Classification – It’s a Race to the Finish
I dislike it when I read criticisms of classification technologies. Not just ours, mostly anyone’s in our space. Some work better than others, but classification is not ‘a thing of the past’ or ‘no longer valid in this day and age.’
Now I do realize when flaunting your own product, it is very tempting to criticize other technologies. Personally, I don’t take a holier-than-thou attitude towards our competitors. Even though I know their Achilles heel, I don’t broadcast it to the world. They do not do that to us either.
Ok, so how do ‘competitors’ view classification technologies? Well the first is ‘content granularity.’ Got it, we do it. This covers what data a user has, and who it belongs to.
Now we move on to ‘usage context,’ which means who can access data, why, and whether there is consent. Someone must collect this data or know the answers. I’ll accept this one as good advice.
Next on our list is ‘data source coverage,’ a process that collects unstructured files, structured databases, NoSQL databases, big data, cloud, logs, email, messaging, applications, and more. That’s a ‘yes’ to each of these for our software functionality.
As for ‘ability to scale,’ I am on the fence about this one – see, I am being honest. Let me put it this way, we haven’t had a client for whom we did not scale and achieve high performance. We offer dynamic, not static, software. Totally agree, and that’s a ‘yes’ to this one from us.
We passed operational performance with flying colors! On to the next round. First up is ‘entity discovery and resolution,’ which is the ability to extract and resolve data entities. An example is to identify a social security number and an account number that have equivalent value. Yes, we do disambiguation out-of-the-box.
Next round and we aren’t even tired yet – ‘entity classification by type and category.’ Yes, our classifications are extremely refined. This is one of our differentiators. Our software has the ability to define the ‘aboutness’ of the data, and find similar data that uses totally dissimilar verbiage.
Finally, I am getting tired of fighting for classification and am almost at the end of the comparison – ‘metadata capture and cataloguing.’ Need I go on? That is our sweet spot. Yes, our unique technology automatically generates multi-term metadata that captures the meaning of content.
Join us for our Crossing the Content Chaos Chasm – Where Does Records Management Fit? webinar, on Wednesday, May 8. Understand the value of an intelligent approach to content services and classification, and how the right decisions reduce risk and cost, and remove traditional records management roadblocks.