Data Ontology – What Is It and Why Do We Need It?

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Data ontology or semantic technology is a methodology and tools that provide sophisticated ways for categorizing and processing data, as well as for discovering relationships within varied data sets. Uses of semantic technology are implemented in assorted data repositories for future use and recall, such as with NLP chatbots, data lakes, data governance and integrity, and emerging cognitive apps.

Back to school.  Some of my business associates that manage sites and divisions don’t want to admit it openly, but the tsunami of “stuff to do with my data” is completely overwhelming. I hear about it every day. The struggle is real.

As George Danner, Author and award-winning Data Scientist says in his recent book, The Executive’s How-To Guide to Automation (MacMillan), “Automation is coming and there’s nothing we can do to stop it.”  Be it freight train, waves of Blockchain, or swarming butterflies, the tsunami is here and to remain competitive, C-Levels are put in a new position of sprinting as never before to keep up. This level of sophisticated decision-making is being done while juggling sensitive “land mines” of people, assets and investments that are balanced on spinning plates, all while on a brightly lit stage with stakeholders intently watching on. This is why leveraging data ontology is so important.

We are now seeing “Bootcamps” or certificate courses such as the 2019 inaugural Data Analytics Bootcamp for Executives taught by influencer George Danner at the University of Houston Bauer College of Business. The course is specifically for the non-technical C-Suite and high-level decision makers who will have to come to terms with emerging data analytics and data ontology technology and how it will directly affect high-level decision making. It is a “what you need to know NOW” learning experience designed to give you the ability to intelligently discuss and direct your company trajectory with the use of data analytics technology.

While school’s never out for the professional, another looming phenomenon is the love/hate relationship found in our relationships with the IT Department and our dependence on their ability to give decision-makers relevant, accurate, and timely data. It’s the cart before the horse theory. If we can’t tell them what we want and what we need and how we want to see it and when we are writing blank checks that will most certainly create deliveries of useless information and uncertain outcomes. It’s not IT’s fault that as a decision-maker, we don’t ask the right questions or are even sure what data is relevant to our query. The buck stops here.

This is a common scenario. Pretend for a moment that you’re rolling your collected data into a Data Warehouse, where there are over 100 databases, ranging from ERP to HR to Ops to DCS, to other acronyms too numerous to count, which has become the norm.  We have tons of APIs – bunches of extracting and transforming and loading. Some of you desperately express trying to find ways to quantify that data. We hear things like “I’ll have to pry spreadsheets from their cold, dead hands.” While comical in conversation, the reality is, it’s a timebomb for decision makers. It shouldn’t be this difficult. The tragedy is that this has become the expectation.  We’ve become desensitized, like zombies through the night, continuing to wander and wonder if the data’s accurate and if we’re all in lockstep. We know we aren’t.

If you remember what Citrix did for applications or what Amazon did for servers, then you’ll be prepared for what semantics and the “new way” is about to bring to bear on your world. It’s not coming in the not-so-distant future. It is here.

Be informed, stay relevant and get yourself prepared for the evolution of data collection and analysis. Don’t let naysayers stop you from doing what you know is not a cost, but a profit strategy that will ensure your company’s survival and ability to thrive in the 4th Industrial Revolution.

At InCite Logix, we’re seeing amazing transitions, with a much faster “time to answer”, when key business questions are asked. Smart devices are ready to answer questions for field operators who need accurate readings. Equipment has preventive maintenance because sensor data says its usage is up. Safety happens because biometric devices track and report in real-time. You’re no longer waiting for a once a month report on output because you have a custom dashboard with real-time data. Turn-arounds happen with precision because you know about show-stopping issues in advance.

Bring us your most complex problems. Bring us the solutions that didn’t work. We’ll change the integrity, timing, and quality of your data so you can predict future success for individuals, teams, departments, and divisions all with the ontology of your most important data, navigating your business or organization to competitive wins.


For more information on how to create a common language for multiple data-sets, we’ll introduce you to Ultrawrap Technology by our Business Partner Capsenta. Complete the form below and we’ll be in touch!

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