Gilbane Advisor 2–18–21 — graphs, stacks, apps, meshes, privacy
In this issue we look at enterprise knowledge graph semantics, how to move to a distributed data mesh, a helpful case study on UX improvements, “best-of-breed” stacks, and personal data privacy, first party ads, and consumer contradictions.
A definition of “Enterprise” in EKGs
Enterprise knowledge graphs are on the rise, but terminology and even conceptual understanding is inconsistent. Dan McCreary’s article is a good place to start to organize your own thoughts before diving in…
Many people co-mingle the terms from open linked data world and the semantic web stack’s role with the concepts related to sustainability and scalability of enterprise knowledge graphs.
How to move beyond a monolithic data lake to a distributed data mesh
If you haven’t yet had a reason to develop a complete understanding of what a distributed data mesh is, or how it relates to looking at data as a product for multiple enterprise functions, there is a good chance you will before long. Some familiarity will be important for many roles beyond pure data management. This in-depth article by Zhamak Dehghani covers the why and how, and likely answers most questions you have.
Quantifying UX improvements
Nielsen Norman Group’s Kate Moran presents a case study, with before and after screen shots and metrics, illustrating how an informed information architecture can increase customer self-service and improve both customer experience and sales efficiency.
Best-of-breed stacks
Debates on the relative merits of vendor suites versus best-of-breed application solutions have been going on for decades. The data was scarce and questionable, the arguments “qualitative”, and the conclusions invariably “it depends…”.
Scott Brinker has a lot to say about today’s version of this debate with the more complicated and flexible software architecture options available. For his latest post on the topic he came up with a great way to apply some neutral data to his view that stacks are growing and increasingly best-of-breed.
Also, on personal data, privacy, ads…
- The jury is out on FloCs… Building a privacy-first future for web advertising, via Google Ads & Commerce Blog
- Building your own first-party solution… To serve better ads, we built our own data program via NYT Open Blog
- Yes, we’re fickle with trust IRL… Data from Entrust reveals contradictions in consumer sentiment toward data, via Entrust
- Not easy, but worth the effort… Ethics as a service: a pragmatic operationalisation of AI Ethics, via SSRN
- An independent look… Facebook’s Misleading Campaign Against Apple’s Privacy Policy, via HBR
The Gilbane Advisor is curated by Frank Gilbane for content technology , computing, and digital experience professionals. The focus is on strategic technologies. We publish more or less twice a month except for August and December. We also publish curated content technology news.
We do not sell or share personal data.
Originally published at https://gilbane.com on February 18, 2021.
