Kofax TotalAgility brings cognitive capture capabilities to the hands of business analysts and non-technical users to solve content-centric challenges, including classification and extraction from financial documents, contracts, forms and other information-intensive documents. With it, the vendor says organizations can accelerate information intensive workflows by applying cognitive capture and artificial intelligence to unstructured data in order to automate and extract information and unlock…
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Tableau Desktop
Score 8.3 out of 10
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Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
The platform is an excellent solution for companies looking for a workflow automation system that can be used across departments and its return on investment becomes apparent once it is introduced in production for a business. Its ability to route work tasks dynamically between employees and outside parties, implement SLAs, and get information to a back-end source is excellent.
Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.
Ease of use. The drag and drop configuration to create the processes makes the product easy to use and configure. Most of the icons are intuitive on what they are and how to use them. The use of the colored icons for each value also helps to know that that value is looking for.
Forms. The capture forms are easy to create and maintain. A new field can be added to the Extraction group and then the capture form is regenerated and that field is automatically added to the form with all the proper attributes. If an additional check box or field is added to the form, that field stays when regenerated. This differs from KTA 6.0.
Kofax has done pretty well integrating all the pieces of Kofax into one product. KC (Kofax Capture), KIC (Kofax Import Connector), KTM (Kofax Transformation Module with OCR), and workflow are all combined into KTA (Kofax Total Agility). This lets all of these features work together in one product. Kofax does keep adding more to the functions that maybe were left out original version. This makes Kofax Total Agility a robust product.
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
Exception management within the platform can certainly be improved upon. If a job is suspended for any particular issue integrations can be put in place to attempt to handle them but it is kludgy and does not always work as anticipated.
The administration interface is based on Microsoft Silverlight which limits it to certain versions of Internet Explorer and the interface has seen better days. Their other application, Kofax Kapow, has a much more mature and intuitive interface. This supposedly is being replaced in the next major iteration but I have doubts it will be successfully done.
The product is expensive. It is also the Cadillac of workflow platforms with document transformation built in. In many cases the product can do what you want it to do but there may be other more cost effective platforms.
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
Kofax TotalAgility is a beast of a package that gives you a thousand ways to tackle a problem, but it may not be the best platform for your needs. It is more of an enterprise platform that integrates well with other systems with moderate development time. Other packages may be cheaper, easier, and faster to implement depending on needs.
If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
Kofax TotalAgility is very expensive. Some customers have reported that using the KTA workflow has increased productivity and has a good ROI overall. The customers have not shared true numbers for me to give details.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.
