Chillistore announces that they have been acquired by Argos Multilingual, but will remain a separate and independent subsidiary.
More details here!
Who We Are
A brief history
Meet our team
Our unique approach
What We Do
Our approach to LQE
Maximize your content potential
We take ownership & responsibility
Ardilaun Court, St Stephen’s Green,
Dublin 2, Dublin D02 TD28, Ireland
Improving LQE, Quality Data Collection, Analysis, and Refinement with the Chillistore Language Ownership Program
Just how bad can the results from flawed or partial data analysis be? Let’s start with a history lesson.
The objective data for one of the most infamous business decisions in history was, in fact, conclusive: Back in 1985, Coca-Cola’s recently reformulated recipe was the hands-down winner of nearly 200,000 blind taste tests, beating both Pepsi and the original Coca-Cola formula.
Assured by the analysis of this objectively secured data, Coca-Cola pushed forward with a splashy and ambitious advertising campaign to introduce America to New Coke.
And it flopped.
As the executives at Coca-Cola pondered where they went wrong, they realized something: They had missed a vital piece of data collection – the cultural attachment customers had to the idea of the original Coke flavor. It had been such a part of their memories of good times and experiences that even if the new formula tasted better objectively, the “classic” flavor meant more emotionally.
Had both sets of data been collected, the analysis would have yielded a far different recommendation.
Just as the above story illustrates, the best results come from thorough collection and analysis of all the relevant data. This is why Chillistore’s Language Ownership Program puts special emphasis on this process to yield the most insightful LQE results: Collecting and analyzing relevant data from query management systems and outlining it back in the form of actionable reports and dashboards gives you objective building blocks to continuously improve quality.
The key here is working end-to-end with you (the customer), translators, and other stakeholders to help each team see how this collaborative approach optimizes translation workflows and ensures linguistic accuracy and contextual relevance.
Once localization teams see we can quantify the quality of translation efforts they begin to see LQE not as a pass/fail step but as a tool for constant improvement.
Analysis is impossible without first collecting multifaceted data sets that take all the areas of LQE into consideration. This encompasses the source content, translation memory, glossaries, and existing style guides. As the collaboration progresses, accumulated data forms a robust foundation – a well-structured database of quality potential, if you will.
However, the true power of this partnership emerges when the collected data undergoes a battery of data analytics. Leveraging modern analytical tools, we extract relevant insights from the amassed information. In-depth data analytics is used to build dashboards for fast, easy data visualizations. These insights are translated into actionable strategies.
We sit down with stakeholders at each stage of the project to gather the data needed for thorough LQE.
While it might sound complicated or purely technical, the real magic of a Language Ownership Program is human-to-human partnership. This approach captures insights from every perspective to enrich the data analysis process and build constant refinement:
This structured approach to language ownership guarantees feedback is grounded in the very data that drives the translation process.
And we would, of course, love to put Chillistore Language Ownership Program to work for you.