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Discover LudwigThe phrase "ability to analyse data" is correct and usable in written English.
You can use it when discussing someone's skills or competencies related to data interpretation and evaluation.
Example: "In today's data-driven world, having the ability to analyse data is crucial for making informed business decisions."
Alternatives: "skill in data analysis" or "capability to interpret data."
Exact(7)
Personalisation at scale is becoming more viable thanks to rapid advances in technology's ability to analyse data and deliver content.
Competition for places can be tough, and all universities will be looking for candidates with evidence to show that they have the empathy and communication skills to work with and inspire a wide range of people, the resilience to cope under pressure, and the ability to analyse data.
They ignore the extent to which management is a craft, requiring zest and intuition rather than merely an ability to analyse data and invent strategies.Maybe that is why, as Mr Mintzberg gleefully points out, a list of America's most-admired business leaders (Warren Buffett, Herb Kelleher, Michael Dell, Bill Gates, Jack Welch and Oprah Winfrey) contains not a single MBA.
The limited ability to analyse data during the data collection process also restricted opportunities to adapt the question guide and the potential to explore new information.
Most importantly, the sample size was modest that limited our ability to analyse data by subsites of gastric cancer and subtypes of H. pylori.
Finally, the iCycler iQ's unique ability to analyse data at any point within a cycle or dwell time can be a significant advantage when evaluating certain detection chemistries including molecular beacons.
Similar(53)
The ability to analyse retrospective data as well as cross-sectional data allows comparison between specific time periods.
"The ability to analyse complex data in real time is becoming essential across business," Gregory Mead, co-founder chief executive of Semetric, said in a statement.
Amazon, which has approaching 240 million customers worldwide and annual revenues of nearly $75bn £46bnn), can trace its success back to its ability to analyse customer data and adapt its services accordingly, argues David Selinger, chief executive of San Francisco-based content personalisation specialist, RichRelevance.
Factor Facebook, Apple, Microsoft, Netflix and other big tech companies into the equation, and what we're seeing is a cut-throat, multi-billion race for a shrinking number of experts who could hold in their hands not just the future of the internet, but our ability to analyse massive data sets in science. .
We were restricted in our ability to analyse these data by the poor response rate and the significant time lag between submission of the RCTs (c. 2010) and distribution of the survey to the corresponding authors in 2013.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com