The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Business Process Management (BPM) | Process Automation
"It was 20 years ago today, Sergeant Pepper taught the band to play..." Twenty years sounds like a long time ago, but the back-end processes inside many organizations look the same then as they do now. The amount of paper still used in your business processes is a good indicator of how far behind you are in preparing your organization to address the challenge of digital transformation. Are your business processes suited for the future of information management or stuck in the past? Let's take a look. First, read through these following stats with your business processes in mind.
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Business Process Management (BPM) | Process Automation
There's a lot of factors hitting the information management industry changing how we need to think about our business processes. Customer expectations continue to rise, the volume and variety of information is increasing, and more. Let's explore these key trends further and uncover why and how they will affect critical business processes.
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Making an ECM implementation successful requires planning and attention to detail. The best way to create the right solution is to identify organizational goals and priorities. Learn how to manage a successful implementation in our free guide.
Enterprise Content Management (ECM) | Project Planning and Management
Making an ECM implementation work requires planning and attention to detail. At first blush, it may look like any other technology implementation, but it's far from it. ECM is a complex set of technologies that work together. The best way to create the right solution is to identify organizational goals and priorities. Common drivers include enabling easy access and retrieval of content, as well as, reducing risk and meeting regulatory requirements. I recently put together a short white paper outlining the 14 steps to a successful ECM implementation. I've compiled the finer points into a checklist, designed to help guide your organization through the process of implementing ECM.
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Compliance | Information Governance
The best time to get serious about information governance is yesterday. The second best time is now. For years we have been accumulating information in various forms from paper to electronic documents and social media content such as blog posts and tweets. Many organizations think that they have to keep all of this information. What they fail to realize is that not all information is equal. By keeping information that isn’t needed and not following an information governance plan, organizations put themselves in jeopardy. Proper information governance includes getting rid of information that no longer has any value to the organization. Simply put: you don’t need to keep it all – and you shouldn’t. The more information your organization accumulates, the more risk it generates. This combined with cascading changes in legal requirements means that organizations need to get serious about information governance. Here are three reasons why:
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Enterprise Content Management (ECM)
I recently had a conversation with outgoing AIIM board member Michael Croal (Cornerstone Advisors). I thought I would capture the core of it in this blog post. I think there is a lot of meat here regarding the industry and how we sell and position content-centric solutions.
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People often seem to think oil & gas companies are leading-edge and have enough money to invest in whatever systems they like and that they live in a World of 3D models, data, and analytics. The real picture is often very different. Exploration and production companies, who search for and extract hydrocarbons, see information systems and information management as something necessary but not something that excites the interest of the board. Data is certainly much in evidence, but information overall is not treated as ‘the new oil’ by the industry. Much of the focus on data is within the geoscience discipline, from the creation of seismic surveys to reservoir modeling and interpretation. The techniques have changed a bit, but mostly we see increases in resolution, frequency, and speed of analysis. This clearly improves the odds of making a discovery and reduces the financial risks of drilling.
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