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Ease of Data Capture: Users have appreciated the system's seamless data capture from various devices such as scanners, faxes, and emails in different formats, making the process efficient and user-friendly. This ease of capturing data has streamlined workflows for many users, allowing them to quickly input documents without encountering technical obstacles.

AI-Infused Intelligent Processing: Reviewers have highlighted how the AI-infused intelligent processing in the system enhances document capturing capabilities by effectively handling complex and unfamiliar documents from both cloud and on-premise repositories. The integration of artificial intelligence technology has significantly improved accuracy and efficiency in document processing tasks, leading to increased productivity for business users.

Redaction Based on Role: Users value the feature that allows data to be redacted based on requester roles, enabling them to block irrelevant or sensitive information according to specific user specifications. This functionality not only ensures compliance with privacy regulations but also provides a tailored approach to managing confidential information within the system.

Mobile Devices Issues: Users have experienced slowness and device hangs when using IBM Datacap with tablets and smartphones, especially with outdated smartphone versions causing frustration in their workflow efficiency.

Image Difficulties During Processing: Users have reported that image capture through the IBM Datacap mobile application can hang during machine learning processing, leading to significant delays in completing tasks efficiently and potentially impacting overall productivity.

Poor Documentation and Complex Customization: Customers have criticized the poor quality of supporting documentation, mentioning that creating customized flows is not always straightforward, resulting in additional time spent troubleshooting configurations and hindering seamless implementation.

IBM® Datacap helps users streamline the capture, recognition and classification of business documents and extract important information. Datacap supports multiple-channel capture by processing paper documents on scanners, mobile devices, multi-function peripherals and fax. It uses natural language processing, text analytics and machine learning technologies, to automatically identify, classify and extract content from unstructured or variable documents. The software can reduce labor and paper costs, deliver meaningful information and support faster decision making.

Tipalti automates critical financial processes to drive efficiency, including accounts payable, mass payments, procurement, and expenses, all on one global finance automation platform that grows with the organization, automating, de-risking and simplifying finance.

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Laserfiche Avante is an ECM suite for small to medium organizations with fewer than 100 users. It combines content management with workflow tools that automate business processes. Built on the Microsoft platform, Laserfiche Avante allows users to drag and drop e-mails from Outlook® into Laserfiche.

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IBM is a global technology and innovation company headquartered in Armonk, NY.  It is one of the largest technology and consulting employers in the world, with approximately 427,000 employees serving clients in 170 countries. IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and advanced servers and supercomputers. Utilizing its business consulting, technology and R&amp;D expertise, IBM says it helps clients become "smarter" as the planet becomes more digitally interconnected. This includes working with organizations and governments to build systems that improve traffic congestion, availability of clean water, and the health and safety of populations. IBM invests more than $6 billion a year in R&amp;D, just completing its 18th year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame. The company was behind the inventions of the PC; SABRE travel reservation system; UPC codes, Watson, the Jeopardy!-playing computing system, and much more.

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GoTo Meeting

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Slack

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IBM Datacap 2021-10-29 10:29:26

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IBM Datacap 2021-10-12 08:22:19

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Intelligent Document Processing Systems

We shifted from traditional document capture methods to IBM Datacap since it offers intelligent cognitive capture capabilities, which are robust and accurate. I don’t know if IBM Datacap is being utilized across the enterprise, but in Engineering department, we highly rely on it to automate processing of complex and unknown documents.

It eases data capturing from multiple devices such as scanners, faxes and emails in all formats.
AI-infused intelligent processing gives business users opportunities to capture complex and unknown documents from cloud and on-premise repositories.
Exporting documents to other applications is just by a one-click.

Even though IBM Datacap has enriched mobility and allows users to capture data with tablets and Smartphones, it tends to be slow and makes the devices to hang, mainly when using smartphones with outdated versions.

Enriched mobility support: IBM Datacap allows business users to use Smartphones and Tablets to capture documents. However, they need to have latest versions in order to make it easy to capture documents.
AI Intelligent capture: with availability of machine learning on IBM Datacap, it is easy and effective to capture, classify and extract data from complex and unstructured documents.
Data redaction based on user roles:- In regard to requester specifications, IBM Datacap redacts data to make sure it doesn’t offer what the user don’t want; mainly sensitive business data.

We have protected and safeguarded business information by redacting documents to ensure that confidential data doesn’t reach to irrelevant business users or cyber attackers.
Business procedures automation has been enhanced by IBM Datacap as part of the Cloud pak, which eases workflow and decision management.
Being based on modern modular, IBM Datacap allows us to pay for what we use, thus no losses are encountered.

Traditional methods of capturing documents tend to be hectic to use when processing complex and unknown document formats from external sources like emails and scanners. IBM Datacap is being used across all company departments to capture documents from faxes and emails as digital files and process them to modern formats.

Machine learning automates document processing from external applications and sources like scanners.
Exporting data with just a click to other content repositories.
Redaction of data based on requester role. Therefore, we are able to block irrelevant or sensitive information based on the specification of users.

Availability of a success team that offers free support during and post-implementation ensures that I am free from issues always. Therefore, whenever I need something I just call or email the customer support team.

Smartphone and tablet support: with this enriched mobility, users are able to capture, validate and submit documents from anywhere with smartphones and tablets.
Advanced document recognition: this is used in RPA to improve workflow automation by integrating it with Automation Anywhere.
User role-based data redaction is another feature that protects sensitive data from landing to wrong recipients.

IBM Datacap has brought a new level of insights that improve business process automation.
Document management in one integrated solution reduces operational costs and time by logging only in a single solution.
By capturing data in the cloud, we are able to improve data governance.

Ephesoft Transact, SAP Analytics Cloud, Oracle Access Management

Classification and management of business documents are vital in every organization to enhance smooth workflow. IBM Datacap is the main tool being utilized at COTA to capture, automate data processing, and export to other repositories.

Capturing data and storing it in one integrated solution from other applications. It is easy to input documents from scanners, emails, and other digital files like PDF.
Once data is processed at stored in IBM Datacap it is easy to export to other repositories
Artificial Intelligence available on IBM Datacap automates data processing that is hectic to capture so ad they can be better understood by business users and machines/systems.

Image capture through IBM Datacap mobile application hangs when machine learning is processing metadata.

Intelligent Processing capability on IBM Datacap has improved data analysis.
Document processing: This feature makes it possible to support any file assortment from PDF, TFF, DOC to JPG.
Data Extraction: eases processing of data and information from semistructured and unstructured data repositories.
Wide array OCR Support from Linux, PC and MAC

Data processing and AI-infused intelligent processing puts data into a format that is known by every business user.
Data input from multiple devices and applications to Datacap ensures data is always available.
Third-party applications integration makes it easy to export documents without facing difficulties or IT procedures.

WhatsApp Business, Concur Invoice, Teamwork

We currently use IBM Datacap across the whole organization to ingest documents that are formatted and also with relevant data.

Sometimes its documentation is poor
Creating customized flow [is] not always straight forward
Support from IBM could be better and faster

It's able to scan documents in [IBM] Datacap and upload them to file net with minimal steps
It has amazing nice bar detection

Accounting checks and balances
Also being able to extract data from all content and creating searchable pdfs has been so nice in our business processes

Microsoft IIS, Microsoft Azure, UiPath Process Mining (formerly ProcessGold)

We currently use Datacap to ingest standard formatted documents and free text documents, identify these and label them and extract relevant data. Development is limited to one team, but all incoming mail, email and snail is routed through it.

Supporting documentation is poor
UI is old fashioned

Increased productivity.
Better adherence to compliance as all documents are read and understood in the same way.

Microsoft Visual Studio Code, UiPath Enterprise RPA Platform, Microsoft IIS

IBM Datacap

Overview

What is IBM Datacap?