PALO ALTO, CA — March 26, 2014 —Aragon Research, a technology-focused research and advisory firm committed to providing thought-leading strategic research and trusted advisory services, released its Digital Transaction Management: The New Way Ahead for Digital Business report today. Aragon predicts ‘DTM’ to be one of the fastest-adopted business transformations in history surpassing Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) with 70% of large companies implementing DTM as a business imperative by the end of 2016. DTM is expected to grow faster than nearly every business category (except tablets), with category revenues estimated to grow from USD $500-700 million in 2014 to $30 billion by 2020.

“Digital Transaction Management is so powerful for driving business benefits that this isn’t a matter of whether enterprises will embrace it, but when,” said Jim Lundy, CEO and Lead Analyst, Aragon Research. “The most innovative and progressive organizations have already implemented DTM and are now expanding use cases beyond their initial deployments. We predict DTM will be a strategic imperative for the vast majority of organizations large and small by 2016.”

As an emerging category, Digital Transaction Management (DTM) is defined as a business application using cloud-based software and services to automate and streamline internal and external document-centric business processes. While DTM is most closely associated with eSignature today, it also encompasses many other transaction processes.

Aragon defines DTM seamlessly and securely combining nine major digital elements:

  1. Automation/Workflow. Automates and controls transaction processes. This includes workflow that can be configured by a business user.
  2. Assembly. Manages the creation, assembly and delivery of data and documents into and out of key applications and processes.
  3. E-Signatures. Enables parties to securely sign a document.
  4. Agreement Collection and Management. Supports collection of digital agreements.
  5. Identity. Provides identity proofing for all participants.
  6. Application and Services Integration. Integrates key applications and cloud based document sources.
  7. Secure Transaction. Provides a centralized secure transaction center.
  8. Audit History. Full, tamper-proof audit trail of transaction that meets evidentiary standards and is admissible in court proceedings.
  9. Enterprise Administration & Control. Enables enterprise provisioning, permissioning, management, and reporting.

Digital Transaction Management: The New Way Ahead for Digital Business identifies a series of trends driving widespread DTM adoption, including the growing focus on customer experience as a competitive differentiator. DTM delivers significant ROI via both hard and soft dollar savings.

“Few technologies have the ability to transform every aspect of how a firm achieves measurable success,” furthered Lundy. “Based on our estimated cost savings of $5 to $100 per document, return on investment from DTM will reach tens of millions of dollars annually for the largest organizations, depending on the company’s current processes and use cases addressed.”

Individuals interested in reading the full Aragon Research report on Digital Transaction Management may visit the special report on Digital Transaction Management.


About Aragon Research

Aragon Research is the newest technology research and advisory firm. Aragon delivers high impact research and advisory services to provide enterprises the insight they need to help them make better technology and strategy decisions. Aragon Research serves business and IT leaders and has a proven team of veteran analysts. For more information, visit

Announcing awards for Vodafone and 3 Italy in the second edition of the Innov@tion Retail Award, the award sponsored by Accenture and Gruppo 24 ORE and reserved for companies that operate in the banking, insurance, retail, fashion and telecommunications.

Each year we select projects that, by using innovative digital technologies, help to improve the quality of service offered to customers. In the 2014 edition, the jury - chaired by Luca Tremolada, journalist of Il Sole 24 ORE – reviewed projects submitted by 120 companies. Vodafone was awarded for the project Vodafone Smart Retail Store, in the category of Best Technology Innovation – Best Customer Application. They were recognized for the ability to integrate, through its own stores, innovative solutions in the sales process and customer service: electronic signature, new app for tablets for order entry and new ways of searching data from a PC or tablet.

And 3 Italy received recognition for Best Format Innovation for the project 3Store, in the category Best Store. The company has been recognized the effectiveness of the format in terms of innovation, functionality and services offered in their stores. As pointed out by Dina Ravera, director general of 3 Italy, “The 3Stores are characterized by a high level of competence of the personnel on the latest technology and infrastructure for centralized digital communication. No more posters but a number of monitors connected in a network and staying up to date with new offers, sales network 2.0 consisting of 1500 single-brand stores in a pattern inspired by the Green-Economy “

Signature Verification

The major advantage over other signature verification solutions on the market today is that our technology is able to compare a signature against a profile which is self-learning over time. Only this approach guarantees appropriate results for signature verification and authentication, respectively, because it is human nature never to sign twice in exactly the same way, and also to alter the signature constantly over a life-time.

A comparison with only one sample signature is mathematically much easier to handle, and thus some companies offer essentially inaccurate solutions. These “low level” solutions merely pick one random signature as a basis for the comparison. This approach only works for people who always sign in exactly the same way. Most human beings do not behave like that, and thus this approach is simply not feasible for a broader usage of that technology. Anyone can easily prove this by asking 10 random people to sign 6 times in a row, on a blank sheet of paper, in order to see how different most of these signatures are.

A more sophisticated but still not satisfactory approach is to build a solution which takes several signatures – a profile – into consideration at the time of real-time comparison, but still using a static profile which is not self-learning. This will deliver, at the start, better results than a comparison with just one signature, but the comparison will get less and less accurate over time. This will happen for nearly 100% of human subjects.

To summarize: only the xyzmo SIGNificant approach – based on self-learning profiles – really works in the long run with sufficient accuracy. The SIGNificant Biometric Server takes the ability of self-learning profiles one step further, by using a sophisticated algorithm when building a signature profile, initially by recognizing if such a profile is of sufficient quality or not. In particular, when people sign for the first time on a signature pad they change their signing behavior a little bit, and adjust it after they get used to this new technology, or new way of signing on a signature tablet, until it becomes the “usual” way. Thus it is business-critical to take more than 2 or 3 samples for each profile and, on top of that, to check by intelligent algorithms if these profiles are a robust base for the later verification. It is much better to reject improper signatures out of a profile at this stage, namely, at the time of creating such a profile, and ask a customer to sign one additional time, instead of generating a wrong profile and “try” to use this for later comparison.

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