To pursue on our Behind Business Cases with this 3rd example, we didn’t have the same questions with the field “Country” we had with “Out of Digital”. Country filters are obvious, in particular for marketers, but what didn’t expect was how on eye-opener it would be.
Import an existing Corpus into TrustedOut
Compare countries within the same Corpus
To discover the countries have very different profiles in particular, their taxonomies.
Comparing Apples to Apples
To avoid comparing Culture, Politics and Entertainment with Business, Society and Tech, TrustedOut can align those two countries and have you compare… apples to apples.
Our content team worked very hard to define, what we hope is “the most comprehensive and media profiles database, and select all the necessary fields and always up-to-date taxonomy. Of course, this is an on-going process but so far….
We are today at 66 fields and 450 categories.
Along the way, we challenged ourselves on how insightful a field would be to decide to add it.
“Out of digital” is a field collecting all supports beyond online for a media, such as paper, radio, TV….
Now, the question is: Does it matter? or for TrustedOut goal…
Do Pure Players have an impact on your analytics?
We ran our Corpus Analytics on the Corpus used for the BPI Events:
And did an A/B testing, all media and Pure Players only with 2 versions of a Corpus using the very same analytics tools, here Netvibes, and arrive to the conclusion:
Yes, Pure Players influence your analytics.
So, we kept “Out of digital” for our Corpus Intelligence and now our AI keeps on updating it at all time.
Comparing a specialist, Techcrunch, and a generalist, the New York Times – Technology.
Taxonomy DNA views: Both 12/18/18, 3% threshold, 7 day rolling learning (a post on this later on).
The New York Times – Technology
Top 10 categories
Interesting to watch the 4 first categories been the same with more on people for the NYT and more on Industries for Techcrunch., then NYT has Law, Politics, when Techcrunch has Finance and Hardware.
Finally, AI was pretty precise to classify Lifestyle and Digital Life for the NYT and Digital Tech for Techcrunch.
Why it matters.
TrustedOut Corpus Intelligence permits our users to create and maintain corpuses, precisely shaping out their definition of their trust for their analytics. With the example above, shall a study be on Tech AND Law, the NY Times – Technology section would be selected and not Techcrunch.
Like for any survey, the sample onto which the survey will be based on, makes or breaks the trustworthiness and the serious of its outcomes.
Trusted in, Trusted out.
Below is an example of the Corpus creation UI in TrustedOut.
TrustedOut has selected Keycloak, an open source Identity and Access Management solution from RedHat (recently acquired by IBM for $34B) for its user management.
The perfect B2B eXperience.
Keycloak allows TrustedOut Corpus Intelligence to offer:
One login and multiple accounts? Ok.
Clients with multiple accounts, such as regional marketing managers, will be able to move from account to account without remembering and re-enter any password.
Social logins? Yop.
Clients can continue to use their social login, such as Google, Twitter or Facebook to get into their TrustedOut account. They can also authenticate with existing OpenID Connect or SAML.
Large corporation ready? Absolutely.
Your company uses LDAP or Active Directory servers? TrustedOut can use those and connect in no time.
Frictionless access to Corpus outcomes? Of course.
Getting in TrustedOut with your existing credentials is good but getting TrustedOut’s outcomes, medias, feeds and article abstracts without any additional signing efforts is even better. The whole experience is totally frictionless.
Security first? Sure!
Thanks to Keycloak, which is extensively used here, TrustedOut complies with standard protocols and provides support for OpenID Connect, OAuth 2.0, and SAML.