While it seems like yesterday, it was already last year when I attended an Executive Leadership Conference sponsored by AIIM (The Association of Information and Imaging Management). It was an insightful session with speakers making presentations on the theme “A Digitally ‘Transformative’ Year,” and sharing their thoughts on the future of information management.

Whether you’re looking at a low-cost SaaS tool or a new enterprise software deployment, software purchasing decisions are full of potential pitfalls.

If it’s time for your firm or company to design a taxonomy for your paper and electronic content, then you likely already understand the benefit of document management best practices. But implementing an effective taxonomy is no longer just about drafting consistent naming conventions across your organizations. It requires an understanding of how your content is being used and how best to organize it for ease of access.

Little mistakes can mean a big price tag. “University of Michigan Health System Overbills Medicare by $6.2 Million,” and “OIG Tags Carolinas Medical Center for Incorrect Billing” (over 1.7 million) are just two recent headlines regarding paybacks to Medicare as a result of RAC audits.

“The cloud” is often an undefined concept used in various descriptions. Software applications running on the cloud can be running as a SaaS, a PaaS, on IaaS, in DMZs, in managed hosted environments and in many other ways. But for our discussion we use the cloud to mean a computing environment outside of the corporate LAN/WAN, sometimes maintained by a third party. Using a document management solution based in the cloud has many benefits and is likely to become the solution of choice by organizations in the coming years. Here’s why.

Artificial intelligence (AI) and machine learning can radically improve the way businesses process the massive volume of documents in their organizations. To date, machine learning technologies have brought greater automation to document classification processes, which is helping businesses manage documents more efficiently. Machine learning refers to a field of computer science that allows computers to “learn” without being programmed. The technology can analyze document structure and contents to classify documents according to shared similarities and characteristics. For example, machine learning tools can detect document types by identifying obvious terminology such as “invoice” as well as more subtle language, such as “total due” and “due date.” 

Everyone wants to be smart. Where I work, we believe “smartness” starts from within, and in business, we believe smart decisions are those that keep up with the times. Failure to upgrade can leave you in your competitor’s wake.

Whether you are in sales, accounting or operations, I hope this post will resonate with you. Workflow is a big deal. It is one of those terms that gets thrown about. “We need to optimize our workflow,” says operations and accounting. “You need to optimize your workflow,” says the sales guy. Either way, optimization in life is important, but the key is knowing where to do it. You can diagram workflows, build flowcharts, and invest a lot of money in a software application to facilitate your workflow. These efforts are all helpful, but the key to a successful workflow process is to start with accurate information.  

Blockchain is today’s buzzword. There is no question that many believe blockchain, the shared, databased technology that drives cryptocurrencies such as bitcoin, could revolutionize business. If so, could blockchain disrupt the way enterprise content is managed and should it be high on the CIO’s agenda?

In the 20-plus years I’ve been working in the imaging industry, I have noticed that only a few elite solution and professional services salespeople have become truly successful. One of the secrets to their, and my, success in solution and professional services sales has been an old, tired-out approach called the consultative approach. You might be thinking, “Did he really just call his own technique tired and worn out?” The answer is, YES!