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Achieving Clarity in your Data Ecosystem

by Dave McComb | Mar 25, 2021 | Data-Centric Architecture

Achieving clarity in your data ecosystem is more difficult than ever these days. With false news, cyber-attacks, social media, and a consistent blitz of propaganda – how does one sort it all out? Even our data and information practices have suffered from this...

DCAF 2021: Third Annual Data-Centric Architecture Forum Re-Cap

by Peter Winstanley | Feb 25, 2021 | News & Community

Written by Peter Winstanley The Data-Centric Architecture Forum was a success! If growth of participants is an indicator of the popularity of an idea, then the Third Annual Data-Centric Architecture Forum is reflecting a strong increase in popularity, for this year...

Telecom Frameworx Model: Simplified with “gist”

by Phil Blackwood | Feb 24, 2021 | gist & Open Standards

We recently recast large portions of the telecom Frameworx Information Model into an Enterprise Ontology using patterns and reusable parts of the gist upper ontology.  We found that extending gist with the information content of the Frameworx model yields a simple...

The 90s Are Over, Let’s Stop Basing Capital Cost Decisions on Lagging Indicators

by Dave McComb | Feb 12, 2021 | Business Case & ROI

Let’s Stop Basing Capital Cost Decisions on Lagging Indicators. Remember the good old days of emerging digital technology? Accessing information through a dial-up internet connection. Saving data to floppy discs or CDs. Sending emails to have them printed for storage....

A Data-Centric Approach to Managing Customer Data

by Dave McComb | Jan 11, 2021 | Data-Centric Architecture

by Phil Blackwood, Ph.D. Without a doubt every business needs to have a clear idea of who its customers are and would love to have a 360 degree view of each customer. However, this customer data is typically scattered across hundreds of applications, its meaning is...

Dispose, Delete, and Discard: Keep your Enterprise Data Tidy Part 3

by Dave McComb | Dec 16, 2020 | The Whiteboard

Those who are familiar with Marie Kondo know that she is a ruthless disposer. If you’ve read parts one and two of this series, you know that the process is more nuanced than just “throw it all away,” but we’ve come to the point in the process where it’s important to...

The Data-Centric Revolution: The Role of SemOps (Part 1)

by Dave McComb | Dec 2, 2020 | Business Case & ROI

We’ve been working on something we call “SemOps” (like DevOps but for Semantic Technology + IT Operations).  The basic idea is how can we create a pipeline to go from proposed enterprise ontology or taxonomy enhancements to “in-production” as frictionlessly as...

A Data Engineer’s Guide to Semantic Modelling

by Dave McComb | Nov 25, 2020 | Knowledge Graphs & Ontologies

While on her semantic modelling journey and as a Data Engineer herself, Ilaria Maresi encountered a range of challenges. There was not one definite source where she could quickly look things up, many of the resources were extremely technical and geared towards a more...

A Brief Introduction to the gist Semantic Model

by Dave McComb | Nov 3, 2020 | gist & Open Standards

Phil Blackwood, Ph.D. It’s no secret that most companies have silos of data and continue to create new silos.  Data that has the same meaning is often represented hundreds or thousands of different ways as new data models are introduced with every new software...

Sharing Ontologies Globally To Speed Science And Healthcare Solutions

by Dave McComb | Oct 14, 2020 | Pharma & Life Sciences

The COVID-19 pandemic is a clear example of how healthcare practitioners require swift access to enormous amounts of diverse information to efficaciously treat patients. They must synthesize individual data (vital signs, clinical history, demographics, and more) with...
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