text analytics
Who has time for text? It's hard enough using data these days. We keep so much data – and it has to be stored somewhere in some format and in a way that we can use with all of our other data.
Text is even messier. Text mining can tell you how frequently terms are used across documents. Entity extraction can tell you who, what, when, and where. Natural language processing can help … you get the idea.
But if you want to know what your text is talking about, you're going to need to spend a little time with it.
That's where we come in. At Bacon Tree, we know how important text is to understanding what is happening inside of your organization. We know that you need to be able to find, use and discover connections in your content, long after it is first produced. We know that you shouldn't have to perform multiple searches for three words that mean the same thing.
Words need context for meaning. We'll spend hours with your content to find the meaning in your words. We'll use that to create a semantic model for you or to give you data for your machine learning models.
We understand content. We understand words — and how to help you extract all of the business value you can from both.
get ready for digital transformation
Digital transformation is the process of adding modern IT capabilities to a business so that it can respond effectively to changes in the marketplace. It is so important to the continued health of businesses worldwide that it could be worth $18 trillion globally in added business value, Gartner says.
The stakes are high — and even more so as the world evolves to more online delivery of services. It's no exaggeration to say that digital transformation requires a fundamental rethinking of how a company uses data and technology, and each transformation project starts with a strategy.
At Bacon Tree, we believe that process starts with defining how metadata will be used — and that in doing so, you'll discover the real value in your data, people, and products.
Agility is the end goal — the ability to respond quickly and effectively to external and internal forces and remain a healthy, successful organization.
a different approach to metadata management
Data is like the things that you stuff into that one closet where everything falls out when you open the door. It doesn't have to be a jumble; your closet likely started out as organized. But as you add stuff to it, you don't want to take everything out to make new things fit. So you shove it in, quickly close the door, and hope for the best.
And then … you need something in the closet. You have to do it. You have to open the door, let stuff fall out, rummage around for the thing you need, grab it and run. What happens when you're done with the thing ? How do you put it back in? Do you even put it there or does it now live on the garage floor because you can't face the closet?
Sometimes, we do the same thing to data. It starts out cleanly organized, but as we add more and need to use it in different ways, it's harder to get at and more difficult to use.
The answer is managing data differently. We at BTC help you create a system that lets you leave data in place while being able to access and use it from other systems and processes. At the heart of this strategy is robust metadata that adds context so that other systems – and people! – understand your data better.
Data and its metadata get pulled into a centralized hub so that you can ask questions across systems and get complete answers; search for and create products that use data in different systems; and modify data as needed, while making it available to other systems in real time.
semantic modeling
We are experts at building taxonomies and ontologies that organize, increase findability of, and enhance search of enterprise content. Those taxonomies and ontologies are often used to auto-classify content and help manage metadata that drive text analytics and quality search results.