom. If you think about an insurance company, where they're getting a lot of paper coming in, they traditionally have to scan it and have someone sit there and key from that image. 

Datacap can take a document, maybe not having seen it before, and can classify it automatically. It can do OCR, extract all the data from it automatically. With it, they're really introducing real cost savings because the documents go straight through, don't have to be touched, handled as much, can go to the back-end systems more quickly. There is real efficiency that gets introduced through technologies like Datacap.

Datacap's main advantage for the user is the validation part and its ability to implement any kind of page. Say, for example, we have a scenario where a financial company is processing many loan documents. When they scan a page through our application, it'll automatically detect based on the page identification. Datacap matches the text according to the application settings, and it works quickly.

As a partner, 60 to 70 percent of the organizations we work with are in the financial industry: big banks and mortgage lenders. We find that we bring them a solution for separation of what they call "blob documents," large PDFs that contain anywhere between 100 and 200 document types. They want a solution to crawl through those documents, to break them apart, to understand the boundaries of the documents and identify them and, after that, to extract information from those documents.

We don't use it internally in the organization. We link into it and expose it to customers. Generally, it hasn't change the way we work, but we hope it will change the way our customers interact with us.

We use a lot of in-house ECM solutions and a lot of different technology solutions. We have our own CRM system. As far as Datacap and FileNet go, we scan in a lot of our documentation and have a lot of automated workflow structures for building RFPs in the government sector. Therefore, we can take a lot of information and scan it in, then it can tell us the differentiation in documents, etc. We try to be as paperless as possible. It's mostly digital these days. 

I'm working with the Connecticut State Troopers right now. We're implementing a Datacap and FileNet system for them. Their goal is to have their sex offender registry unit:

• They have about 120 to 150 mailed letters that come in every month or within a cycle of three months (90 days). 
• They have to tell people the location of theses individuals, where they are, what they're doing, and if they're still in the same location.
• They have to track and make sure that no one is being harmed by these individuals who have committed crimes.

Thus, we have integrated a system, which should be going live in the next few weeks for them. The Datacap and FileNet systems will work in tandem together to pull the information from the letters, mailing, and forms which have been sent out for the sex offenders into the system. Everything will be an automated workflow structure so they don't have to hire ten people to sit there and type in all the information or scan the information in and still have to type it. It should automatically pick up a lot of the details which are already on the documents, then be able to flag specific individuals, and tell the people who are working at the state trooper facility, "We need to check up on this person. This person moved."

This is one specific example that I could give you as far as the benefits go. It's a lot of time and money saved, and ultimately, it protects more people, because there is less human error. If someone is typing in the information and they screw up, it could be detrimental and somebody could end up getting hurt in the process. So, there are a lot of different perks to it.

We are using data in flat files or XMLs and importing it directly into our database, or exporting it to clients who can process it and do insurance verification.

We are thought leaders in the capture and imaging space. What we do is we help companies figure out how to use advanced imaging techniques, processes, best practices, and other tools, such as ODM or RPA. Our goal is to generate as much highly valuable output as possible.

The solution can be used to input data and track different items. IBM Datacap can be used in any organization that previously used hard copies of data. We can scan documents for information and input them into the software for tracking purposes.