Semantic Arts exists to shepherd organizations on their Data-Centric journey.
Our core capabilities include:
• Semantic Knowledge Graph Development and Implementation
• Legacy Avoidance, Erosion, and Replacement
We can help your organization to fix the tangled mess of information in your enterprise systems while discovering ways to dissolve data silos and reduce integration debt.
What is Data-Centric?
Data-Centric is about reversing the priority of data and applications.
Right now, applications rule. Applications own “their” data (it’s really your data, but good luck with that). When you have 1,000 applications (which most large firms do) you have 1,000 incompatible data silos. This serves to further the entrenchment of legacy systems, with no real motivation for change.
Data-Centric says data and their models come first. Applications conform to the data, not the other way around. Almost everyone is surprised at the fundamental simplicity, once it’s been articulated.
It sounds simple, but fifty years of “application-centricity” is a hard habit to break. We specialize in helping firms make this transition. We recognize that in addition to new technology and design skills, a major part of most projects is helping shepherd the social change that this involves.
If you’re fed up with application-centricity and the IT-fad-of-the-month club, contact us.
Read More: What is Data-Centric?
What about those legacy systems?
The move to a more data-centric architecture requires thoughtful planning. Early phases look more like a surgical process of dealing with legacy applications in a way that realizes quick wins and begins to reduce costs, helping to fund future phases. Usually, it looks something like this:
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Legacy avoidance: The recognition that a firm has slowed down or stopped launching new application systems projects, and instead relies on the data that is in the shared knowledge graph.
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Legacy erosion: Occurs when firms take use cases that were being performed in a legacy system and instead implement them directly on the graph. Rather than wholesale legacy elimination (which is hard), this approach allows the functionality of the legacy system to be gradually decommissioned.
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Legacy replacement: Once enough of the data, functionality, and especially integration points have been shifted to the graph, legacy systems can be replaced. Not with “legacy modernization” systems, but with lightweight standalone use cases on the graph.
Read more: Incremental Stealth Legacy Modernization
ABOUT US
<p>Learn more about our mission, our history, and our team.</p>THOUGHT LEADERSHIP
<p>See how we are leading the way towards a data-centric future, and those who have taken note.</p>PROBLEMS WE SOLVE
<p>Discover how we can help you along the journey.</p>Taking a different path STARTS NOW. Become Data-Centric to simplify and enhance your enterprise information landscape:
5 Business Reasons for Implementing a Knowledge Graph Solution
1. Comprehensive data integration
2. Contextualized knowledge discovery
3. Agile knowledge sharing and collaboration
4. Intelligent search and recommendation
5. Future-proof data strategy
Integrating semantic capabilities into enterprise business processes has been the foundational shift that organizations such as Google, Amazon, and countless others have leveraged. The results are tangible: increased market share and revenue, lower costs, better customer experiences, reduced risks, and the promotion of innovation.
Semantic Arts’ professional services deliver true solutions (not gimmicks) for current and future information management challenges.
FROM OUR BLOG
What Size is Your Meaning?
It’s an odd question, yet determining size is the tacit assumption behind traditional data management efforts. That assumption exists because, traditionally, there has always been a structure built in rows and columns to store information. This is based on physical thinking. Size matters when building physical things. Your bookshelf needs to be tall, wide and... Continue reading→
What will we talk about at the Data-Centric Conference?
“The knowledge graph is the only currently implementable and sustainable way for businesses to move to the higher level of integration needed to make data truly useful for a business.” You may be wondering what some of our Data-Centric Conference panel topics will actually look like, what the discussion will entail. This article from Forbes is an interesting take... Continue reading→
The Data-Centric Revolution: Implementing a Data-Centric Architecture
Dave McComb returns to The Data Administration Newsletter with news of roll-your-own data-centric architecture stacks. Rather, he makes an introduction to what the early adopters of data-centric architectures will need to undertake the data-centric revolution and make such a necessary transition. At some point, there will be full stack data-centric architectures available to buy, to... Continue reading→
The Data-Centric Revolution: Implementing a Data-Centric Architecture
At some point, there will be full stack data-centric architectures available to buy, to use as a service or as an open source project. At the moment, as far as we know, there isn’t a full stack data-centric architecture available to direct implementation. What this means is that early adopters will have to roll their... Continue reading→
Are You Spending Way Too Much on Software?
Alan Morrison, senior research fellow at PwC’s Center for Technology and Innovation, interviews Dave McComb forstrategy+business about why IT systems and software continue to cost more, but still under-deliver. McComb argues that legacy processes, excess code, and a mind-set that accepts high price tags as the norm have kept many companies from making the most of their... Continue reading→
The gist Namespace Delimiter: Hash to Slash
The change in gist: We recently changed the namespace for gist from http://ontologies.semanticarts.com/gist# to http://ontologies.semanticarts.com/gist/ What you need to do: This change is backwards-incompatible with existing versions of gist. The good news is that the changes needed are straightforward. To migrate to the new gist will require changing all uses of gist URIs to use... Continue reading→
Data-Centric vs. Application-Centric
Data-Centric vs. Software Wasteland Dave McComb’s new book “Software Wasteland: How the Application-Centric Mindset is Hobbling our Enterprises” has just been released. In it, I make this case that the opposite of Data-Centric is Application Centric, and our preoccupation with Application-Centric approaches over the last several decades has caused the cost and complexity of our... Continue reading→
A Tale of Two Projects
If someone has a $100 million project, the last thing that would occur to them would be to launch a second project in parallel using different methods to see which method works better. That would seem to be insane, almost asking for the price to be doubled. Besides, most sponsors of projects believe they know... Continue reading→
Software Wasteland
Software Wasteland: Know what’s causing application development waste so you can turn the tide. Software Wasteland is the book your Systems Integrator and your Application Software vendor don’t want you to read. Enterprise IT (Information Technology) is a $3.8 trillion per year industry worldwide. Most of it is waste. We’ve grown used to projects costing tens... Continue reading→
Ontology-based Applications
Once you have your ontology, you want to put it to use. We will describe a common scenario where data is extracted from various sources including relational databases. That data is then used in conjunction with an application instead of a traditional relational database. Things have advanced from just a few years ago when the... Continue reading→
gist: 12.x
gist: is our minimalist upper ontology. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity. Our gist: ontology is free (as in free speech and free beer–it is covered under the Creative Commons 3.0 attribution share-alike license). You can use as you see fit for any purpose, just give us attribution.
Semantic Arts Plays Well With Others
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