“Auto-appraisal is a critical component of digital transformation, as it enables organizations to manage information in a more effective and efficient way, while also ensuring compliance with regulatory and legal requirements.”
Taxonomy - what's in the name? The term Taxonomy is used widely used across a range of contexts and depending on which discipline you follow you will encounter multiple definitions. According to Wikipedia, the word taxonomy finds its roots in the Greek language:...
Information stockpiles are growing too fast for humans to keep up, making autoclassification and autoapprisal the only viable solution.
We know how complex it is to build classification schemes, taxonomies and other information governance tools because we do it too.
It’s hard to build a classification scheme that stands the test of time. Those that persist do so because they meet the collective needs of the organisation.
Businesses that develop fit-for-purpose standardised metadata can find the right information, in the right place, at the right time.
At Synercon, we managed a speedy re-platform because we had all the knowledge needed to build a new information architecture in SharePoint.
Most organisations fail to execute their digital transformation strategy because they don’t know where to start or how to clean up the current mess.
We combined existing knowledge and toolsets build an intelligent automation platform for records and information management.
Autoclassification depends on machine readable data models, such as ontologies, that convey the requisite knowledge.
Managing metadata and developing taxonomies is easy! And so it is – when you are working within a confined context.
When major systems fail, poor governance is often cited as the reason. Dig in and you’ll find taxonomy and data/metadata quality is a factor.
Read about our research with metadata and data models to enable automation in this August 2014 issue of Information and Data Manager.
With so many standards to choose from, it’s essential to understand the types of metadata standards and their purpose.
Without defined rules, descriptive metadata becomes subjective and results in ambiguous language.
Our challenge is harnessing language as a tool for describing information resources with consistency and precision.
It’s not surprising that users opt out of records management systems that don’t deliver functionality for adding, connecting and leveraging metadata.
By studying successful systems, we can understand which design and functionality features will allow us to automate recordkeeping processes.
Aggregation allows for greater context when managing records, but there are challenges to achieving it in a digital environment.
Five good reasons to invest in specialist software for building taxonomies or metadata, instead of using a spreadsheet.