Das AIIM CIP Zertifikat wurde im Mai 2019 aktualisiert. Nähere Informationen gibt es hier: http://bit.ly/CIP_2019. Anders als die Master-Kurse der AIIM muss der CIP regelmäßig aktuell gehalten werden.
PROJECT CONSULT ist akkreditierter Training-Partner für alle AIIM-Kurse in DACH und wird auch den neuen CIP-Kurs anbieten. Interessenten an einem öffentlichen oder Inhouse-Kurs melden sich bitte bei Frau Silvia Kunze-Kirschner. Der Kurs wird von Dr. Ulrich Kampffmeyer durchgeführt.
Von der AIIM-Webseite das neue CIP-Programm:
CIP: What changes can I expect from the exam coverage?
When we started planning the update, we did so through the prism of our Intelligent Information Management story. We believe and have been sharing for a while now, that organizations today need more than ECM, or Gartner's replacement, Content Services. These are important considerations, but insufficient, because they create the impression that these are technology issues. The Intelligent Information Management story has a technology chapter, but it's not the most important chapter. Rather, technology supports the other things that organizations need to do to meet today's information management challenges:
- Modernizing the information toolkit
- Digitalizing core organizational processes
- Automating compliance & governance
- Leveraging analytics & machine learning
We also wanted to keep implementation planning on the updated exam. So with a little tweaking from our subject matter experts, here's what the final updated exam blueprint looks like:
- Domain 1 - Creating and Capturing Information
- Domain 2 - Extracting Intelligence from Information
- Domain 3 - Digitalizing Core Business Processes
- Domain 4 - Automating Governance and Compliance
- Domain 5 - Implementing an Information Management Solution
Domain 1: Creating and Capturing Information
Creating and capturing information focuses on all the different types of information and the characteristics to consider in determining how to store, manage, and use it effectively in support of business processes. This domain covers:
- Capturing Information
This domain begins with a look at how information comes into the organization and the most effective way to capture it - preferably in an automated fashion.
- File Formats
Learn about the common file formats and the importance of using open and standards-based formats wherever possible.
Understanding the process for digitizing paper documents in terms of selecting the proper strategy and the steps in an imaging process.
- Information Storage
Once the information is present, it needs to be put somewhere. Pro tip: If you can tell your users "where to put their stuff" (or better yet, automate where and how their stuff gets put somewhere), that's a big help. Learn about different solutions such as repositories and file sync and share applications and help you understand which to use when.
Work is a collaborative process, so we spend quite a bit of time on how to do it effectively (hint: it's not through email), how to manage the collaborative process, and things to consider when collaborating across organizational and geographic boundaries.
- Knowledge Management
We take a look at knowledge management as a discipline, with particular attention to how to identify the right person for a specific role or issue.
- Content Migration
How do you get information from one system to another effectively? Two things to consider here: what do you migrate, some or all, and how do you ensure the migration was successful and accurate?
By the end of Domain 1, you should have a solid grounding on how information is created or received by the organization and where and how it is captured so it can be used and managed throughout the information lifecycle.
Domain 2: Extracting Intelligence from Information
Extracting intelligence from information is all about gaining a better understanding of the information your organization has by using a variety of tools, techniques, and automation. Let’s take a look at what’s covered in this domain:
More than "data about data", metadata provides the context required to understand information: how it's used, how it's managed, and how it is made available to users throughout the information lifecycle. This is one of the three pillars of findability.
If metadata makes up the bricks of findability, taxonomies are the blueprint. Taxonomies form the second pillar of findability by allowing users to browse information in different repositories and storage locations.
- Analytics/Machine Learning/Artificial Intelligence (AI)
These tools and techniques form the third pillar of findability by extracting the contents of unstructured documents and making them available to other tools and processes. They also offer significant support for automating common information management tasks like classification and file share cleanup.
- Data Recognition, Extraction, and Standardization
These capabilities improve our ability to make sense of images as well as documents and can significantly improve the findability of business information.
Having all this information available doesn't help the organization if users are unable to find what they need.
By the end of this domain, you should have a solid grounding on how to extract the value from different types of information and how to leverage these capabilities in support of business goals and objectives.
Domain 3: Digitalizing Core Business Processes
Domain 4: Automating Governance and Compliance
Domain 5: Implementing an Information Management Solution