Tag Archives: dada-driven data

Intellectuational Linguistics: Benchmarks for Bench-Warming

The author, after recently publishing

Working to Frame Approaches Towards Approaching Frameworks:
Contextualizing Systemic Interventions as an Interventional System in Context

collaborated with himself and co-wrote

Granting Greater Rights to Grant-Writers:
Turning Down the Echo in an Eco-Downturn.

Both papers were well-received and build on the strength of the author’s initial work, published in 2020, entitled:

Speed-Dating the Data: Progressive Measures towards Measurable Progress

 The author’s third paper examined day-by-day data deterrence as a strategy to enhance documentation of impact towards tracking the implementation of benchmarks. The main thesis of the author’s 78-page analysis was that out-dated data, when out on a date, flirts with obsolescence by trying to ford the current affordability when instead, it could be out-sourcing data while invoicing clients in adolescence—rather than dragging the river for dead data. All three publications are recommended and underwritten by overwhelmed authorized ghost writers and this blog.

 

Data Talks – Celery Stalks

Fata Morgana !

Fata Morgana !

Crunch the numbers and look at the data. I’m like:
Measurable outcomes for pleasurable incomes—
incorporate outsourced inhuman resources in-house. I’m like:
indicators for vindicators.
It’s all about the data, mama—
so man up, sit down, and move forward
like hard apps on software, like ram on a gigabyte. I’m all:
sit up, move down, man forward;
benchmarks as milestones, stone benches as mile-markers
measuring the change-talk: obstetric metrics
played out for pregnant pauses.
It’s about throwing out the carry-on
It’s about unpacking the lost luggage
It’s about documenting best practices of undressed actresses
until the data-driver fails the breathalyzer.
The data tells a story: memes of mastery cast in plastery.
DUCK the FATA (morgana) !

 

More Data-Driven Drivel HERE

Aversion to Adverse Events

Further insinuations of adversity were acknowledged.

Questions arose as best practices were responsively adjusted
to assess and address the best-dressed actresses
and enhance seamless referrals.

What should data-driven differentiation designators do
when inter-relater liability becomes inter-liar relateability?

How are we to accurately assess the data
without throwing the rubric
through the window of opportunity for expansion of services?

Is there an existing rubric
to facilitate enhanced understanding
of this type of protocol deviation?

Sheesh – it feels kinda HOT in here. ..
How come all of you have HORNS and fangs?
Data Hell2